Management approaches in the field of smart
Faezeh Zamani; Ahmad Ebrahimi; Roya Soltani; Babak Farhang Moghaddam
Abstract
This research aims to investigate the effective factors in predicting lead time (LT) and create a predictive model of LT to improve sustainability and resilience for Kanban orders in the lean supply chain (LSC). The study follows the data mining (DM) method, and the dataset includes 103023 observations ...
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This research aims to investigate the effective factors in predicting lead time (LT) and create a predictive model of LT to improve sustainability and resilience for Kanban orders in the lean supply chain (LSC). The study follows the data mining (DM) method, and the dataset includes 103023 observations from the Kanban system, which were extracted in compliance with the requirements of the dataset quality indicators in the period 1402/6 to 1402/11. First, indicators affecting the LT of orders were extracted. Process mining was used to identify influential variables in high-variance processes to improve performance and accuracy. A stepwise analysis approach was used to select features for the model fitting stage. Also, tuning the parameters of non-parametric approaches was used. The predictive model uses Multiple Linear Regression, Multiple with curvature, Lasso, Elastic Net, Boosted Decision Tree, Bootstrap Random Forest, K-Nearest Neighbor, and Boosted Multi-Layer Perceptron. The performance of the fitted regression models has been confirmed using R^2, RASE, and validation of the results and model. The results showed that the logistical features are effective in LT, and the Boosted Multi-Layer Perceptron is the best for predicting orders' LT with an accuracy of 96% and an error of 5.84. Using the model's predictive capability for new data in the Kanban system, the results obtained within four months have been used. The improvements from using DM capabilities in the Kanban system all express the significant impact of combining lean and machine learning (ML) tools to empower and resilient Lean Supply Chain Management (LSCM).
Management approaches in the field of smart
seyed Mohsen Safavi koohsareh; seyed amin hosseini sano; Amirhossein Mohajerzadeh
Abstract
The primary objective of mobile network operators is arguably to maximize their efficiency. Beyond operational and investment costs, maximizing the utilization of available resources can help them achieve this goal. To this end, operators offer discounted data plans during off-peak hours to encourage ...
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The primary objective of mobile network operators is arguably to maximize their efficiency. Beyond operational and investment costs, maximizing the utilization of available resources can help them achieve this goal. To this end, operators offer discounted data plans during off-peak hours to encourage users to utilize the network during these times. These packages are typically based on the average traffic load across the entire network at different times of the day. However, they often overlook the fact that traffic patterns can vary significantly across different population areas within a city at various times. In this paper, different population areas are automatically identified using clustering based on traffic patterns. By identifying these areas and considering the traffic patterns specific to each area, the allocation of appropriate internet packages for users, based on the regions they frequent, is analyzed and discussed. Additionally, other potential applications of this clustering method for offering various services are presented, followed by a conclusion
Management approaches in the field of smart
Fahime Mahavarpour; Feiz Davood; Morteza Maleki Min Bash Razgah
Abstract
Augmented reality technology has emerged as one of the main trends in the digital market in recent years. This innovative technology, due to its appeal and potential, has been repeatedly applied in innovative businesses. The aim of this study is to conduct a systematic and comprehensive review using ...
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Augmented reality technology has emerged as one of the main trends in the digital market in recent years. This innovative technology, due to its appeal and potential, has been repeatedly applied in innovative businesses. The aim of this study is to conduct a systematic and comprehensive review using a bibliometric approach on the citation data of literature related to purchase decision-making based on augmented reality technology. A pragmatic paradigm allowed the researcher to systematically collect citation data from the Scopus database and preprocess it following the standard PRISMA protocol. Ultimately, 239 studies were included in the bibliometric analysis using R Studio and Vosviewer software. The final results identified the most influential documents, authors, journals, organizations, and countries, and highlighted key points regarding buyer behavior and purchase decision-making with augmented reality in virtual businesses through interactive patterns between elements and content analysis of the data. Additionally, it is noteworthy that this concept mainly revolves around five primary areas: virtual and psychological experiences of buyers in online shopping with augmented reality; the impact of artificial intelligence on new technologies in buyer behavior; interactions of technology, perceived value, and cognition on buyer experience in retail using mobile augmented reality; the role of augmented reality technology in purchase decision-making and smart shopping in the virtual space. The influential school of thought on augmented reality technology in buyer decision-making is associated with the stimulus-organism-response theory, which forms the intellectual foundation of this field.
Management approaches in the field of smart
Homa Soufi; Habib Roodsaz; Davoud Hosseinpour; Hosein Aslipour
Abstract
Digital transformation in the banking sector is recognized as a critical driver of growth and change. This study investigates the anticipated outcomes (both outputs and impacts) following the implementation of digital banking policies, utilizing an exploratory and applied-developmental approach. The ...
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Digital transformation in the banking sector is recognized as a critical driver of growth and change. This study investigates the anticipated outcomes (both outputs and impacts) following the implementation of digital banking policies, utilizing an exploratory and applied-developmental approach. The research adopts a mixed-method design, incorporating both qualitative and quantitative phases. In the qualitative phase, experts in banking and policymaking were interviewed using purposive sampling, reaching theoretical saturation after 25 interviews. In the quantitative phase, data was collected from 354 bank managers and professionals through a researcher-developed questionnaire. The data was analyzed using thematic analysis for the qualitative part and the Partial Least Squares (PLS) method for the quantitative part. The results indicate that the initial outcomes of digital banking policy implementation include improvements in revenue and market positioning, cost efficiency, customer acquisition and satisfaction, bank infrastructure, data management, banking products and services, banking technologies and channels, and risk management. Additionally, the long-term and sustainable impacts of digital transformation in the banking system encompass transparency and justice, the creation of new opportunities, the future outlook of banking and the economy, digital leadership and mindset, social and environmental impacts, long-term policymaking and planning, as well as internal and external networking.
Management approaches in the field of smart
Aryan Setareh Tabrizi; Ali Mohtashami
Abstract
Shipping industries in ports, as one of the strategic industries, have performed an important role in the optimized management of the transportation business in a country.in particular on country's economy. The future status of port’s business management can be seen in planning , access to new ...
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Shipping industries in ports, as one of the strategic industries, have performed an important role in the optimized management of the transportation business in a country.in particular on country's economy. The future status of port’s business management can be seen in planning , access to new technology in order to smartness, access to logistics, increase in specialized human resources and the impact of ports globalization. For this reason, the ports have to provide their services in a suitable qualification to plan for their development and demands supply.There have been major changes in ships technology that have affected the needs related to the construction and development of the port. Furthermore, the process of these changes will be more than this in the future which will have a direct effects on technology and the port’s facilities, In this article, in order to promote the ports and shipping industry, firstly, the main indicators of green and smart ports are identified by library studding and then interviews are conducted using the thematic analysis system approach. Next, the conceptual pattern of the research was drawn. Consequently, each index in the drawn pattern and the final index are evaluated in MATLAB software by (FIS). So, it is possible to determine the smartness and environmental indicators in the ports of the country for the first time. In this regard, Anzali port, one of the country's most important ports, will be implemented as a real example.
Management approaches in the field of smart
Elnaz Valizadeh Hamzekolaei; Ameneh khadivar; Fatemeh Abbasi
Abstract
Researches have demonstrated that many organizations leverage the analysis of user-generated opinions and content on social networks to cultivate knowledge and enhance decision-making. This study aims to analyze the financial performance of non-profit organizations by examining user-generated opinions. ...
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Researches have demonstrated that many organizations leverage the analysis of user-generated opinions and content on social networks to cultivate knowledge and enhance decision-making. This study aims to analyze the financial performance of non-profit organizations by examining user-generated opinions. The dataset comprises 26,714 user tweets from 23 global Twitter accounts and ten years of financial data (2010-2020) from five selected non-profit organizations. The results of topic modeling and sentiment analysis were converted into panel data. These results were analyzed using ordinary least squares (OLS) and dynamic ordinary least squares (DOLS) methods.Findings indicate a significant relationship between user-generated content and the financial performance of non-profit organizations. While positive sentiments did not exhibit a significant impact on financial performance, negative sentiments and retweets demonstrated a negative relationship, whereas likes showed a positive correlation with financial performance. By harnessing insights from user-generated content, non-profit organizations can optimize their content strategies to improve financial outcomes. Nevertheless, it is imperative to consider the adverse effects of negative sentiments and retweets to achieve substantial improvements in financial performance.
Management approaches in the field of smart
Mohammadakbar Sheikhzadeh; Mohammad Taghi Taghavifard; iman raeisivanani; Jahanyar Bamdadsoofi
Abstract
Crowdfunding is an effective way to achieve the non-profit goals of the charities which can be expanded using information and communication technology. In this regard, this study was conducted with the aim of providing an online donation intention model for collective financing of charitable institutions ...
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Crowdfunding is an effective way to achieve the non-profit goals of the charities which can be expanded using information and communication technology. In this regard, this study was conducted with the aim of providing an online donation intention model for collective financing of charitable institutions in Iran. The current research is an applied-developmental research in terms of its purpose, and it is considered a cross-sectional survey research from the data collection point of view. The statistical population in the qualitative section includes managers of charity institutions and university professors. Sampling was done using a purposeful method and theoretical saturation with 10 interviews. In the quantitative section, the views of 357 benefactors were used. The data collection tool is a semi-structured interview and a researcher-made questionnaire. To analyze the collected data, qualitative thematic analysis and partial least squares were used. The research findings showed that the technical infrastructure facilitating conditions, the quality and transparency of the website information, the security of the site and the application, and the preservation of privacy affect the perceived risk. Perceived risk affects the expectation of effort and the pleasure of helping others and leads to the expectation of performance and social influence. Finally, online donation intention is strengthened through trust.IntroductionToday, charity institutions in the country can expose to the various needs of the needy to the public using crowdfunding platforms, so that with the participation of people the necessary financial resources are provided and the problems of the needy and the deprived are solved. In this field, practical and scientific activities have also been carried out however one of the most important issues neglected from the researchers’ view point and activists in this field is the discussion of the desire or intention of online donation among benefactors. The best online donation platforms and the use of the latest technologies are not enough to attract public participation, and it is not easy to encourage and motivate people to donate online. This issue itself can be discussed from various aspects. On the one hand, the basic element of this method of financing is the maximum participation of people, and on the other hand, members of the society have little knowledge about the issue and do not have much desire to attend such calls.Therefore, in general, it can be said that the intention to donate online is a fundamental factor in the success of the efforts of the country's charities for crowdfunding. The basic question of this research is that: what is the online donation intention model for collective financing of charities in Iran?Literature ReviewCrowdfunding is an alternative way to finance a project with specific goals at a specific time through an online platform. The phenomenon of crowdfunding is emerging in the field of financing resources, goods and services in the modern digital field (Jiao and Yue, 2021). The current study focuses on the crowdfunding approach based on donations in Iranian charities. This method is mostly used in non-profit and philanthropic projects, and the participants do not expect any financial support, and are mostly used to finance charities, religious places, and civil institutions (Salido et al., 2021). In the crowdfunding method based on donation, the participants do not have any expectations for the provided financial support. The donor believes wholeheartedly in the correctness of his act and considers it to be socially beneficial. This model is usually used in financing civil institutions and charities (Van Thienbroek et al., 2023).MethodologyThis is an applied-developmental research. The population of participants in the qualitative section includes theoretical experts and experimental. Sampling was done with a purposeful method and theoretical saturation was achieved with 10 interviews. The sample size was estimated to be 357 people using Cochran's formula.The main tool for collecting research data is a semi-structured interview and a researcher-made questionnaire. And then, using ISM, the relationships between the main factors affecting the intention to donate online were determined by experts. The interview included 6 basic questions and was conducted in a semi-structured way. The research questionnaire includes 10 main constructs and 51 items with a five-point Likert scale. Thematic analysis was used to identify the categories of online donation intention for crowdfunding of charities in Iran. Data analysis was done in qualitative phase with MAXQDA software and in quantitative phase with Smart PLS software.ResultsThe results of the interviews were analyzed by the qualitative method of thematic analysis based on the six-step method of Etrid-Straling (2001). 830 open codes were identified in the first stage. After analysis and review, we reached 5 overarching themes, 10 organizing themes and 51 basic themes as below:Overarching themes: Social factors- Technical factors-Individual factors- Security factors- Consequence factors.Organizer themes: Performance expectation- Endeavour expectation- Social influence- Quality and transparency of website information- Technical infrastructure facilitating conditions- Trust- The joy of helping others- Perceived risk- Site and application security and privacy- Intention to donate online.DiscussionThe present study was conducted with the aim of presenting the online donation intention model for the collective financing of charitable organizations in Iran. Based on the results, it was determined that the facilitating conditions of the technical infrastructure, the quality and transparency of the website information, the security of the site and the application, and the protection of privacy affect the perceived risk. In the results of Zhang et al.'s (2023) and Shahidi and Kivani's (1401) studies, the technical infrastructure and website information components are also mentioned as important elements in the intention to donate online, and from this point of view, it is consistent with the results of the present study. It was also shown that the perceived risk affects the expectation of effort and the pleasure of helping others and leads to the expectation of performance and social influence. In the results of the studies of Hassanzadeh Sarostani et al. (2017) and Bass and Rushdi (2023), the importance of paying attention to the perceived risk is also mentioned, and from this point of view, it is consistent with the results of the present study. Finally, the results of the research showed that online donation intention is strengthened through trust. This importance has been confirmed in the results of Shahabi-Shojaei et al.'s study (1401).ConclusionThe present study was conducted with the aim of presenting the online donation intention model for the collective financing of charitable institutions in Iran. Based on the results, it was determined that the facilitating conditions of the technical infrastructure, the quality and transparency of the website information, the security of the site and the application, and the protection of privacy affect the perceived risk. It was also shown that the perceived risk affects the expectation of effort and the pleasure of helping others and leads to the expectation of performance and social influence. Finally, the results of the research showed that online donation intention is strengthened through trust.
Management approaches in the field of smart
vahid khashei varnamkhasti; Mahdi Ebrahimi; Shahram Khalil Nezhad; Fatemeh Motahari nejad
Abstract
.Today, digitization is considered as a requirement for all financial and monetary institutions and markets, and the banking industry is no exception. However, moving to digital banking is not an easy task for banks, and the digital revolution has become a major challenge for this industry. In order ...
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.Today, digitization is considered as a requirement for all financial and monetary institutions and markets, and the banking industry is no exception. However, moving to digital banking is not an easy task for banks, and the digital revolution has become a major challenge for this industry. In order to keep their business stable, banks need to launch digital platforms and create robust ecosystems around them that have the ability to evolve and adapt to the challenges caused by the chaotic and unpredictable environment in which organizations operate and the increase in internal inefficiencies. Therefore, this research was conducted with the purpose of modeling the generative mechanisms of the evolution of Iran's digital banking ecosystem. For this purpose, the qualitative content analysis method has been used. A semi-structured interview has been used to collect information using the opinions of experts in the field of digital banking. The analysis of the conducted interviews led to the identification of 674 themes, 181 codes, 59 subcategories, and 20 categories. The results of the research show that there are external factors, including cyber-attacks, political and governance obstacles, the increasing progress of communication and information technology, changes in the competitive environment, and conflicting investment relationships in the financial and banking fields, and internal factors, including the absence of strong security infrastructure in the network and weak security, weakness in digital human capital, changing needs and demands of actors, weakness in the traditional business model, and the lack of a management perspective regarding the growth of digital banking and regulatory and legal requirements, are the stimuli for the co-evolution of the elements of the digital banking ecosystem, which occurs with the activation of reinforcing and transformative generative mechanisms. The consequences of the evolution of the digital banking ecosystem can be classified into three levels: users, owner, and society.IntroductionIn the digital revolution, with the change in customer behavior and expectations and the behavior of businesses, the structure of the competition and the strategic context of the business world has changed, and the banking industry is not an exception to this rule; therefore, digitalization is considered a requirement for the banking industry. However, moving to digital banking is not an easy task for banks, and the digital revolution has become a major challenge for this industry. The previous studies have revealed that, so far, some banks have not been successful in facing the fundamental changes of the digital age and have not been able to take fundamental actions to stabilize their businesses. To this end, the first step to realizing these changes in the banking industry is a complete reconsideration of customer relations and the method of providing value to meet customer needs, business models, platforms, and ecosystems. Yet it is not enough to set up a digital platform ecosystem and just rapidly multiply it, as keeping it stable is also highly important as well. In fact, digital platform ecosystems that can be sustained over the long term are very rare. Therefore, digital platform ecosystems must have the ability to evolve and adapt to the challenges caused by the chaotic and unpredictable environment that organizations operate in as well as the increase of internal inefficiencies. Thus, besides the need for a complete rethinking of the digital banking ecosystem, the manner in which its evolutionary process has been in Iran's banking industry is important. Thus far, neither of these issues has been investigated in Iran which signifies the necessity of applied and fundamental research. The current research tries to fill this gap in the country.Research Question(s)What are the elements of the digital banking platform ecosystem and which will evolve in the future?What are the generative mechanisms of digital banking platform ecosystem evolution?What are the stimulating factors and consequences of the evolution of the digital banking platform ecosystem?Literature ReviewNowadays, digitization has become a strategic priority for the banking industry, and the establishment of digital banking requires creating a strong ecosystem around the digital banking platform and developing it. However, so far, there has not been any systematic and comprehensive approach regarding the evolution of the digital platform ecosystem. Previous studies identify digital platform ecosystems as highly evolving socio-technical arrangements that require rapid development and adaptation to ensure their long-term sustainability. Due to the lack of a clear conceptualization of the evolution of digital platform ecosystems, Stykova (2019) integrated different perspectives and proposed a novel conceptualization of the evolution of digital platform ecosystems. According to his studies, the evolution of the digital platform ecosystem delineates continuous changes in the digital platform ecosystem in relation to its actors, architecture, and governance. Through these changes, the simultaneous development of platform structures, infrastructure, functionalities, and governance regime occurs. The endogenous and exogenous events and factors emerging during the evolution of the digital platform ecosystem challenge the configuration of the ecosystem and lead to changing it. Staykova defines two types of generative mechanisms for the evolution of the digital platform ecosystem: transformative and reinforcing.MethodologyIn this research, the qualitative content analysis method is used. A group of experts in the field of digital banking in Iran's banking industry who have deep insight and the necessary knowledge about the subject of the research participated as the statistical population of this research. The purposive sampling method was employed for sampling and continued until the theoretical saturation was reached. Therefore, in this research, 21 interviews were conducted, and due to the incompleteness of some of them, in the end, by analyzing 18 interviews, the research questions were answered, and theoretical saturation was achieved.ResultsThe analysis of the interviews led to the identification of 674 themes, 181 codes, 59 subcategories, and 20 categories. Based on the results of categorization in thematic analysis and review of the theoretical foundations and the related literature, the elements of the digital banking platform ecosystem, including ecosystem actors, platform architecture, and platform governance were identified. Moreover, External factors, such as cyber-attacks, political and governance obstacles, the increasing progress of communication and information technology, changes in the competitive environment, and conflicting investment relationships in the financial and banking fields, as well as internal factors, such as the absence of strong security infrastructure in the network and weak security, weakness in digital human capital, changing needs and demands of actors, weakness in the traditional business model, and lack of management perspective regarding the growth of digital banking and regulatory and legal requirements, are the co-evolutionary stimuli of digital banking platform ecosystem elements, which appear as a result of the activation of generative, reinforcing and transformative mechanisms. Finally, the implications of the evolution of the ecosystem of the digital banking platform can be classified into three levels. The benefits of the evolution of the ecosystem for users are increasing the speed of providing and receiving services, gaining usefulness, improved security, freedom in providing and receiving services, ease of access, and co-creation of value. The implications of evolution for the owner (organization) are the Orchestrator role of the owner, dynamic capability, market size, increased revenue, increased productivity, and business sustainability. Furthermore, the outcomes of the evolution of the ecosystem at the community level include social, environmental, and economic benefits, which are indicators of reaching the maturity stage in the life cycle of the digital banking platform ecosystem.
Management approaches in the field of smart
vahideh alipoor; Mohammadreza Saadi; atefeh mehri bazghaleh
Abstract
This study aimed to investigate the effect of brand interaction through social media on brand loyalty through brand equity. The research is a descriptive research of the correlational type in terms of practical purpose and based on the method. The statistical population of this research includes the ...
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This study aimed to investigate the effect of brand interaction through social media on brand loyalty through brand equity. The research is a descriptive research of the correlational type in terms of practical purpose and based on the method. The statistical population of this research includes the customers of three Iranian brands, My, Cinere and Callista. The size of the population is considered unlimited and the G-POWER tool was used to determine the sample size and the statistical sample size was calculated to be 199 people. A simple random sampling method was chosen for data collection and the data collection required in this research was done using a localized standard questionnaire. In order to confirm content validity, CVI and CVR and expert panel were used. In order to determine the reliability of the questionnaire, Cronbach's alpha coefficient, combined reliability and homogeneous reliability were used. Because the data do not follow normal modeling; Therefore, structural equation model and partial least squares method and PLS software were used for hypothesis testing and path analysis. The results of this study showed that customer interaction with the brand through social media can have a positive effect on brand loyalty. Also, brand equity was a positive mediating factor in the relationship between brand interaction and brand loyalty. Among the three cognitive, emotional and behavioral paths, the behavioral path with a path coefficient of 0.630 is the best path in influencing customer interaction with the brand on brand loyalty.
Management approaches in the field of smart
Kamran Feizi; Hormoz Mehrani; Hossein Vazifehdoost; Ehsan Sadeh
Abstract
The purpose of this research is to identify the main components and dimensions of digital content marketing according to the conditions of Iran and to present a model using a qualitative method based on the Grounded Theory approach. Data were collected through semi-structured in-depth interviews with ...
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The purpose of this research is to identify the main components and dimensions of digital content marketing according to the conditions of Iran and to present a model using a qualitative method based on the Grounded Theory approach. Data were collected through semi-structured in-depth interviews with experts. These experts included university professors in the field of digital content marketing and managers and activists of advertising and digital marketing agencies. Using targeted sampling and after conducting 15 in-depth interviews, theoretical saturation was achieved after the implementation and analysis of interviews and open, axial, and selective coding. The results showed that digital content marketing is realized by these conditions. Causal conditions (Internet development, ease of use, popularity of cyberspace, ease of communication with customers, virtual network features, The appeal of Digital Content Marketing, changing customer behavior, changing current structures), contextual conditions (personal characteristics, social characteristics), intervening factors (technical limitations, increasing competitors, lack of access, unawareness, severity of the spread of Covid-19), central category (Digital Content Marketing), strategies (make it enjoyable, increasing participation, providing various services to users, using various methods to increasing audience, exchange of information, infrastructure improvement, audience-friendly style, customer orientation), and consequences (market expansion, increasing profitability, groundwork for brand creation). The results indicate that the research model is acceptable level. IntroductionThe emergence of digital networks and the wide spread of technology dramatically changed human life compared to the latest technological tools of the previous decades (Torkestani et al, 2020), so that nowadays customers have significantly changed their behavior in line with the technology and economic environment of the world (Rostami et al, 2022). Modern advertising is more cost-effective and inexpensive than traditional advertising (Abdulle, 2022). Therefore, to attract customers, trust must be gained first, and customers should feel satisfied with our brand before purchasing a product or service. These features can be found in digital content marketing (Mozaffari et al, 2023). Inflation and the prevailing economic recession have created difficult conditions for individuals and businesses (Naseri, 2017). To overcome these difficult conditions, a native model must be explained in the field of digital content marketing.Research Question (s)The main research question is as follows: What is the conceptual model for digital content marketing? What are the main components and dimensions of this model? Literature ReviewTorkestani et al. (2022) discussed the possibility of personalizing content for each audience, the emotions hidden in the content and the date of publication of the content, the way the author is a member and his identity in the online community. Tahmasebpour et al. (2022) considered digital marketing elements to include six components: technical features of digital tools, relative advantage, cost to customers, management of items and processes, promotion, service quality, and information quality. Rostami et al. (2022) also prioritized the factors affecting marketing in digital businesses in their research and did not provide a model that included all aspects of this issue. (Naseri, 2017) also only looked at content features in four categories, content inherent elements, form elements, content distribution media elements and effectiveness measurement elements. (Naseri, 2017) examined only the characteristics of the content in four categories; intrinsic content elements, form elements, content distribution media elements, and effectiveness measurement elements. (Lou & Xie, 2020) also emphasized in their research on shaping brand experience and customer loyalty of. Boban et al. (2020) only investigated the relationship between content entertainment and informational social influence and between self-expression and normative social influence and electronic word-of-mouth communication. Furr. (2019) considered digital content marketing as a branding tool for colleges and universities. Taiminen & Ranaweera, (2019) focused on support, engagement, and interaction in brand communication and perceptions. MethodologyIn terms of purpose, this research is fundamental and applied, and in terms of nature, it is in the category of qualitative research. In terms of approach, the Grounded Theory and paradigm model of Strauss and Corbin have been used as a research plan, which is based on the identification of causal conditions, contextual conditions, central category, intervening conditions, strategies and consequences, and describing the relationships between them. A semi-structured in-depth interview was conducted with 15 experts who were selected in a non-probable and purposeful manner. Sampling was performed until theoretical saturation using the snowball method. The research community includes digital experts (academic and non-academic). This group includes university professors in the field of digital content marketing, as well as activists and specialists in the field of digital content production (institutions and agencies of digital marketing and advertising). They have at least five years of scientific, research, and executive experience in DCM and at least a master's degree or doctorate in the fields of marketing management, information technology management, and other related fields. In the analysis of the data obtained from the interviews, after the full implementation of the text of the interviews, MaxQuda 2020 was used. Immediately after each interview, the interview text was extracted and typed, entered into the software, and open, axial, and selective coding procedures were performed. ResultsThe information obtained from the interviews resulted in the extraction of 135 concepts (open coding), which were placed in the form of 26 subcategories (axial coding) and 5 main categories (selective coding), as follows: Internet development, ease of use, popularity of cyberspace, ease of communication with customers, virtual network features, the appeal of Digital Content Marketing, changing customer behavior, changing current structures, technical limitations, increasing competitors, lack of access, unawareness, severity of the spread of Covid-19, personal characteristics, social characteristics, make it enjoyable, increasing participation, providing various services to users, using various methods for increasing the audience, exchange of information, infrastructure improvement, audience-friendly style, customer orientation, market expansion, increasing profitability, groundwork for brand creation.The paradigm model is presented in figure 1.Figure.1. Paradigm model of the research ConclusionThis article aims to design a digital content marketing model. Making it enjoyable in this research includes gamification in social networks, visualizing content according to people's tastes, using humorous content, and entertaining content. The obtained results showed that making it enjoyable is an effective strategy for digital content marketing. In this research, the following were discovered to increase participation in digital content: using celebrities, participating in online campaigns, holding contests, and building trust and commitment in customers. The results also show that increasing participation is an important strategy in digital content marketing. The services that can be paid in the production of digital content to attract the audience are as follows: offering discounts, bonuses to users, free training, and support. The obtained results also show that providing diverse services to users is an influential factor in digital content marketing strategies. Various methods of increasing the audience in this research include: providing outstanding and strange information, producing educational content, producing therapeutic content, producing sports content, using new ideas to produce content, producing fresh and new content, teaching new methods of producing content, increasing quality, extensive advertising, social network viral marketing, and content creation based on frequent words. The results show that the use of methods to increase the audience is the most effective strategy. Information exchange includes modeling external pages, modeling successful pages, participation in online campaigns, and content exchange. The obtained results show that information exchange has a significant impact on digital content marketing strategies. Improving the infrastructure in the field of digital content includes increasing the speed of the Internet, website design, and the production of powerful internal applications, which the results show is one of the most important strategies. Audience-friendly style also includes creating differentiation, special and unique style, being up-to-date; using one of the special effects is the mastery of body language. The results show that an audience-friendly style is one of the most effective strategies in digital content marketing. Customer orientation also includes content production based on society's problems, compliance with professional ethics, monitoring customer needs, finding customers' tastes, and honesty in content production. The obtained results show that customer orientation is an important strategy in digital content marketing.Keywords: Digital Content Marketing, Online Marketing, Brand Awareness, Grounded Theory. The purpose of this research is to identify the main components and dimensions of digital content marketing according to the conditions of Iran and to present a model using a qualitative method based on the Grounded Theory approach. Data were collected through semi-structured in-depth interviews with experts. These experts included university professors in the field of digital content marketing and managers and activists of advertising and digital marketing agencies. Using targeted sampling and after conducting 15 in-depth interviews, theoretical saturation was achieved after the implementation and analysis of interviews and open, axial, and selective coding. The results showed that digital content marketing is realized by these conditions. Causal conditions (Internet development, ease of use, popularity of cyberspace, ease of communication with customers, virtual network features, The appeal of Digital Content Marketing, changing customer behavior, changing current structures), contextual conditions (personal characteristics, social characteristics), intervening factors (technical limitations, increasing competitors, lack of access, unawareness, severity of the spread of Covid-19), central category (Digital Content Marketing), strategies (make it enjoyable, increasing participation, providing various services to users, using various methods to increasing audience, exchange of information, infrastructure improvement, audience-friendly style, customer orientation), and consequences (market expansion, increasing profitability, groundwork for brand creation). The results indicate that the research model is acceptable level. IntroductionThe emergence of digital networks and the wide spread of technology dramatically changed human life compared to the latest technological tools of the previous decades (Torkestani et al, 2020), so that nowadays customers have significantly changed their behavior in line with the technology and economic environment of the world (Rostami et al, 2022). Modern advertising is more cost-effective and inexpensive than traditional advertising (Abdulle, 2022). Therefore, to attract customers, trust must be gained first, and customers should feel satisfied with our brand before purchasing a product or service. These features can be found in digital content marketing (Mozaffari et al, 2023). Inflation and the prevailing economic recession have created difficult conditions for individuals and businesses (Naseri, 2017). To overcome these difficult conditions, a native model must be explained in the field of digital content marketing.Research Question (s)The main research question is as follows: What is the conceptual model for digital content marketing? What are the main components and dimensions of this model? Literature ReviewTorkestani et al. (2022) discussed the possibility of personalizing content for each audience, the emotions hidden in the content and the date of publication of the content, the way the author is a member and his identity in the online community. Tahmasebpour et al. (2022) considered digital marketing elements to include six components: technical features of digital tools, relative advantage, cost to customers, management of items and processes, promotion, service quality, and information quality. Rostami et al. (2022) also prioritized the factors affecting marketing in digital businesses in their research and did not provide a model that included all aspects of this issue. (Naseri, 2017) also only looked at content features in four categories, content inherent elements, form elements, content distribution media elements and effectiveness measurement elements. (Naseri, 2017) examined only the characteristics of the content in four categories; intrinsic content elements, form elements, content distribution media elements, and effectiveness measurement elements. (Lou & Xie, 2020) also emphasized in their research on shaping brand experience and customer loyalty of. Boban et al. (2020) only investigated the relationship between content entertainment and informational social influence and between self-expression and normative social influence and electronic word-of-mouth communication. Furr. (2019) considered digital content marketing as a branding tool for colleges and universities. Taiminen & Ranaweera, (2019) focused on support, engagement, and interaction in brand communication and perceptions. MethodologyIn terms of purpose, this research is fundamental and applied, and in terms of nature, it is in the category of qualitative research. In terms of approach, the Grounded Theory and paradigm model of Strauss and Corbin have been used as a research plan, which is based on the identification of causal conditions, contextual conditions, central category, intervening conditions, strategies and consequences, and describing the relationships between them. A semi-structured in-depth interview was conducted with 15 experts who were selected in a non-probable and purposeful manner. Sampling was performed until theoretical saturation using the snowball method. The research community includes digital experts (academic and non-academic). This group includes university professors in the field of digital content marketing, as well as activists and specialists in the field of digital content production (institutions and agencies of digital marketing and advertising). They have at least five years of scientific, research, and executive experience in DCM and at least a master's degree or doctorate in the fields of marketing management, information technology management, and other related fields. In the analysis of the data obtained from the interviews, after the full implementation of the text of the interviews, MaxQuda 2020 was used. Immediately after each interview, the interview text was extracted and typed, entered into the software, and open, axial, and selective coding procedures were performed. ResultsThe information obtained from the interviews resulted in the extraction of 135 concepts (open coding), which were placed in the form of 26 subcategories (axial coding) and 5 main categories (selective coding), as follows: Internet development, ease of use, popularity of cyberspace, ease of communication with customers, virtual network features, the appeal of Digital Content Marketing, changing customer behavior, changing current structures, technical limitations, increasing competitors, lack of access, unawareness, severity of the spread of Covid-19, personal characteristics, social characteristics, make it enjoyable, increasing participation, providing various services to users, using various methods for increasing the audience, exchange of information, infrastructure improvement, audience-friendly style, customer orientation, market expansion, increasing profitability, groundwork for brand creation.The paradigm model is presented in figure 1.Figure.1. Paradigm model of the research ConclusionThis article aims to design a digital content marketing model. Making it enjoyable in this research includes gamification in social networks, visualizing content according to people's tastes, using humorous content, and entertaining content. The obtained results showed that making it enjoyable is an effective strategy for digital content marketing. In this research, the following were discovered to increase participation in digital content: using celebrities, participating in online campaigns, holding contests, and building trust and commitment in customers. The results also show that increasing participation is an important strategy in digital content marketing. The services that can be paid in the production of digital content to attract the audience are as follows: offering discounts, bonuses to users, free training, and support. The obtained results also show that providing diverse services to users is an influential factor in digital content marketing strategies. Various methods of increasing the audience in this research include: providing outstanding and strange information, producing educational content, producing therapeutic content, producing sports content, using new ideas to produce content, producing fresh and new content, teaching new methods of producing content, increasing quality, extensive advertising, social network viral marketing, and content creation based on frequent words. The results show that the use of methods to increase the audience is the most effective strategy. Information exchange includes modeling external pages, modeling successful pages, participation in online campaigns, and content exchange. The obtained results show that information exchange has a significant impact on digital content marketing strategies. Improving the infrastructure in the field of digital content includes increasing the speed of the Internet, website design, and the production of powerful internal applications, which the results show is one of the most important strategies. Audience-friendly style also includes creating differentiation, special and unique style, being up-to-date; using one of the special effects is the mastery of body language. The results show that an audience-friendly style is one of the most effective strategies in digital content marketing. Customer orientation also includes content production based on society's problems, compliance with professional ethics, monitoring customer needs, finding customers' tastes, and honesty in content production. The obtained results show that customer orientation is an important strategy in digital content marketing.
Management approaches in the field of smart
Hosein Rahimi kolour; Rahim Mohammad khani
Abstract
The digital world provides many opportunities for marketers to reach customers. However, in the fast-paced world, finding new and innovative ways to advertise and sell products and services is very important. Due to the advancement of artificial intelligence and its development in the field of advertising ...
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The digital world provides many opportunities for marketers to reach customers. However, in the fast-paced world, finding new and innovative ways to advertise and sell products and services is very important. Due to the advancement of artificial intelligence and its development in the field of advertising and sales, professionals now have the tools to completely redefine the current understanding of branding, marketing, advertising and sales. The growing popularity of the Internet and the increased use of mobile devices are generating massive amounts of consumer data that feed artificial intelligence-based systems. This research is a type of mixed research with a qualitative and quantitative approach, which is a survey descriptive study in terms of its purpose, application, and in terms of data collection. The statistical population of the research was managers and experts in the field of digital marketing and IT in the field of advertising and sales, who were selected using the snowball sampling method. In the qualitative part, the tools for collecting information were library and articles review, interviews, and in the quantitative part, questionnaires. In the qualitative part of the data analysis method, using the theme analysis that was compiled with MAXQDA software and using the coding method, and in the quantitative part, the analysis method was based on Kendall's correlation test. According to the results of the research, 7 main themes, 22 sub-themes and 44 codes were discovered, which included the consequences of using artificial intelligence and machine learning in advertising and sales
Management approaches in the field of smart
Ghasem Zarei; Rahim Mohammad khani
Abstract
AbstractThe convergence of information technology, media and communication has changed consumer behavior in terms of searching, obtaining, processing and responding to company information or services. A company's ability to plan, implement and manage digital marketing to increase its competitiveness ...
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AbstractThe convergence of information technology, media and communication has changed consumer behavior in terms of searching, obtaining, processing and responding to company information or services. A company's ability to plan, implement and manage digital marketing to increase its competitiveness in the eyes of consumers is called digital marketing capability. The purpose of this research is to design a model for improving marketing capabilities by emphasizing the indicators of using digital marketing in industrial companies. This research is a type of mixed research with a qualitative and quantitative approach, which is a survey study in terms of its purpose, application, and in terms of data collection. The statistical population of the research was managers and experts in the field of digital marketing of industrial companies and university professors who were selected using the snowball sampling method. In the qualitative part, the data collection tool was an interview, and in the quantitative part, a questionnaire was used to identify the categories, and a semi-structured interview was used, and a questionnaire was used to validate the model. In the qualitative part of the data analysis method, the Grounded theory approach was based on the Strauss and Corbin method, which was compiled using MAXQDA software and using the coding method, and in the quantitative part, the analysis method was based on Kendall's correlation test.IntroductionThe availability of digital technologies for a growing number of companies offers new opportunities in terms of market and consumer research and analysis, as well as communicating with customers throughout the consumer life cycle and building brand awareness and loyalty. On the other hand, changes in consumer preferences and lifestyles, including the increase in time spent by consumers worldwide on digital media and their expectation of a highly personalized approach, make manufacturers' shift to digital tools a necessary condition for survival. Digital marketing strategies have been studied, however, research focused on the understanding and application of digital marketing usage indicators in digital marketing has not been analyzed and the novelty of the current study is that despite the exponential development of digital technologies and its emerging application in Unlike marketing, none of the previous studies have addressed the indicators of using digital marketing. The purpose of this study is to identify the factors influencing the improvement of digital marketing capability and to analyze a company's digital marketing usage index (DMUI) and to plan strategies derived from these indicators, as well as to identify the motivating, contextual and intervening factors to improve the digital marketing capability of industrial companies. Literature ReviewThe term digital marketing refers to almost all marketing activities that take place online. It is a collective term that includes all digital communication and advertising channels that businesses can use to communicate with existing and potential customers (Alexander, 2017) A company's ability to plan, implement and manage digital marketing is known as its digital marketing capability. It refers to a company's ability to use the Internet and other information technologies to facilitate deep customer interactions. Through these interactions, customers have access to the company's resources and information, and the company learns more about its customers. The processes, structures and skills that a company needs to succeed in the digital age are also defined as digital marketing capabilities (Chaffey, 2016). Digital transformation is a process of change that leverages technology and digital capabilities to create added value through business models, operational processes and customer experiences (Markanian, 2020). Therefore, digital transformation aims to improve entities by making significant changes in their characteristics through a combination of It is from information technology, computing, communication and connection (Viyal, 2019). Innovation Ecosystem Readiness is a measure of ecosystem readiness to accept innovation. Ecosystem interactions affect the adoption rate of organizational innovations (Wang, 2020).Adoption of digital marketing: shows the extent of use of digital marketing technology in the organization. Companies that are able to use digital marketing technology effectively tend to have higher levels of digital marketing capabilities (Wang, 2020). MethodologyThis research is a type of mixed exploratory research with a qualitative and quantitative approach, which is practical in terms of its goal. The method of data collection is, in the qualitative part, interviews, review of library documents, articles, and in the quantitative part, a questionnaire (survey). The statistical population of the research was managers and experts in the field of digital marketing of industrial companies and university professors who were selected using the snowball sampling method. In the qualitative part, the data collection tool was an interview, and in the quantitative part, a questionnaire was used to identify the categories, and a semi-structured interview was used, and a questionnaire was used to validate the model. In the qualitative part of the data analysis method, the grounded theory approach was based on the Strauss and Corbin method, which was compiled using MAXQDA software and using the coding method, and in the quantitative part, the analysis method was based on Kendall's correlation test. Results In this research, in order to meaningfully interpret the effective factors in improving digital marketing capabilities, personal views and personal experiences of experts, senior marketing managers in the digital field of industrial companies and university professors have been examined. Data collection was done through in-depth and semi-structured interviews with 18 people from the mentioned statistical community. It should be noted that the interview with the 13th person led to theoretical saturation and after that almost all the information and data were repeated, but for more certainty and the possibility of obtaining new data, we continued the interview until the 18th person. The interviews started in a semi-structured way by asking questions about the effective factors in improving the digital marketing capability, and the subsequent questions were designed based on the answers of the interviewees during the interview session, although certain frameworks were considered before the interview. The interview lasted approximately 40 minutes to an hour. The method of sampling in this research is judgmental (theoretical) and the interviewees were selected randomly during the research. Discussion and ConclusionThe results of the research showed that management factors in industrial companies can influence the promotion of digital marketing capability. The knowledge and expertise of the manager about the up-to-date science of marketing, the manager's belief in customer orientation, good thinking and risk-taking, creativity, management's confidence in the existence of expert human resources, financial and time resources for electronic marketing, management's enthusiastic desire to use existing and up-to-date technologies, use And having successful and related experiences in this field and ensuring the intention and decision of the management to invest in the development of digital marketing, can be considered as very important factors in the field of management. The company's strategies in terms of being customer-oriented, having clear visions for digital marketing and using communication and information technologies are very important for development in this field. Although a company's digital marketing capabilities can be achieved through one of the channels of digital marketing adoption, digital transformation, or innovation ecosystem readiness, digital marketing is about more than technology adoption. It is also about strategies for integrating technology into business processes. Digital transformation is the main driver of increasing digital marketing capabilities. Companies can enhance the role of managerial innovation, organizational readiness and perceived usefulness to improve their innovation ecosystem readiness. In addition, businesses must master changing and re-engineering new business models to accomplish digital transformation. Finally, in addition to implementing digital marketing through websites, social media, mobile marketing, and content marketing, the company should emphasize the importance of digital analytics, digital CRM, digital advertising, and display advertising.Although a company's digital marketing capabilities can be achieved through one of the channels of digital marketing adoption, digital transformation, or innovation ecosystem readiness, digital marketing is about more than technology adoption. It is also about strategies for integrating technology into business processes. Digital transformation is the main driver of increasing digital marketing capabilities. Companies can enhance the role of managerial innovation, organizational readiness and perceived usefulness to improve their innovation ecosystem readiness. In addition, businesses must master changing and re-engineering new business models to accomplish digital transformation. Finally, in addition to implementing digital marketing through websites, social media, mobile marketing, and content marketing, the company should emphasize the importance of digital analytics, digital CRM, digital advertising, and display advertising.Keywords: digital marketing, digital market capability, digital marketing index, industrial companies.
Management approaches in the field of smart
Manuchehr Karbasi; Ghanbar Abbaspour Esfeden; Seyedeh Sedigheh Jalalpour; Peyman HajiZadeh
Abstract
AbstractNowadays, the development of science and technology parks and improving their performance depends on cooperation with industry and university and communication with the environment and related centers. Hence, it is important to identify cooperation network and networking indicators in science ...
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AbstractNowadays, the development of science and technology parks and improving their performance depends on cooperation with industry and university and communication with the environment and related centers. Hence, it is important to identify cooperation network and networking indicators in science and technology parks. The purpose of this research is to identify the indicators of networking in science and technology parks. The method of the current research is qualitative and in it three methods of metacomposition, fuzzy Delphi and Dimetal were used. A search was made in Persian and English databases and 10 related studies were identified and analyzed. In order to verify the networking indicators extracted from the theoretical literature, 13 experts and managers of Pardis Technology Park were surveyed and the indicators were confirmed by the experts using the fuzzy Delphi method. In order to draw the causal model of the relationships between the indicators, DEMATEL method was used. The data was analyzed using Excel software. The results showed that networking in science and technology parks has 15 indicators, such as improving the level of products, information, increasing market share, goals and creating value. According to experts, the market share increase index is the first priority and organizational learning is the last. Drawing the causal model of networking showed that indicators such as management, organizational learning, information and knowledge are effective indicators. Indicators such as new product development, market opportunity creation, relationships and opportunity exploitation are also effective indicators in the networking of science and technology parks.IntroductionNowadays, the development of science and technology parks and improving their performance depends on cooperation with industry and universities and communication with the environment and related centers. Hence, it is important to identify cooperation network and networking indicators in science and technology parks. The ultimate mission of technology parks is to be able to coordinate the results obtained from academic research with the needs of the industry and thus fill the gap between the industry and the university, and this will ultimately lead to the commercialization of knowledge. One of the major influential factors in changing the approach of science and technology parks and creating new structures and mechanisms is the birth of new concepts such as networking in the field of business. The purpose of business networking is to increase competition, cooperation and organizational expansion. Considering the importance of these centers and the impact of networking on their performance, it is essential to identify the indicators of networking in science and technology parks. So far, many researchers have investigated the relationship between science and technology parks and other actors in the innovation ecosystem, but few researchers have focused only on the indicators of park networking. In this regard, this research aims to identify the factors influencing the networking of science and technology parks and to evaluate the cause-and-effect relationships between these factors by using the method of a systematic review of previous studies (super combination) and a survey of experts. This question should answer what are the indicators of networking in science and technology parks.Literature ReviewPaztto and Burin's research (2022) indicates that management control systems are effective in inter-organizational cooperation and identification of companies. This system promotes collaborative behaviors among companies related to science and technology parks. Networking and inter-organizational partnership ultimately lead to knowledge and information sharing, increasing flexibility, improving problem-solving strategies and limiting the use of power. The research of Glitova et al. (2022) showed that for cooperation and networking between industry, university and the public sector, attention should be paid to indicators such as knowledge creation by universities, research and development centers and businesses, technology transfer, creation of new businesses, industrial clusters, Business support services, customization, building the necessary infrastructure and equipment, and legal requirements at the local level are required. The research of Khan-Mirzaei et al. (2021) showed that networking and emphasizing cooperation and communication between science and technology parks and growth centers can lead to gaining a competitive advantage for the national economy. Communication with universities and research and development centers, cooperation with companies that have a similar field of work, access to the information flow and access to the information needed in the market, or in other words, the market situation, are among the factors that create a cooperation network between Science and technology, industry, university parks are important. In confirmation of this issue, Cadorin et al. (2019) stated that talent resources and the government play an important role in promoting cooperation between science and technology parks and universities. Managers of science and technology parks should strengthen their relationship with local universities and the student community (as sources of talent) and pay attention to their relations with government representatives to receive the necessary support for the development of the park.MethodologyThe method of the current research is qualitative and in it, three methods of Meta-synthesis, Fuzzy Delphi and DEMATEL were used. A search was conducted in Persian and English databases and 10 related studies were identified and analyzed. To verify the networking indicators extracted from the theoretical literature, 13 experts and managers of Pardis Technology Park were surveyed and the indicators were confirmed by the experts using the Fuzzy Delphi method. To draw the causal model of the relationships between the indicators, DEMATEL method was used. The data was analyzed using Excel software.ResultsIn this research, a set of 62 codes and 15 indicators was obtained by extracting concepts effective on park networking from previous qualitative research. The main indicators include improving the level of products, and information, increasing market share, goals (park goals, socio-economic and environmental goals), creating value, exploiting the opportunities available in the park, optimizing resources, and developing new products, Knowledge includes the knowledge of the market-partners and co-creation of knowledge, the international and commercial performance of the park, creating opportunities through the market, management, the need for resources and operational resources, creating and developing relationships and organizational learning. According to experts, the market share increase index is the priority and organizational learning is the last. The indicators of relationships, value creation, resources, market opportunities, goals, management, knowledge, exploiting opportunities, resource optimization, performance, upgrading products, information and new product development are ranked second to fourteenth respectively. Indicators of management, organizational learning, information, knowledge, goals, resources, and upgrading of products are effective indicators. New product development, creating market opportunities, and relationships, exploiting opportunities, optimizing resources, creating value, and increasing market share and performance are also influential indicators in the networking of science and technology parks.ConclusionThe review of the subject literature showed that paying attention to the indicators obtained in this research can lead to networking in science and technology parks. For example, the implementation of the indicators of improving the level of products, increasing market share, park goals, creating value, exploiting opportunities, knowledge, creating market opportunities, relations between actors, organizational learning and technical and human resources in Nihu Technology Park and Nankang Software Park in Taipei City. Networked. Researchers have pointed out various actors in the cooperation network of science and technology parks. The review of the texts in the meta-synthesis stage showed that each of the sources identified one to three actors based on their purpose. What was tried to be considered in this research was the gathering and consensus of all actors and their placement in the form of networking indicators such as increasing market share, resources and management. Among the new findings of this research, we can mention the type of causal relationships that are established between the indicators of networking in science and technology parks. Most researchers have not paid attention to these relationships and have focused more on the relationship between the park and variables such as innovation, performance, development, etc. However, the identification of networking behavior and the type of communication between the elements of this ecosystem can lead to the improvement of performance and optimization of activities and actions, and in this research, we tried to consider more and more comprehensive indicators in the cooperation network. be placed Finally, the purpose of the formation and development of science and technology parks is to increase the capacity of innovation and the growth of the knowledge-based economy through knowledge management (creation, sharing and access to knowledge and technology) among the members of the cooperation network of parks and to develop and commercialize the product, it becomes possible by them.Keywords: Networking Indicators, Science and Technology Parks, Meta-synthesis, Fuzzy Delphi, DEMATEL.
Management approaches in the field of smart
Soroush Ghazinoori; Sohrab Aghazade Masroor; Mohamad Naghizadeh; Mojtaba Hajian Heidary
Abstract
AbstractThe reduction of profit margins and the disappearance of past competitive advantages have pushed companies in Petrochemical industries toward innovation by utilizing digital capabilities. This necessitates the establishment of a strategic alignment between digital capabilities and innovation ...
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AbstractThe reduction of profit margins and the disappearance of past competitive advantages have pushed companies in Petrochemical industries toward innovation by utilizing digital capabilities. This necessitates the establishment of a strategic alignment between digital capabilities and innovation strategies and decisions. This research aims to examine the dimensions of alignment between digital capability variables and innovation strategies and create a framework for its assessment. Initially, by reviewing the background of studies, a framework for assessing each of the variables was developed. Subsequently, a questionnaire for confirmatory structural analysis of the identified concepts and dimensions was formulated. This questionnaire was completed by 99 experts in innovation management, digital technologies in the industry, and academia. As a result, it was determined that to assess the level of alignment between digital capabilities and innovation strategies, creating digital value and digital innovation processes for innovation strategies, digital innovation infrastructure and digital innovation capabilities for digital capabilities, and complementarity, balance, and coordination for alignment were considered as assessment dimensions of the variables.IntroductionToday, the advantages of the past in the petrochemical industry are diminishing, and the competitive landscape is changing. It can be noted that one of the main challenges encompassing the petrochemical industry today is enhancing competitiveness and reducing operational costs, which require innovation in the use of new technologies (O. V. Zhdaneev, V. Korenev, and A. S. Lyadov, 2020).Most organizations in this industry use structures and organizational procedures that are not well-suited for utilizing innovative capabilities, including digital capabilities (Alexey Shinkevich, Naira Barsegyan, Vladimir Petrov, and Tatyana Klimenko, 2021). On the other hand, organizations are striving to create complementarity between their different capabilities to strengthen potential innovation capacity (Rogier van de Wetering, Patrick Mikalef, 2017).Therefore, one of the crucial questions for companies in the petrochemical industry can be how to assess the alignment between digital capabilities and innovation strategy. Consequently, the goal of this research is to identify appropriate dimensions and components for assessing the alignment of digital capabilities and innovation strategy in the petrochemical industry. To achieve this, the relevant concepts related to the main variables are identified and examined, and based on this, the dimensions and components under these variables will be confirmed through a validation process to create an assessment tool. Literature ReviewIn the examination of digital capabilities in the petrochemical industry, it can be noted that new processes and patterns are emerging due to adaptation to new technologies, (Amankwah-Amoah, J., Khan, Z., Wood, G., & Knight, G., 2021). Studies conducted on dynamic capabilities (Loureiro, R., Ferreira, J. J., & Simoes, J., 2021) claim that the proper combination of resources and capabilities allows organizations to gain a competitive advantage and improve their performance. (Torres, R., Sidorova, A., & Jones, M. C, 2018). From automating data movement to leveraging processes, all of these have a significant impact on creating added value and generating income (Oztemel, 2018). Based on this, to assess the digital capability variable, one can consider the effective use of digital innovation resources, the management of digital innovation networks, the capacity for absorbing and accepting digital innovation, predicting trends and technologies, managing digital innovation risks, access, transparency, and information security, advanced analysis, and artificial intelligence, as primary components.Pisano introduces three key questions as the pillars of innovation strategy: The first question is how the organization's innovation creates value for potential customers. The second is how the company gains a share of the value it creates due to its innovation. The third question returns to the type of innovations that enable the company to create and gain value, and what resources each innovation requires (Pisano, 2015). The role and position of digital technologies in addressing these key questions seem crucial. Since digital technologies have significantly influenced technical and social changes for individuals and societies, including organizations, they have caused products, services, processes, and business models to have a more substantial impact (Ciriello RF, Richter A, Schwabe G, 2018).The concept of alignment implies the existing collaboration between different organizational units based on environmental needs. Organizations with greater alignment perform better in various performance standards, and an aligned organization has internalized directions (Labovitz, G. H., & Rosansky, V., 1997). Growth and profitability are ultimately the results of alignment between employees, customers, strategies, and processes (Labovitz, G. H., & Rosansky, V., 1997). It is necessary for organizations to prepare for changes by creating structures and processes that can easily be adjusted and realigned (Galbraith, 2002). Alignment should exist at all levels of the organization (individuals, projects, systems, and the company). In recent studies, digital platforms and the ecosystem around the company have been added to the scope (Coltman, T., P. Tallon, R. Sharma, and M. Queiroz, 2015). MethodologyThis research was conducted with an applied approach using quantitative methods and confirmatory factor analysis. The main question in this study relates to the components and dimensions of assessing the alignment between two variables: digital capability and innovation strategy. Therefore, it was necessary to identify and categorize concepts, indicators, and main dimensions of each of the three variables (alignment, digital capability, and innovation strategy) based on previous studies, and this formed the basis for analysis in the confirmatory factor analysis. Based on the identified concepts and indicators for the variables, a questionnaire was developed. A total of 120 individuals were identified. A purposive sampling method was used to collect their opinions, and questionnaires were distributed. In the end, 110 responses were received, of which 99 were usable. The reliability of the questionnaire was calculated for each of the variables, and all of them had values above 0.7 (as reported in the findings). Then, using the smart PLS software and the confirmatory method, the sub-structures of each of the variables were modeled. ConclusionBased on a review of the literature and relevant concepts and topics related to the research question, a comprehensive understanding was developed. Previous alignment models in organizations have mostly focused on information technology and high-level business strategies.Regarding the assessment of the innovation strategy variable, it's important to note that, given the decreasing profit margins and the increasing operational costs of companies, a shift toward value-oriented strategies (economic, social, etc.) is becoming more prominent. The realization of value can be achieved through customizing products, improving industrial processes, automating decision-making, and increasing the speed of decision-making in innovation. On the other hand, digital technology has brought fundamental changes to innovation management processes, requiring companies to be attentive to new tools and approaches when formulating innovation strategies. Artificial intelligence aids in identifying new opportunities, while big data analysis helps organizations make decisions based on their past records and experiences.Furthermore, as companies in the petrochemical industry need to create digital capabilities for success in the field of digital innovation, some of these capabilities will be focused on changing historical business routines. In this context, businesses strive to continuously evaluate the returns on their digital projects and optimize resource allocation. Additionally, the enhancement of digital literacy, thinking, and human capital competencies, often referred to as digital talent, is essential.In the context of digital capability and innovation strategy, there are three main dimensions. The first is coordination. If the path to digital innovation is pursued in a fragmented and uncoordinated manner within the organization, it is unlikely to enhance organizational performance and alignment. Therefore, organizational goals and needs in the digital innovation and digital capability domains should be coordinated, and the organization should be able to establish new processes to create dynamism in the problem-solution and digital innovation processes. Moreover, stronger attention and balancing are required, as unbalanced attention to digital capability or innovation strategy can disrupt alignment and equilibrium between organizational capabilities. This indicates the importance of flexibility and transparency regarding resource allocation. The illustration of model is showed in figure 1.Figure 1. Dimensions of alignment of digital capability and innovation strategy Keywords: Digital Capabilities, Innovation Strategy, Alignment, Digital Innovation. v
Management approaches in the field of smart
Atieh Moghaddam Monfared; Abbas Toloie Eshlaghy; Reza Ehtesham Rasi
Abstract
AbstractConsidering that the users are the main focus of immersive journalism, any study in this field without understanding and recognizing them is incomplete. The quality of the VR news experience depends on many parameters, the most important of which are related to the cognitive and behavioral science ...
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AbstractConsidering that the users are the main focus of immersive journalism, any study in this field without understanding and recognizing them is incomplete. The quality of the VR news experience depends on many parameters, the most important of which are related to the cognitive and behavioral science of the users, apart from the technological factors that are prerequisites for making VR. In this regard, through interviews with experts in journalism and cognitive sciences, this research identified the categories that influence the depth of user’s immersion based on the Grounded Theory methodology and finally presented a conceptual model. The phenomenon of the model is “user involvement”. This category is affected by contextual factors such as "user’s demographic characteristics" and "type of news", as well as the intervening factors of "trauma" and "preventing factors of using virtual reality". In addition, the three categories of "cognition", "narrative" and "crafting pieces" provided the causal conditions that are the basis for the immersion in the news narrative. Finally, "focusing on user’s cognitive factors" in creating VR pieces is the interaction strategy that brought two consequences of "increasing immersion" and "changing norms and behaviors". IntroductionIn an era characterized by rapid technological advancement and digital transformation, journalism stands at the precipice of a profound evolution. The fusion of virtual reality (VR) with journalism has emerged as a pioneering innovation, propelling the field into a new dimension – the metaverse. This dynamic convergence is reshaping how news is both reported and consumed, presenting a paradigm shift that warrants a closer examination. Traditional journalism has long been the cornerstone of information dissemination, serving as society’s watchdog and providing a lens through which we view the world. However, with the advent of VR and its integration into news reporting, we find ourselves on the cusp of a revolution that promises to redefine the very essence of journalism. The immersive nature of VR enables audiences to step inside the stories they consume, transcending the limitations of two-dimensional screens and forging a connection that goes beyond words and images. At the heart of this transformation is the metaverse –a digital universe where virtual and real-world experiences coalesce seamlessly. Within this expansive virtual realm, the potential for immersive, interactive journalism knows no bounds (Uskali & Sirkkunen, 2020, P. 6).In an ever-evolving landscape of journalism, Virtual Reality (VR) journalism stands as a transformative force, not merely conveying information to audiences, but immersing them in the stories with a dynamic and active role. One of the intriguing aspects of this evolution is the dynamic role played by the audience, who, in the realm of Virtual Reality and the metaverse, are no longer passive news consumers but active participants in the storytelling process. Traditionally, audiences in journalism assumed the role of static observers and receivers of news (Shin, 2018, P. 65). However, with the emergence of Virtual Reality and its integration with the metaverse, audiences are no longer mere spectators; they become active participants deeply embedded in situations and places beyond their physical reality. This transcends the conventional viewing of news reports and empowers audiences to actively contribute to news production (McMahan, 2016, P. 68).Secondly, within the metaverse, audiences interact with characters and other audience members, express their opinions, and directly engage in news creation. These active interactions provide a powerful tool for fostering increased engagement and a deeper understanding of news topics (Shin, 2016, P. 141). In this article, we delve into the exploration of the dynamic role of audiences in Virtual Reality journalism and examine the impacts of this role on the reporting process and media communications. From shifting public opinions to experiencing active audience engagement in the metaverse, we delve deep into these transformations, highlighting the formation of a two-way and dynamic relationship between media outlets and their audiences.Research QuestionHow can we enhance audience immersion in virtual reality news content by strategically addressing their perceptual systems and cognitive factors? Literature ReviewVirtual reality (VR) in storytelling, exemplified by De la Peña et al.'s (2010) "Immersive Journalism," demonstrates its popularity. The study explores user participation in simulated news events, highlighting heightened presence through avatars and virtual scenario reconstruction. It advocates for a fundamental shift in journalism perspectives, aligning with embodied cognition theory. Immersive journalism aims to provide empathetic, simulated experiences, potentially influencing real-world actions. VR's impact on perceptual experiences is acknowledged, with powerful illusions forming the foundation of these experiences.It discusses the unique potential of virtual reality (VR) in journalism, emphasizing its ability for deep behavioral influence. Research, like that of Yee & Bailenson (2007), indicates that avatars in VR can alter user behavior. Recent studies focus on VR’s positive role in creating empathy. For example, Ma (2020) suggests immersive storytelling enhances social engagement. Breves (2021) explores how spatial presence in VR persuasively impacts cognitive processes. The text touches on the emergence of the metaverse and highlights the need for further research in the evolving field of VR journalism. MethodologyIn this article, the research process follows an inductive approach due to the absence of specific laws for identifying cognitive factors influencing the quality of user immersion in virtual reality (VR) experiences. The study aims to explore these cognitive factors affecting immersion by engaging targeted experts in journalism, VR, cognitive sciences, and VR content creators. Data collection involves document analysis and in-depth interviews using Skype. The data is analyzed using the Strauss and Corbin method with a focus on cognitive factors impacting user immersion in VR storytelling.The research participants were selected purposefully, and key themes in the interviews include defining cognition, main stimuli for cognitive factors, factors inducing immersion, cognitive factors affecting user engagement, and interaction with simulated environments. The research process spans over four years, and to enhance credibility, the researcher consulted participants and another expert coded four interviews for inter-coder reliability, yielding a reliability coefficient of 73.0%. The study’s reliability is confirmed as the coefficient is above 70%. ResultsIn the Grounded theory approach, interview texts underwent open coding, extracting initial codes that were then compared to identify related phenomena. Concepts like “attention” emerged, involving cognitive focus, intentional neglect of irrelevant details, and concentrating energy on essential information to avoid distractions and complete specific tasks.All concepts were extracted through this process. The identification of concepts and categories continued until the researcher did not discover any new concepts, essentially reaching saturation. In total, 100 codes, 29 concepts, and 14 categories were identified. Figure 1. Conceptual Model of cognitive factors affecting audience immersionCasual Conditions CognitionNarrativeCrafting the pieceCentral Phenomenon User Engagement and Immersive PerceptionStrategies Focusing on the user's cognitive factors in creating virtual reality news piecesOutcomes Increasing perceived immersionChanging norms and beliefs Intervening Conditions Demographic User FeaturesNature of News Contextual Conditions TraumaInhibiting Factors of Virtual Reality Usage Discussion5.1. Central phenomenonThis article focuses on “User Engagement and Immersive Perception,” highlighting the significance of “Interaction” as a cornerstone for user immersion. Seamless alignment of virtual events with user expectations fosters a profound sense of immersion. Quotes emphasize the impact of substituting real-world stimuli, physically adjusting viewpoints, and empowering users to explore beyond scripted narratives. The provided quotes shed light on identified codes:“The substitution of real-world stimuli with virtual counterparts elicits a profound sense of complete immersion.”“Empowering users to explore the environment beyond scripted narratives results in an unmistakable enhancement of immersion.”The concept of the “First-Person Experience” plays a crucial role in immersive journalism. The objective is to immerse users in a first-person perspective during events, allowing them to undergo news stories firsthand. Quotes highlight the experiential context of stepping into a story, encountering it through a first-person lens, and the critical role of three-dimensional graphics in creating an interactive first-person perspective. The immersive experience transforms into knowledge unattainable through traditional journalism, showcasing the potency of both conventional and immersive storytelling. The following quotes further underscore this concept:“In an experiential context, individuals step into a story, encountering it through a first-person lens, moving within and interacting realistically.” “These theoretical discussions share striking similarities, emphasizing the critical role of three-dimensional graphics in crafting the illusion of a fully interactive first-person perspective, transcending mere camera positions.”5.2. Casual conditionsFocusing on enhancing immersive quality, three pillars shape the experience: “Cognition”, “narrative” and “ crafting the piece”.Cognition:Schema: Users’ knowledge structures impact immersion. If experiences don’t align with existing schemas or create new ones, cognitive dissonance disrupts harmony.Orientatin: Recognizing individuals and self-awareness are vital for enjoyment and immersion.Past Experience: Similar past experiences significantly influence users’ perception and immersive depth.Narrative:Realism: Theplace illusion and plausibility in virtual environments are crucial for perceptual stability and creating a tangible experience.Interactive Scenario: Active user participation enhances the illusion of presence, blurring the line between observer and participant.Crafting the Piece:Audio Quality: Sound is the backbone of storytelling, playing a crucial role in immersive journalism.Visual Quality: Initial immersion relies on visual display, creating a sensation unique to immersive journalism.These elements converge to craft an engaging and immersive virtual reality journalism experience.5.3. Contextual conditionsThe categories of “Demographic User Features” and the “Nature of News” chosen for virtual reality creation acts as the linchpin determining the augmentation or hindrance of immersive quality. These elements, encompassing age, gender, education, and social standing, prove pivotal. Emotional variances, persuasiveness, age, and the overall well-being shaping users’ lives are initial influencers, possibly steering the audience’s propensity for virtual reality engagement and, on a broader scale, molding their conduct and viewpoint. Noteworthy quotes include:“Attitudes cultivated through profound cognitive engagement or transformative shifts compared to those grounded in superficial cognitive processes cultivate more enduring and favorable behaviors.”“The behavior and mindset of an individual hinge on their literacy and knowledge levels. Consequently, this can significantly impact the user’s ability to connect with the narrative.”Conversely, the selection of news types for virtual reality production holds significance. Not all news is inherently suitable for virtual reality journalism, with only specific themes demonstrating aptness for this platform. If the chosen news type is incongruous, it risks diminishing the level of immersive experience. Conversely, judicious selection of news types can yield superior outcomes in captivating the audience with the subject matter. Exemplary quotes comprise:“While immersed in crime journalism, theft, and media coverage of racism, gender discrimination, and the like, we navigate these realms. Yet, I contend that only select topics within this spectrum prove beneficial and practical for virtual reality journalism.”“News conducive to immersive journalism are those that enrich the user’s comprehension of the event, actively involving them in the unfolding narrative.”5.4. Intervening conditionsTwo significant factors, ‘Trauma’ related to users and ‘Inhibiting Factors of Virtual Reality Usage’ tied to technology, exert substantial negative influence, undermining the core subject’s quality. The combination of ‘Disorder’ and ‘Claustrophobia’ shapes the ‘Trauma’ issue, with virtual reality equipment intensifying anxiety and inducing discomfort, impacting the immersive experience. The narrative space acts as an amplifier, heightening anxiety, particularly for users with real-world trauma, posing risks for producers. Additionally, barriers like high costs and limited accessibility hinder widespread virtual reality adoption, creating a challenging landscape. Noteworthy quotes emphasize caution in deploying tools for trauma survivors and address potential medical or psychological consequences, highlighting the obstacles in virtual reality’s emerging technology adoption.5.5. StrategiesThe primary goal of immersive journalism is to foster empathy by enabling the audience to connect with narrated stories, placing themselves in similar situations. Immersion is achieved when the news storyline aligns with the audience’s cognitive factors, enhancing their inclination and motivation. Focusing on cognitive elements plays a significant role in immersing the audience in the virtual narrative.5.6. Outcomes The presented strategy of “increasing perceived immersion” among audiences leads to broader outcomes, such as “changing norms and beliefs.” Immersion involves concepts like “suspension of disbelief,” “acceptance,” and “transference,” emphasizing user interaction with news narratives and a more realistic understanding of the virtual world. Norman Holland suggests that when individuals engage with a narrative, their brains immerse in perception, delaying critical evaluation until disengagement. This immersion is crucial for empathy and unbiased judgment. Additionally, focusing on cognitive factors can intensify audience immersion.On the other hand, the shift in norms and beliefs is the second outcome of immersive journalism’s cognitive focus, encompassing “catharsis” and “creating new knowledge.” The virtual space enables individuals to explore events without real-world consequences, aiding emotional release and achieving catharsis. Moreover, immersive news, addressing issues like climate change, can evoke empathy and drive societal change. The impact extends to individual, social, and global levels, showcasing the potential of this industry to influence behavior and reshape global societal norms. Conclusionimmersive journalism, utilizing virtual reality (VR), transforms storytelling by immersing users in news events. Dolapena’s 2010 study emphasizes a shift in journalism perspectives, focusing on cognitive factors like perception and psychology. The proposed model, derived from expert interviews, identifies six key elements, emphasizing user engagement, environmental interaction, and immersion perception. Strategic attention to cognitive factors enhances user involvement, increasing empathy and immersion. The primary outcome is heightened user empathy, while the secondary outcome positively impacts global norms and beliefs. Challenges in VR storytelling revolve around the dynamic relationship between immersion and user cognition, emphasizing the pivotal role of individual characteristics.Keywords: Virtual Reality, Immersion, Narrative, Immersive Journalism, Cognition.
Management approaches in the field of smart
Mojtaba Ahmadi; Alireza pourebrahimi; Ladan Riazi; Seyed Abdollah Amin Mousavi
Abstract
In this paper, the challenges to the implementation of the IT audit process in Iran's banking network have been identified through a number of case studies in four large Iranian banks. The data has been collected through conducting 20 interviews with experts in both IT management and IT audit fields ...
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In this paper, the challenges to the implementation of the IT audit process in Iran's banking network have been identified through a number of case studies in four large Iranian banks. The data has been collected through conducting 20 interviews with experts in both IT management and IT audit fields of the mentioned credit institutions, and reviewing some of their internal documents. In this research, 20 cases of the main challenges and problems in the implementation of the IT audit process were identified. The findings of the research showed the existance of "Lack of independence and existence of common financial interests", "Inability to establishing communication between IT audit unit and IT unit", "Inappropriate organization and administrative structure of the entity under audit", "Lack of specialized information technology knowledge and necessary capabilities" information technology audit", "insufficient experience and inappropriate records of information technology auditors", "lack of valid training courses and lack of auditors having valid international certificates and documents of information technology audit" and "insufficient self-confidence of auditors", are among the main challenges to the implementation of the audit process that is considered information technology. The research also provide, while providing the background for future studies regarding the formulation of frameworks and models for the implementation of IT audits in banks for researchers, helps credit institutions to take effective measures to implement the IT audit process by identifying these challenges.
Management approaches in the field of smart
maryam ahmadi; Mehran Ziaeian; Hajar Soleymanizadeh
Abstract
Nowadays, intelligence and industry 4.0 has been the focus of many industries due to its various benefits such as tracking raw materials and manufactured products, reducing costs, etc. One of the most important factors in facilitating the implementation of Industry 4.0 is human resources. The purpose ...
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Nowadays, intelligence and industry 4.0 has been the focus of many industries due to its various benefits such as tracking raw materials and manufactured products, reducing costs, etc. One of the most important factors in facilitating the implementation of Industry 4.0 is human resources. The purpose of this research is to investigate the role of human resources on the implementation of Industry 4.0 in the steel industry of Yazd. Using research literature, 13 factors related to human resources affecting the implementation of Industry 4.0 have been identified. In the following, by using the fuzzy delphi approach and selecting 17 university professors and managers of Yazd steel industry by snowball sampling and asking for their opinions, three factors of continuous learning ability, data analysis and business intelligence, and security and privacy protection weren’t confirmed. Also, based on the request of the authors of the research from the related experts, by adding factors related to the implementation of Industry 4.0, three factors of freedom of action in doing work, sufficient time to do work, and innovation and creativity were introduced. Finally, the cause-and-effect relationships between the factors were investigated using the fuzzy dematel approach. The results showed that cooperation and interaction are the most important factors for the implementation of Industry 4.0 in Yazd steel industry. Perceived usefulness and recruitment of skilled labor are known as the most effective factors, and innovation, creativity, learning, and empowerment are known as the most effective factors on the implementation of Industry 4.0.
Management approaches in the field of smart
Pegah Ghasemi Ghonchehnazi; Ali Atashsooz
Abstract
Technology-based reforms with an emphasis on digital society (especially in the public sector) have been placed on the agenda of most countries and have become a major challenge for governments. One of the most important strategic tools of organizations in this field is "digital leadership". The main ...
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Technology-based reforms with an emphasis on digital society (especially in the public sector) have been placed on the agenda of most countries and have become a major challenge for governments. One of the most important strategic tools of organizations in this field is "digital leadership". The main purpose of the current research is to explain the role of digital leadership and its impact in creating digital transformation in Telecomunication Infrastracture Company. The statistical population of this research includes experts and senior experts of the studied organization, who were selected by a judgmental method. First, the dimensions and elements of digital transformation leadership were examined, and in order to examine the components of digital transformation leadership, as well as to set research questions and create a review protocol. The guiding principles of Xiao and Watson (2017) were used. Data collection was done through a questionnaire. Cronbach's test was used to measure the reliability of the questionnaire and Kendall's coefficient was used as an index of coordination and agreement. The results showed that the constructive dimensions of the concept of digital transformation leadership have a significant impact on creating digital transformation, and among them, Leader's digital expertise and giving importance to customer experience have the most impact.
Management approaches in the field of smart
Mehrdad Mehrkam; zakieh nasimi
Abstract
Taxation is one of the vital aspects of development in countries and plays an essential role in advancing the economic progress of countries. For this reason, different countries of the world implement comprehensive plans to improve and transform their tax systems. This study was conducted with the aim ...
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Taxation is one of the vital aspects of development in countries and plays an essential role in advancing the economic progress of countries. For this reason, different countries of the world implement comprehensive plans to improve and transform their tax systems. This study was conducted with the aim of evaluating the leadership style of managers on digital transformation among senior and middle managers of the country's tax affairs organization. A random sample of 44 expert managers was selected. This study used Smart-PLS software for data analysis and was conducted in the summer of 1402. The findings of the study showed that the leadership style of the managers and the digital transformation strategy have an impact on the digital transformation of the tax organization. In other words, it was found that the digital transformation strategy significantly mediates the relationship between managers' leadership style and digital transformation, not a moderating role. In addition, the results showed that managers' leadership style and digital transformation strategy have the greatest impact on digital transformation. The obtained findings have shown that the proposed hypotheses are acceptable
Management approaches in the field of smart
Shiva sadat Ghasemi; Abbas khamseh; Seyed Javad Iranban
Abstract
In the contemporary landscape of technology-driven industries, the integration of artificial intelligence into technology scouting is imperative for enhancing innovation and sustaining competitiveness. This research aims to forge a framework for technology scouting based on artificial intelligence, with ...
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In the contemporary landscape of technology-driven industries, the integration of artificial intelligence into technology scouting is imperative for enhancing innovation and sustaining competitiveness. This research aims to forge a framework for technology scouting based on artificial intelligence, with a specific focus on technology-based companies. Employing a qualitative approach, data collection utilized the meta-synthesis method devised by Sandelowski and Barroso. This involved a systematic review of 28 articles relevant to the research goal out of a pool of 253 primary articles. The final selection of articles was based on predefined inclusion criteria. The research's validity was confirmed through adherence to criteria, team meetings, expert consultations, and an exhaustive audit for theoretical consensus, while reliability was ascertained through the Critical Evaluation Skills Programme. The framework spans five dimensions: technology scouting tools, technology life cycle, firm environment, firm's approach to the environment, and firm's absorptive capacity. The findings underscore the pivotal role of AI-based technology scouting tools, elucidate the nuanced dynamics of the technology life cycle, and reveal the multifaceted aspects of the enterprise environment. The research outlines strategic approaches for navigating the evolving technology landscape, underscoring the imperative of absorptive capacity for the effective utilization of artificial intelligence technologies. By delivering actionable insights and strategic counsel, this research serves to furnish technology-based companies with a robust underpinning for negotiating the intricate intersection of AI and technology surveillance. In doing so, it propels sustainable growth, fortifies competitive advantage, and fosters enduring innovation.
Management approaches in the field of smart
Peyman Ghafari Ashtiani; Maryam Ghiasaadi Farahani
Abstract
The current research has identified the factors affecting the management and organization of businesses based on e-commerce through a meta-combination approach. The research is applied in terms of purpose and qualitative in nature with an exploratory approach. The community of this research is the articles ...
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The current research has identified the factors affecting the management and organization of businesses based on e-commerce through a meta-combination approach. The research is applied in terms of purpose and qualitative in nature with an exploratory approach. The community of this research is the articles in the field of managing and organizing e-commerce jointly or separately. The method of collecting information is the document-library method with the efficiency of the meta-combination method for extracting factors. The sampling method is also selected based on the entry and exit criteria of the prism method. In order to answer the research questions, 96 articles were examined and analyzed, which led to the extraction of 15 categories and 95 meaningful codes. The results showed that business management based on e-commerce includes the components of online sales, digital marketing, suppliers, leadership, product or service, human resources, organizational culture, customer, market, organizational structure, and organizing business based on E-commerce includes the components of technical dimension, organizational dimension, environmental dimension, economic dimension and financial dimension.
Management approaches in the field of smart
Fahime Mahavarpour; feiz davood; Morteza Maleki MinBashRazgah
Abstract
Augmented Reality (AR) is an emerging topic for managers across different disciplines While augmented reality technology literature is growing, there is no comprehensive analysis of augmented reality technology in marketing transformation The research aims to bridge the knowledge gap by providing a multifaceted ...
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Augmented Reality (AR) is an emerging topic for managers across different disciplines While augmented reality technology literature is growing, there is no comprehensive analysis of augmented reality technology in marketing transformation The research aims to bridge the knowledge gap by providing a multifaceted bibliographic overview of augmented reality technology literature in marketing and reveal its trends, areas of focus and intellectual foundations. The study is based on 496 articles published on Web of Science between 1996 and 2023. According to the findings, the concept mainly revolves around seven main areas: human-machine interaction in future of digital marketing and Metaverse, advertising and customer response in online purchases, marketing challenges in industry 4 and new technologies, the effect of virtual technology on customer loyalty in retail, adoption of behavioral technology of Tourism customers, augmented reality technology marketing in the decision-making process of buyers and brands, and finally the richness of social media in e-commerce in Covid 19. While priorities and research topics have evolved over time, key concepts such as buying experience, shopper behavior, buying decision making, technology adoption have been repeated. The three influential schools of augmented reality technology in marketing are associated with integrated theory, planned behavior theory (TPB) and cognitive evaluation theory that have shaped the intellectual foundations of the discipline but we believe that a greater diversity of fields is needed to examine and describe augmented reality technology in marketing transformation.
Management approaches in the field of smart
Maryam Nooraei abadeh; Soheila Zarin jouy alvar; Soraya Bakhtiari bastaki
Abstract
Waterfall failures are one of the most important challenges and risks of this modern type of business, which can cause damage to other parts of the system in a chain manner and lead to the collapse of the entire system. The aim of this research is to investigate various factors related to waterfall failures ...
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Waterfall failures are one of the most important challenges and risks of this modern type of business, which can cause damage to other parts of the system in a chain manner and lead to the collapse of the entire system. The aim of this research is to investigate various factors related to waterfall failures in cloud business models and to introduce appropriate approaches for predicting, preventing and managing these types of failures. In this research, the literature review method using natural language processing was used to collect information and analyze the topic. The sources used included scientific articles in the field of information technology and business from 2015 to 2024 from IEEE Xplore, Google Scholar, and arXiv datasets, of which 23 articles were analyzed with natural language processing methods. The use of advanced NLP techniques allows for a more accurate assessment and deeper analysis of the factors associated with cascading failures. Also, rooting for errors and developing a practical roadmap for their better management allows businesses to facilitate improvement and productivity in their cloud environment and take a more sustainable path. These steps not only help to increase the quality and efficiency of cloud services, but also greatly reduce the costs and time required to fix problems. Various factors related to waterfall failures in cloud business models have been investigated in detail. These factors include technical problems, management problems and marketing problems. Also, different approaches have been introduced to predict, prevent and manage these types of failures.
Management approaches in the field of smart
Javad Nazarian-Jashnabadi; MohammadHossein Ronaghi; moslem alimohammadlu; Abolghasem Ebrahimi
Abstract
AbstractThe maturity of business intelligence is a result of the evolution and advancement of technology and management approaches that help to provide accurate information, predictive analyzes and improve decisions in organizations using advanced technologies such as artificial intelligence and data ...
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AbstractThe maturity of business intelligence is a result of the evolution and advancement of technology and management approaches that help to provide accurate information, predictive analyzes and improve decisions in organizations using advanced technologies such as artificial intelligence and data analysis. Despite technological maturity that improves the efficiency and performance of organizations over time, business intelligence is far from becoming a mainstream trend in organizations. According to numerous researches in the field of business intelligence, the aim of this research was to present the framework of factors affecting the maturity of business intelligence using a meta-composite approach. In order to reach a comprehensive framework that includes all the maturity factors of business intelligence, 221 scientific studies were reviewed. Relevant codes were extracted using content analysis in metacomposite method. The categories were leveled using the comprehensive interpretive structural modeling method and the most influential ones were determined. The findings show that a total of 93 codes were extracted and divided into 6 categories. These categories include organization and management factors, environment, technology infrastructure, human resources - knowledge, data management and data analysis. The categories of technology infrastructure, data management and data analysis were placed at level three and have the greatest impact on the maturity of business intelligence.IntroductionIn today's world, digital transformation has become one of the prominent and fundamental phenomena in the field of technology and business. This transformation has placed organizations in a process of change and evolution, significantly altering their approaches and operational methods (Hilbert, 2022). One of the concepts that has emerged as a result of these developments is business intelligence (Ragazou et al., 2023). The primary objective of business intelligence is to convert scattered, raw, and unstructured data into usable and valuable information. By integrating internal and external data and utilizing advanced analytics methods such as data mining and artificial intelligence, business intelligence facilitates more effective and precise decision-making for organizations (Sinarasri & Chariri, 2023). However, given the multifaceted nature of business intelligence, companies must operate more intelligently and strive for maturity by identifying critical factors in the successful implementation of business intelligence. This plays a crucial role in reducing the likelihood of business failures. In general, the shortage of appropriate knowledge resources for companies operating in this field, coupled with a lack of proper understanding among managers, has resulted in minimalist views on business intelligence, limiting its scope to basic services and reports.Given the extensive use of business intelligence, addressing the topic of business intelligence and its influencing factors is crucial. On the other hand, the existence of numerous domestic and international research studies in various aspects of business intelligence necessitates the creation of a comprehensive and coherent framework to connect these research efforts. Considering the current concern, the main question of this research is to provide a comprehensive and coherent framework of the factors affecting business intelligence maturity. The results of this research play a role in advancing theoretical discussions on the maturity of business intelligence and provide suitable indicators for companies seeking to optimize their use of business intelligence. The use of quantitative approaches alongside systematic review can add significant value; therefore, the "Total Interpretive Structural Modeling" (TISM) approach is used to determine the levels of concepts. The research questions are as follows:(1) What are the influential factors on business intelligence maturity?(2) What is the classification of factors affecting the maturity of business intelligence?(3) What are the most important concepts influencing business intelligence maturity?(4) Among researchers, which factors influencing business intelligence maturity are most commonly used?Literature ReviewThe concept of business intelligence maturity refers to an organizational growth stage in which organizations and businesses harness intelligent technologies and leverage their most powerful features. This stage signifies that achieving maturity in business intelligence is considered a strategic goal for organizations in the digital age. Business intelligence maturity offers several advantages, as highlighted in various studies: improved decision-making (Aparicio et al., 2023), enhanced customer satisfaction (Ramos, 2022), increased flexibility (Aparicio et al., 2023), and reduced costs and time required for work (Niazi, 2019).The research conducted in the field of business intelligence across various domains has highlighted several advantages. These include data analytics and dashboards (Sinarasri & Chariri, 2023), security and privacy (Halper & Stodder, 2014), as well as forecasting and advanced analytics (Darwiesh et al., 2022). However, it's important to note that the topics and benefits mentioned here represent only a fraction of the research conducted in the field of business intelligence maturity. Most of these studies are domain-specific, focusing on industries such as banking (Rezaei et al., 2017; Monshy, 2021; Najmi et al., 2010), insurance, small businesses (Ragazou et al., 2023; Sinarasri & Chariri, 2023), e-commerce (Ramos, 2022), the manufacturing industry (Ahmad et al., 2020), and supply chain management (Arunachalam et al., 2018).Some of these research studies have adopted a quantitative approach (Rangriz and Afshari, 2015). This type of research often focuses on the maturity of business intelligence using structural equations (Monshy, 2021; Poti et al., 2017; Khrisat et al., 2023; Golestanizadeh et al., 2023; Mbima & Tetteh, 2023) and examines the relationships between various latent variables and the maturity of business intelligence. However, these studies have not employed a systematic review approach to comprehensively explore the underlying concepts. Business intelligence encompasses diverse dimensions and extends beyond a few latent variables.Another part of the researches has dealt with the modeling of business intelligence with a qualitative method; However, their investigation has reached limited variables and does not include all aspects of business intelligence (Fallah and Kazemi, 2019; Adineh et al., 2022). On the other hand, it should be clear what level of the organization the model is for (readiness, growth, maturity and decline). Because every organization with the conditions it lives in needs a certain level of business intelligence to progress and it is not possible to prescribe the advanced use of business intelligence to a newly established organization, which has not been observed in various researches (Ahmadizad et al., 2015; Srivastava & Venkataraman, 2022).MethodologyThis study is objective in nature and employs a qualitative approach. Its aim is to identify the factors that affect the maturity of business intelligence. To achieve this, a meta-synthesis approach is used to examine existing articles in the field and extract the relevant factors. The statistical population for this research includes credible and relevant articles published until 2023. Meta-synthesis entails reviewing prior studies and reinterpreting concepts by integrating previous results. In this research, the seven-stage Sandelowski & Barroso (2003) method is employed to conduct the meta-synthesis, as it is widely recognized as the most commonly used method for meta-synthesis in recent university research studies. The seventh and final step of the meta-synthesis method involves presenting the findings. In this phase, the TISM is utilized to categorize the meta-synthesis outputs into two categories: "impactful" or "influenced." Eventually, a comprehensive framework for understanding the factors that influence the maturity of business intelligence is established by employing TISM.ResultsThe aim of this research was to provide a framework for understanding the factors that influence business intelligence maturity using a meta-synthesis approach. To develop a comprehensive framework encompassing all aspects of business intelligence maturity, 221 scientific studies were reviewed. Relevant codes were extracted through content analysis using the meta-synthesis method. The categories were stratified using the Total Interpretive Structural Modeling method, and the most influential ones were determined. The findings indicate that a total of 93 codes were extracted, which were categorized into 6 groups. These categories encompass organizational and managerial factors, the environment, technological infrastructure, Human resources - knowledge, data management, and data analysis. The categories of technological infrastructure, data management, and data analysis were placed at level three and exhibited the greatest impact on business intelligence maturity.Discussion and ConclusionThis research investigates the factors influencing the maturity of business intelligence with the aim of establishing a comprehensive framework. The results obtained through the meta-synthesis method reveal six categories crucial to business intelligence maturity. These categories are categorized using the TISM method. Technology infrastructure, data management, and data analysis are placed at the third level and exhibit the most significant impact on other levels. Human resources - knowledge and organization and management factors were placed at the second level. This level is influenced by the third level and, in turn, influences the first level. The environment is categorized at the first level.Among the factors affecting business intelligence maturity, the power of analysis, decision-making quality, and quick and easy access to data exhibit the highest recurrence rate in previous research. The ability to analyze data accurately and with a focus on data-centricity extracts comprehensive insights from the data (Lilly & Renjberfred, 2018), enabling precise predictions of trends, patterns, and behaviors both within and outside the organization (Hernández-Julio et al., 2021). The power of analysis empowers organizations to make strategic decisions based on accurate and reliable information and data (Batra, 2022). Most researchers assert that the quality of decision-making is one of the key advantages of implementing business intelligence in organizations (Fu et al., 2022). Regarding the aspect of fast and easy data access, scholars argue that it is a prerequisite for achieving business intelligence maturity (Sinarasri & Chariri, 2023).
Management approaches in the field of smart
vahid sharifi; Gholamreza hashemzadeh Khorasgani; Seyed Alireza Derakhshan; Ashraf Shahmansouri; Abotorab Alirezaee
Abstract
AbstractIn recent years, studies on the paradigm of social Manufacturing and its applications have been developed as a new production paradigm and have led to the production of diverse and scattered knowledge in this field. Knowing the sub-fields, new topics and the research process of the social production ...
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AbstractIn recent years, studies on the paradigm of social Manufacturing and its applications have been developed as a new production paradigm and have led to the production of diverse and scattered knowledge in this field. Knowing the sub-fields, new topics and the research process of the social production paradigm can be of great help to researchers in this field. The current research has been carried out with the aim of identifying and categorizing research in the field of social Manufacturing, recognizing sub-fields and achieving a coherent view of its research process.This research has investigated the research field of social Manufacturing using bibliometric analysis. The data of this research was collected from 200 articles of the Scopus database and an analysis of the co-occurrence analysis of key words and bibliographic pairs was performed on them, and in this way the sub-fields and the research process of this field were identified.Based on the findings of this study, the research in the field of social Manufacturing has been categorized into 5 clusters and it has also been determined that in recent years, topics such as cloud computing, smart production, blockchain, Internet of Things, social physical cyber systems, innovation systems, society 5.0 and Digital twins have received more attention in research in this field. This research provides a framework of concepts and main topics of interest in the research field of social production, which provides a comprehensive perspective for researchers in this field that can help in choosing their research path.1.IntroductionThe paradigm of social manufacturing can provide suitable solutions for problems of traditional manufacturing such as (non-demand production, high cost production, non-creative production, etc.), However, considering the freshness of this paradigm and the partial studies around it, currently, there is no clear understanding of it in the manufacturing. the present research has been done for manufacturers, organizations and manufacturing companies in case of confronting the market changes so that they can take safe steps to face environmental changes. The main problem is the lack of recognizing theparameters that should be taken into account in order to use all the possible capabilities of social manufacturing. However, no specific research has been done in this field so far. In fact, this research seeks out to answer the following questions:What are the main areas of social manufacturing?What are new topics and emerging trends associated with research in the field of social manufacturing? Literature Reviewever since the last ten years now, researchers have given attention to the concept of social manufacturing. Many researchers have studied the technology and applications of social manufacturing (Pingyu Jiang & Ding, 2012). Similarly, an organizational communication network model has been developed by some based on the social manufacturing. (P. Jiang et al., 2015) in a research, Hamalainen and his colleagues have proposed the basic characteristics of social manufacturing as well (Hamalainen, 2018) also Shang and his colleagues, have designed a social manufacturing model for producing shoes and clothes. (Xiong, Helo, 2022).Correspondingly, Xiang and colleagues (2022) in an investigation have explored the key factors of the transition from mass production to social manufacturing. The outcome of this research is that expanding the concept of Internet of Things, deploying multiple sensors and the usage of data mining with the purpose of managing production data with a large volume, variety and speed in the physical system, will lead to the continuous growth of the industry of manufacturing.3.Methodologythe present research seeks out to identify the playing field of social manufacturing, its subfields and research trends by examining 200 articles from the Scopus database using bibliometric analysis. "VOS Viewer" software is used for bibliometric as well. the software has been using for providing bibliometric maps, visualization of the coinciding of keywords, citation, analysis of bibliographic pairs, co-citation map and other things, through distance-based maps. In order to analyze the new topics, two different parts have been used. the first part is the usage of a cover map and the second part is the analysis of the average lifetime of words. Building a cover map is one of the methods to identify the changes in scientific fields and examine their developments. Cover maps are things that are the outcome of combining two maps with each other. For instance, we use these maps when we need to display the role of time on a science map (Mousavi and colleagues, 1400, quoted by Rafols et al., 2010).4.ResultsBased on the result of the clustering of the keywords co-occurrence map (Figure 5), the five identified research clusters are as follow:Cluster 1: This cluster deals with social manufacturing and correlated technologies such as 3D printing, 3D modeling, social sensors, social cyber-physical systems, RFID and social computing. This indicates that research efforts are dedicated to explaine the infrastructure technologies of social manufacturing.Considering the average publication year of 7/2016 for keywords in the cluster, these topics are more developed in social manufacturing than the others.Cluster 2: The researches of the second cluster are associated with industry 4 and various new production methods with social manufacturing.Industry 4 is a concept which attempts industries become smart, dynamic and flexible. This industry seeks to overcome new challenges such as global competition, market fluctuations, development of customization, establishment of innovation and product life cycle management (Ostadi and Nasiri, 1401). Cloud manufacturing, intelligent manufacturing, digital manufacturing, crowdsourcing, outsourcing, and mass customization. As revealed in figure 5, the most frequent words of this cluster are: industry 4, crowdsourcing and cloud manufacturing, which include a significant number of associated researches with social manufacturing. The age of the keywords in this cluster illustrates the consideration to industry 4 in social manufacturing initiated roughly from 2014 and then the cluster has been inclined towards crowdsourcing and mass customization with an average of 2016.5.Cluster 3: As illustrated in figure 5, a significant number of researches connected with social manufacturing have been carried out in applying new technologies. the most frequent keywords of this cluster include: Internet of Things, cloud computing, deep learning, big data, blockchain, 5thG internet and digital twin.The average year of publishing the keywords of the field is 7/2018, which indicates the researches, especially Blockchain and Internet of Things, can be considered as a research field which has been recently examined.Cluster 4: Researches of this cluster refers to the effect of consumer demand and participation. keywords such as manufacturing platforms, personalized production, personalized products, social media, and the role of the consumer are among the keywords of this cluster.Cluster5: Social sustainability is one of the notions connected with sustainable development, which was counted in the developing programs of different countries from the 1960s onwards. nevertheless, due to the lack of consensus on its components and its place among other apparatuses, it has been treated in many different ways practically.Social sustainability refers to the capability of a society to preserve the necessary means of producing wealth, prosperity and social contribution in order to expand integration and cohesion. As a concept, it also seeks to preserve the social and cultural components of an integrated society with the environmental and economic dimensions. the role of social sustainability is precisely significant in sustainable development (Vaezzadeh and others, 2015). ConclusionThe present study identifies five research clusters as follow:Social manufacturing and its infrastructural technologiesResearches correlated with the connection between new methods of production and industry 4 with social manufacturingResearches related to new technologies such as blockchain and Internet of Things with social manufacturingResearch connected to the concepts of consumer participation in manufacturing (the role of supply and demand) such as mass customization and crowdsourcingStudies in social sustainability, sustainable development, collaborative economy and the fifth generation of societyMoreover, by means of a cover map the present research has achieved the newest topics in social manufacturing such as cloud computing, intelligent production, social computing, blockchain, Internet of Things, cyber- physical social systems, innovative systems, digital twins, the fifth generation of society, and machine learning by using the analysis of the average life of words.discoveries of the present research will help manufacturers and manufacturing companies, to know the emerging areas and components of social manufacturing, and equipped in case of changes and use all the capabilities of social manufacturing. what's more, the analysis of keywords identifies the intellectual bases of discourse in social manufacturing. Furthermore, the findings of bibliographic pair analysis identify influential articles in this field as well, so that researchers can benefit from them as the theoretical foundations of this field.
