parisa mousavi; Alireza Salehan; Reza Yousefi Zenouza
Abstract
Over the last years, extensive research has been done in the field of blockchain technology and there are a growing number of areas to which blockchain is being applied, creating broad knowledge in this field. Classifying the subfields and identifying new topics and research trends in the area of blockchain ...
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Over the last years, extensive research has been done in the field of blockchain technology and there are a growing number of areas to which blockchain is being applied, creating broad knowledge in this field. Classifying the subfields and identifying new topics and research trends in the area of blockchain would be of significant help to researchers. The present study aims to review and categorize studies on blockchain technology, identify subfields, and achieve a coherent view of its research process. using bibliometric analyses. The data used in this research has been collected from 423 articles in the Scopus database. Then, the bibliographic coupling analysis and keyword co-occurrence have been performed.According to the findings of this study, researches on blockchain technology are divided into 5 clusters: 1. Computer systems, 2. Financial sciences, 3. Smart contracts, 4. Data management and authentication, and 5. Electronic cash. In recent years, topics such as machine learning, trust, deep learning, risk assessment, edge computing, Ethereum, and consensus have drawn the attention of the research community. This research provides a comprehensive classification of the main concepts and topics discussed in blockchain-related research, designated to help researchers in this field choose a line of research.
Ziba Faraji Moghadam; Amir Afsar
Volume 1, Issue 4 , September 2014, , Pages 131-156
Abstract
Today, many provider organizations to survive and surpass other competitors inthe world to compete. The new techniques and tools to identify and prioritize themost important metrics are used to obtain the customer's consent. Banks, as aservice provider organizations are no exception. Quality key role ...
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Today, many provider organizations to survive and surpass other competitors inthe world to compete. The new techniques and tools to identify and prioritize themost important metrics are used to obtain the customer's consent. Banks, as aservice provider organizations are no exception. Quality key role in the bankingindustry and customer satisfaction Arzayt and as one of the objectives in thisarea are considered to be basic. Knowledge of customer needs and requirementsto provide satisfactory services to our clients to facilitate them - slow. Can besaid to have a better understanding, identification and prioritization of keycustomer requirements for bank executives in the banking industry will beconsidered. Expansion of electronic communication and access to the worldwideweb a lot of people in the world, suitable for the establishment of trade andeconomic interaction is provided. This increases competition in the bankingindustry and has been providing electronic banking. Purpose of this studymethods of integrating Quality Function Deployment (QFD), Kano model andfuzzy analytic hierarchy process (FAHP) is. In this study a new method to detectand analyze customer needs, priorities bank offers. The results show that thepriority banking customers before and after the integration of the Kano model inthe planning matrix of quality home is different
Jamshid salehisadegheiani; Samaneh Sorournejad; Reza Ebrahimi Atani; Maryam Akhavan Kharazian; Mousa Rezvani Chamazamin
Volume 1, Issue 2 , December 2013, , Pages 147-162
Abstract
In recent years, a number of new payment solutions have been introduced in mobile commerce although with less success. The existence of standardized and widely accepted mobile payment (also known as MP) procedures is crucial for successful business-to-customer mobile commerce. On the other hand, Non-acceptance ...
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In recent years, a number of new payment solutions have been introduced in mobile commerce although with less success. The existence of standardized and widely accepted mobile payment (also known as MP) procedures is crucial for successful business-to-customer mobile commerce. On the other hand, Non-acceptance of innovations has generally been attributed to the failure of laggards to keep up with the time. While our previous survey has investigated positive adoption decisions, this paper focuses on consumer resistance against innovation instead. In this paper we examine the conditions of resistance to the MP procedures by Iranian customers. In fact we attempts to discover causes that force an Iranian customer in particular to resist to innovation such as mobile payment. Based on the theory of innovation resistance and the mobile payment literature, we designed a questionnaire which is distributed amongst our understudy society of Ordinary Iranians. We employed data mining techniques in order to extract useful patterns from data, which describe the reasons of that refusal associated with different social and cultural levels of the society.
Masoumeh Amani; Amir Ashrafi; Hamid Dehghanan
Abstract
In recent decades, in line with increasing environmental risks and related human concerns, the concept of green supply chain has been introduced as a modern approach to reduce the environmental impact of organizational products by researchers. During recent years, public policy has led organizations ...
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In recent decades, in line with increasing environmental risks and related human concerns, the concept of green supply chain has been introduced as a modern approach to reduce the environmental impact of organizational products by researchers. During recent years, public policy has led organizations to accept such concept. However, several obstacles have existed in the way of accepting green supply chain that should be removed. This study is an attempt to identify the main obstacles to the adoption of green supply chain and assess the impact and effectiveness of each of these obstacles on the entire system. In this regard, 18 factors were firstly identified as the main obstacles for green supply chain adoption. Statistical population of this study are 8 experts and professionals in Food Industry who are completely familiar with green supply chain. We have used fuzzy DEMATEL technique in order to assess causal relationship and also classify identified obstacles into two groups of cause and effect. The results indicate that the teaching staff and the support and participation of senior management play a vital role in the adoption of green supply chain.
Negarsadat Mesbahi Jahromi ; Vahidreza Mirabi; Serajeddin Mohebbi ; Mehdi Bagheri
Abstract
The share of social commerce in Iran is relatively small compared to the developed countries in the field of social commerce. So, it important to identify factors which are critical in the implementation of social commerce. The main purpose of this research is to identify legal and behavioral gaps on ...
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The share of social commerce in Iran is relatively small compared to the developed countries in the field of social commerce. So, it important to identify factors which are critical in the implementation of social commerce. The main purpose of this research is to identify legal and behavioral gaps on the implementation of social commerce among the startups. The statistical population in the qualitative section consists of social commerce experts in knowledge-based companies in the field of information technology in the science and technology park of Tehran University. Experts were identified using snowball and judgmental sampling techniques. According to the adequacy of data, 20 interviews were performed in total. The statistical population in the quantitative section consisted of the managers of startup companies located in Tehran. Two-step sampling method was used to determine the sample size. Data in qualitative section were collected through deep interviews and in the quantitative section it was collected through questionnaires. Data was analyzed using SmartPLS2 software in quantitative section. The results show that changes in business environment is as causal conditions. The pivotal phenomenon including: the implementation of social commerce, the contextual conditions including the business cultures and legal gaps, the interfering conditions including the behavioral gaps, and business resource conditions, and strategies including the reliability of online markets and the development of technical infrastructure have been identified. Ultimately, the consequences of this study have been enhancing business ease and improving sales performance.
Mohammad Reza Taghva; Ebrahim Rajabpour; Sara Babaahmadi
Volume 1, Issue 3 , June 2014, , Pages 165-188
Abstract
Web-based e-learning is not restricted by time or place and can provideteachers with a learning environment that is flexible and convenient, enablingthem to efficiently learn, quickly develop their professional expertise,and advance professionally. This study aims has been evaluate the acceptanceof using ...
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Web-based e-learning is not restricted by time or place and can provideteachers with a learning environment that is flexible and convenient, enablingthem to efficiently learn, quickly develop their professional expertise,and advance professionally. This study aims has been evaluate the acceptanceof using web-based e-learning systems for in-service education of employeesin Jihad agriculture of Bushehr. In order to, We distributed questionnairesto 190 employees in Jihad agriculture of Bushehr. This study usedthe Technology Acceptance Model (TAM) as our theoretical foundation andemployed the Structure Equation Model (SEM) to examine factors that influencedintentions to use in-service training conducted through web-basede-learning. The results showed that Internet self-efficacy were significantlypositively associated with behavioral intentions regarding the use of webbasede-learning for in-service training through the factors of perceived usefulnessand perceived ease of use. The factor of motivation to use had asignificantly negative effect on behavioral intentions through the factor ofperceived ease of use. Perceived usefulness and perceived ease of use werethe primary reasons for the acceptance of web-based e-learning systems forin-service training
Mohammad Saleh Torkestani; Zohreh Dehdashti Shahrokh; Iman Raeesi Vanan; Fatemeh Golshan
Abstract
Providing valuable information in the form of attractive content and interaction with customers is one of the most important elements of content marketing. The most important factor in the success of content marketing is answering to the question of what causes the audience to engage in content. Despite ...
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Providing valuable information in the form of attractive content and interaction with customers is one of the most important elements of content marketing. The most important factor in the success of content marketing is answering to the question of what causes the audience to engage in content. Despite numerous researches in the field of identifying the dimensions of engagement and motivators of audiences to engage with content, the audience engagement is still one of the most important concerns of actors in the field of content marketing and they are looking for effective ways to identify factors affecting the promotion of audiences' engagement. The present study, using Meta - synthesis method based on the Sandelowski and Barros (2007) model, identifies influential indicators of content marketing on promoting the audience engagement. For this purpose, studies according to years 2003 – 2019 were collected and the papers that did not obtain the intended criteria were excluded from the study. Finally, the findings of 45 papers were selected. By classification of identified codes, 23 categories were identified in 4 dimensions including engagement, categories related to content features, categories related to content writer and other user's reactions. Among all identified categories, the possibility of content personalization for each audience, the sentiment embedded in content and the history of content, the membership level of writer and his/her identity in the online community made the highest priority.
Ghanbar Abbaspour
Abstract
Nowadays due to technological progress and increasing prosperity of IT organizations that offer services based IT more than ever have been considered. However, due to competition in the IT sector, those organizations face many challenges to maintain their position. The main purpose of this study ...
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Nowadays due to technological progress and increasing prosperity of IT organizations that offer services based IT more than ever have been considered. However, due to competition in the IT sector, those organizations face many challenges to maintain their position. The main purpose of this study is ranking Information Technology (IT) Enablers in Telecommunication Infrastructure Company of Tehran Province. Review of the literature enabling factors were identified after screening. The purpose of this research is applied and descriptive survey and the statistical population are 8 experts. Which have full masterity on the subject of research. Data analysis method is F-DEMATEL that Analysis of the data shows that resources factor has been more important in terms of influence and priority shall be included in the best conditions.
Salma Keshavarzian; Hoorieh Barardokht
Abstract
In this study, focusing on the subject of the study, the site of Tebyan Institute of Cultural and Information Science has been carefully analyzed using subject clustering. Using clustering and text mining, while identifying outstanding and insignificant clusters, the importance of this issue among ...
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In this study, focusing on the subject of the study, the site of Tebyan Institute of Cultural and Information Science has been carefully analyzed using subject clustering. Using clustering and text mining, while identifying outstanding and insignificant clusters, the importance of this issue among the users of Tebyan network has been discussed. The results indicate that due to the cultural and information nature of Tebyan social network, searching the reading and study keywords will provide most relevant results in thematic category of culture with 26% and 18%, respectively. Due to the virtual and electronic nature of Tobayan network, it is necessary that the electronic education section of this site cover the shortage by generating more educational contents. Despite the high number of results in the thematic category of society, the results in the whole network seems to be very low for reading (only 952 and 1199, respectively, in the search for key terms of reading and study), and this requires more planning for promoting the importance and value of reading issues in the society by Tebyan. The international community brings modern technology to the society in the light of new developments and in the meanwhile, if anyone is left behind in the knowledge of the day, he has no opportunity to compensate for the lost resources; therefore, (s)he should be deeply thought-out and broadly planned for the importance and value of people to read, study and promote, even on social networks.
Mojtaba Ahmadi
Abstract
In this study, social dimensions of obstacles to achieve alignment in IT and business have been identified through a case study in the Post Bank of Iran. The data have been collected through conducting 10 interviews with experts in both fields of IT and business as well as reviewing some internal documents ...
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In this study, social dimensions of obstacles to achieve alignment in IT and business have been identified through a case study in the Post Bank of Iran. The data have been collected through conducting 10 interviews with experts in both fields of IT and business as well as reviewing some internal documents of the bank. In this study, 20 of the main obstacles and problems of achieving alignment were identified. The findings of the study showed that “lack of joint strategic planning”, “organizational units’ inappropriate understanding about each other”, “unsuitable administrative structure of the bank”, “lack of a strong Organization and Methods office”, “lack of precise definition of tasks and roles in projects”, and “limited cooperation and lack of mutual support in achieving alignment between IT and business” are among the main obstacles to achieve alignment. Understanding these obstacles, while providing background for future studies on achieving alignment considering its social dimensions for researchers, helps organizations make effective efforts to bring about an alignment between IT and business by identifying these obstacles
Alireza Ghanada; Abouzar Arabsorkhi; Samaneh Rabbani
Abstract
Purpose of this study is to provide a trust model in E-banking in Iran. Concentrating on trust and presenting a trust model are since innovative side of this study. So, first the existing trust models in e-commerce and e-banking have been studied.The proposed model has seven main parts and eight ...
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Purpose of this study is to provide a trust model in E-banking in Iran. Concentrating on trust and presenting a trust model are since innovative side of this study. So, first the existing trust models in e-commerce and e-banking have been studied.The proposed model has seven main parts and eight theories. This model has been tested with electronic questionnaire on the sample of 227 people, including E-banking users. To analyze the data and determine the relationship between variables, Confirmatory factor analysis and PLS software is used. Data analysis in two parts. In The measurement part, technical characteristics of questionnaire including reliability, convergent validity and divergent were examined. In The structure part, structural Coefficients of model have been examined for evaluating hypotheses of study. After the studies, three theories have been rejected from the total of eight and the remaining theories have been accepted. The rejected theories include the relationship between perceive privacy, propensity to trust and perceived competency with trust. P
Ghasem Bakhshandeh; Samira Ghashghayi
Abstract
With the growth of e-commerce and numerous online businesses, more attention has been paid to the behavior of women who are an important part of consumers in this field. The purpose of the present study is to explore the influential factors on the intention of women to purchase clothing from online ...
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With the growth of e-commerce and numerous online businesses, more attention has been paid to the behavior of women who are an important part of consumers in this field. The purpose of the present study is to explore the influential factors on the intention of women to purchase clothing from online stores. In this regard, data were collected from 400 women in Khuzestan province using a questionnaire through convenience sampling. The conceptual model of the research was tested by structural equation modeling using SmartPLS3 software. The results revealed that the impacts of habitual online usage, subjective norm, and attitude toward online purchase were positive and significant on the intention to purchase online. In addition, the impact of perceived benefits on the intention to purchase online was also positive and significant. Furthermore, the results obtained from the Sobel test also revealed that attitude toward online purchase plays a mediating role between the perceived benefits and online purchase intention.
Zahra Shirani; Amir Jalaly Bidgoly
Abstract
In recent years, the number of users of social networks has grown significantly. The big challenge for these networks’ audience is How to communicate with the people present on these networks. Friend recommender systems try to fix this challenge by offering suggestions. In this study, data from ...
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In recent years, the number of users of social networks has grown significantly. The big challenge for these networks’ audience is How to communicate with the people present on these networks. Friend recommender systems try to fix this challenge by offering suggestions. In this study, data from the social and scientific network of Kousarent were used. In this research, using 10 types of relationships between users without considering the friendship relationships, network graph created, and then by using 3 algorithms Louvain, Kmeans and Hierarchical graph clustering was performed to identify communities. Clusters obtained from Louvain's clustering algorithm had higher percentages of matching with friendships. Then, weights were calculated by genetic algorithm for each of 10 relationships and by applying Louvain clustering algorithm on the network graph, the highest percentage of matching with the optimal weight of each of the 10 relationships was obtained. In this case, the resulting clusters are optimal clusters containing the most similar users. So other users in the same cluster can be suggested as friends. The weight of the edges between the individuals in the graph was also used to prioritize the bids. At the end, the friend proposed method was evaluated and the percentage of suggested friends matched with the individual's true friends was calculated.
Fateme Rahimi; mohammad vahid sebt; nasim ghanbar tehrani
Abstract
In today's competitive world, applying new techniques to business development has a great impact. The restaurant industry is no exception. Therefore, in this research, using new methods of knowledge discovery and data mining, customer data of chain restaurant is investigated. The purpose of this study ...
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In today's competitive world, applying new techniques to business development has a great impact. The restaurant industry is no exception. Therefore, in this research, using new methods of knowledge discovery and data mining, customer data of chain restaurant is investigated. The purpose of this study was to explore customer behavior patterns using data mining methods.In this study, one million and five hundred thousand customer records were reviewed in five branches of a chain restaurant and two stages of clustering modeling using RFM method and then classification modeling were performed on the data and the behavior rules chain restaurant customers were extracted. The results of this study have helped to identify the loyal and profitable customers of the chain restaurant which has led to the improvement of the profitability of the chain restaurant. One of the innovations of this research has been the communication between clustering and classification results.
Shirin Karbasi; GholamReza. Hashemzadeh Khorasgani; Abbas Khamseh; Kiamars Fathi Hafshjani
Abstract
Today, Industry 4.0 has led to increased productivity in manufacturing organizations with technological advances in the form of intelligence and digitalization. From a strategic and technological point of view, Industry 4.0 technology roadmap, in addition to aligning the main strategies of the organization ...
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Today, Industry 4.0 has led to increased productivity in manufacturing organizations with technological advances in the form of intelligence and digitalization. From a strategic and technological point of view, Industry 4.0 technology roadmap, in addition to aligning the main strategies of the organization with technology programs, has led manufacturing organizations to intelligent production systems and the possibility of using intelligent and digital technologies such as: big data, IoT, Cloud computing, and provides robots for them. The purpose of this study is to present a model of industry 4.0 technology roadmap in power plant equipment and energy supply industries. In this research, by studying the subject literature, interviews and using structural equation modeling tools, 46 index in the form of 14 components in 6 dimensions (drivers, market, product, technology, research
reza ameri siyahooei; mostafa kazemi; Omid soleimani fard; Alireza Pooya
Abstract
One of the most important factors in understanding customer behavior is identifying their expectations. Therefore, this study in order to design customer expectations model for platform with agent-based model approach. At first, for finding customers and servants expectations was used of semi-structure ...
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One of the most important factors in understanding customer behavior is identifying their expectations. Therefore, this study in order to design customer expectations model for platform with agent-based model approach. At first, for finding customers and servants expectations was used of semi-structure interview and then was done automatic clustering with using meta-heuristic algorithms in order to find different factors. Then, with the factor-based simulation approach, the model was designed in Any Logic software. After designing the model, using design method of Taguchi experiments (Qualitek-4 software), scenarios for the growth and development of the platform based on effective factors (liquidity the quality of communication and trust) designed on four levels and finally simulation was performed and scenarios were examined in the simulation environment. the research results showed that the appropriate level of platform growth and development indicators in the fourth level of liquidity, the fourth level of communication quality and the fourth level of trust. In addition, after implementing the optimal scenario in the simulation environment was determined that the percentage of value created on the Instagram platform due to the implementation of the desired scenario is equal to 0.934.
Management approaches in the field of smart
Amir Valafar; Morteza Maleki MinBashRazgah; Azim Zarei; feiz davood
Abstract
AbstractBlockchain technology is one of the most promising technologies of this century that has the potential to bring about fundamental changes in business models in a wide range of industries. The current research seeks to identify the antecedents of the development of digital marketing ...
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AbstractBlockchain technology is one of the most promising technologies of this century that has the potential to bring about fundamental changes in business models in a wide range of industries. The current research seeks to identify the antecedents of the development of digital marketing based on blockchain technology from the point of view of marketing experts in the aviation industry.This research is practical in terms of orientation and positivist from a philosophical point of view, which was carried out using a mixed method.,In this study, the antecedents of the development of digital marketing based on blockchain technology were first extracted by literature review and semi-structured interviews, and with the help of experts, the final factors were identified;Then, these factors in the form of Q cards were provided to 22 marketing experts in the aviation industry who were selected purposefully and finally their views were analyzed using exploratory factor analysis.The participants in this research have 6 different views and their mental patterns are categorized based on market variables, internal, content, technological, human and environmental factors.The results of this research have given useful insight to managers and decision makers in the aviation industry, so that by knowing these factors, they can strengthen and develop digital marketing in airline companies.IntroductionThe transformation arising from the fourth industrial revolution is based on the integration of digital technologies. This transformation is effective in all dimensions of business activities and causes fundamental changes in the way organizations function and provide value to consumers. Blockchain technology is one of the most promising technologies of this century that has the potential to bring about fundamental changes in business models in a wide range of industries. In the current competitive environment, marketing managers know that forming and maintaining relationships in the digital space is essential(Hussain Zahid,2021). The benefits of digital marketing in the aviation industry include making the user more active, providing rich content to the customer, providing airport services to the customer digitally, increasing the speed and convenience of transactions, increasing customer satisfaction, reducing workload and increasing the utilization of airlines(Keke, 2022).Today, blockchain has strongly influenced business models(Jain et al,2022)Blockchain has also changed the way digital marketing works(Nilsson&Ali,2018). The most important requirements in the aviation industry are high data security, protection against unauthorized access and privacy. Blockchain technology can help digitize the aviation industry and create new business models(Kehoe&Hallahan,2017). One of the capabilities of blockchain technology is providing a customer loyalty program. Blockchain technology can help passengers to buy tickets using digital currency and eliminate the chance of selling and buying duplicate tickets) Ahmad et al, 2021 (. Blockchain creates complete transparency and brand traceability in digital marketing (Stone&Woodcock,2014). The purpose of this study is to identify and classify the antecedents of the development of digital marketing based on blockchain technology from the point of view of airline marketing experts. Literature ReviewMarketing is a social and managerial process through which people and organizations get what they need by creating and exchanging value with others) Kotler et al,2017(Many companies invest in digital marketing as a factor in the development and sustainability of future business(Al-bawaia,2022). Blockchain is a peer-to-peer digital ledger of transactions that may exist publicly or privately between users(Rennock et al,2018). Blockchain features are decentralization, immutability, transparency and auditability of transactions(Monrat et al,2019). Due to the need to develop air transportation in the country, 18 airlines are engaged in air transportation activities. The airline industry is part of a highly interconnected ecosystem of various players including aircraft and aircraft component manufacturers, lessors, airports, freight forwarders, global distribution system providers and online travel agencies. Airlines are at the heart of this ecosystem. Today, the airline industry must include the use of modern technologies in its plan to provide better services to passengers(Riechmann,2020) MethodologyThe current research seeks to identify the antecedents of the development of digital marketing based on blockchain technology from the perspective of marketing experts in the aviation industry, which was conducted in a combined method, in this research, first by reviewing the literature and semi-structured interviews, the factors affecting the development of digital marketing based on blockchain technology China was extracted and finalized with the help of experts. Then these factors were given to 22 aviation industry marketing experts in the form of Q cards. These people were selected purposefully and finally their opinions were analyzed using exploratory factor analysis. ResultsThe participants in this research have 6 different views and their mental patterns are categorized based on market variables, internal, content, technological, human and environmental factors. According to the views of the participants, 6 identified mental patterns explain 75.194% of the total variance. The first mental pattern is 19.283%, the second mental pattern is 13.459%, the third mental pattern is 11.585%, the fourth mental pattern is 11.375%, the fifth pattern is 10.080% and the sixth pattern is 9.142%.Discussion and ConclusionInvestigations show that no such research has been done in this organization and similar organizations. The results were also compared with previous researches. Although the method used in this research has not been used in previous researches; But some of the results obtained are similar to the researches (Lopes et al, 2021), (Antoniadis et al, 2019) and(Hosseinpouli Mamaghani et al, 2021) and the effect of variables The development of digital marketing based on blockchain technology is confirmed in this research. Market variable, existing competition, competitors' strategy and increasing demand in digital marketing in the aviation industry have been the most important from the point of view of marketing experts in the aviation industry. It seems that the focus on market factors is due to the fierce competition between airlines, which shows that managers in this industry should pay more attention to these categories. The results of this research can help decision makers and policy makers in adopting a suitable strategy for the development of digital marketing and strengthen digital marketing in airlines.
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
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. The findings of the research can have important results for marketers and activists in the field of advertising and sales. Among the consequences of the application of artificial intelligence and machine learning, we can mention things such as understanding, recognizing and revealing consumer needs and desires, classifying target advertisements, intelligent evolution of commercial advertisements, innovation in sales, development of sales channels, and optimization of the fields of using artificial intelligence in advertising agencies Keywords:: artificial intelligence, machine learning, big data, advertising and salesIntroductionMost of the research on the use of artificial intelligence and machine learning in advertising and sales has been done in the last four years. The gap between AI research, the application of AI and machine learning in advertising and sales is still significant. Theoretical findings still need to be supported by real tools and software solutions. In the academic context, most researchers either focus on describing one or two of the newest solutions available on the market or mention very generalized application areas and focus on AI as a phenomenon and the main object of study. There is little research on the results of the general implementation of artificial intelligence in advertising and sales and the results of the implementation of specific artificial intelligence tools. Studies have been conducted on the applications and challenges of the application of artificial intelligence and machine learning in marketing, international marketing and marketing strategies. The innovation of the current study is that despite the exponential development of artificial intelligence and related technologies, its emerging application in various production environments, none of the previous studies have addressed the consequences and results of the application of artificial intelligence and machine learning in a qualitative manner in advertising and sales; Therefore, to cover the issues raised above, we intend to answer the following research question. What areas of artificial intelligence and machine learning are used in advertising and sales? What are the existing solutions based on artificial intelligence and related technologies such as machine learning in the field of advertising and sales development and optimization? Literature ReviewArtificial intelligence is a computer science technology that teaches computers to understand and imitate human communication and behavior. Today, around the world, artificial intelligence has become a hot topic in many sciences and public discussions in society; Because it seems to expand and challenge human cognitive capacity. It is obvious that artificial intelligence will become an integral part of every business organization worldwide in the long run. One of the definitions of artificial intelligence is to teach computers to learn, reason and adapt (Bardo Eritav et al., 2020). Artificial intelligence is supposed to simulate human intelligence in order to support or even expand human abilities (Ote, 2019). In other definitions, the possession of machines with rational and human thinking and action has been emphasized (Berry Hill et al., 2019; Zahouri et al. Moghadam, 2020). Machine learning (ML) is a process that uses observations or data, such as direct experience or instruction, to recognize patterns in data without human intervention, allowing you to make better decisions in the future. The goal of ML is to enable computers to learn automatically "on their own," without human intervention or assistance, so that systems can adjust their actions accordingly. Today, most AI applications use ML in marketing activities, from personalizing product offers to helping discover the most successful advertising channels, estimating churn rates or customer lifetime value, and creating superior customer groups (Tiwari et al., 2021; Shissel et al., 2020). Compared to traditional advertising production, artificial intelligence technology has increased the effectiveness of advertising production and marketing, and has made brand marketing more humane, accurate and effective, and has improved the effectiveness of advertising communications and information call rates. Advertising production using artificial intelligence technology can categorize, combine information sources, quickly generate new ideas, and implement intelligent marketing (Deng et al., 2019). MethodologyThis 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 tools of data collection in the qualitative part of the library review were articles and semi-structured interviews with 18 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. The method of data analysis in the qualitative section, using theme analysis, which was compiled with MAXQDA software and using the coding method. In the quantitative part, purposeful sampling with 35 digital marketing experts and information gathering through a questionnaire, the analysis method was based on Kendall's correlation test. ResultsAccording 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. The findings of the research can have important results for marketers and activists in the field of advertising and sales. Among the consequences of the application of artificial intelligence and machine learning, we can mention things such as understanding, recognizing and revealing consumer needs and desires, classifying target advertisements, intelligent evolution of commercial advertisements, innovation in sales, development of sales channels and optimization of the fields of using artificial intelligence in advertising agencies. Discussion and ConclusionThe rapid development of modern technology, especially artificial intelligence, has led to the creation of powerful solutions to take advertising and sales to a whole new level. With the increased use of social media and the Internet, the amount of data available on customer behavior and customer communication is immense. Although research on the use of artificial intelligence and related technologies is still limited due to the novelty of the topic, this paper reviews existing research on innovation, the use of social media with AI, machine learning, and big data capabilities to provide opportunities to increase advertising effectiveness and Sales have been linked. Using artificial intelligence, it is possible to gain a clearer view of consumer behavior on social media that leads to brand preferences. Artificial intelligence-based systems that work in digital marketing environments focus on machine learning and big data techniques and use data-driven marketing strategies to guide and collect customer knowledge data and evaluate activity performance; Therefore, by using systems based on artificial intelligence and machine learning, facilitate decision-making processes, understanding user behavior and responses, innovation strategies, sales forecasting, understanding social network strategies, customer orientation and optimization of activities and strategic advertising planning in digital environments.Advertising and sales systems based on artificial intelligence can add value to the business, as well as turn the application of artificial intelligence and machine learning in advertising and sales into a sustainable strategy that can guide the steps a company takes to succeed in its marketing strategies, such as content analysis and optimization. social; performance analysis and media selection; Budget analysis and optimization; Identifying and evaluating target groups; Predicting reactions; monitoring the competition, it needs to realize; Therefore, the application and new uses of advertising and sales system based on artificial intelligence seem necessary for companies
Leila Samimi-Dehkordi; Abbas Horri
Abstract
In the last few years, we have witnessed a significant growth of "low-code development platforms" (LCDPs) in attracting the attention of both the market and the academia. LCDPs are visual development platforms that typically run on the cloud, reducing the need for manual coding. They are also used by ...
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In the last few years, we have witnessed a significant growth of "low-code development platforms" (LCDPs) in attracting the attention of both the market and the academia. LCDPs are visual development platforms that typically run on the cloud, reducing the need for manual coding. They are also used by non-professional developers with limited knowledge in programming to construct applications. In this paper, the characteristics of well-known LCDPs are first studied to evaluate the advantages of this approach. Given that the low-code platforms have many goals and features in common with the model-driven engineering (MDE) approaches, it is necessary to examine the position of these platforms in comparison with the MDE approaches and identify the strengths and weaknesses of both. One of the reasons for the popularity of the LCDP platforms is the use of cloud computing, which most model-driven engineering approaches have failed to achieve. Therefore, in this article, we review the solutions for using cloud computing in MDE to apply these approaches to develop low-code platforms and apply the approach on a modeling language for smart contracts.
Introduction
Software engineering is an engineering system that aims to educate, research, and apply methods to develop applications for increasing software productivity and quality and reducing the cost and production time (Kung, 2013). One of the software engineering methods that has received attention in recent years is using Low-Code Development Platforms (LCDP) (Alamin et.al, 2023). LCDPs use a graphical user interface to develop software instead of traditional programming. These types of platforms are suitable tools for organizational companies to reduce development costs and time to market (Tisi et al., 2020). Increasing the level of abstraction in order to reduce the cost of development is exactly the same goal that "Model-Driven Software Engineering" (MDSE) pursues. MDSE is an approach in software engineering where models are used not only as documentation but also for automatic code generation (Brambilla et al., 2017). The MDSE methodology has matured and its best practices can be used for the new field of LCDP (Verbruggen and Snoeck, 2023). At the same time, LCDP has been of great interest in the last few years, and migrating from Model-Driven Engineering to cloud spaces to create LCDPs can be applicable and appropriate (Ruscio et al., 2022).
Research Question(s)
What features can be considered for common LCDPs?
What is the position of LCDPs compared to MDSE?
What are the prerequisites for migrating modeling languages from MDSE to LCDP?
Literature Review
2.1. Theoretical foundations of research
Model-Driven Engineering and a Low-Code Development Platform have both been introduced with the goal of rapid product delivery with minimal programming (Ruscio et al., 2022). However, MDSE is more mature than LCDP (Verbruggen and Snoeck, 2023). Mendix, one of the pioneers in the LCDP field, has presented a LCDP manifesto including 9 principles, which are model-driven development, collaboration, agility, cloud computing, openness, multi-user development, experimentation, governance, and community (Kenneweg et al., 2021). To investigate the features of the LCDP platforms, six stages for developing an application has introduced, which are domain modeling, user interface definition, business logic specification, integration with external services, deployment, and maintenance (Sahay et al., 2020).
2.2. Related Work
2.2.1. Researches related to LCDP and MDSE
Cabot stated that the LCDP approach is the same as MDSE and it has been changed only with the aim of attracting the audience and better understanding the name of the approach (Cabot, 2020). Khorram et al. stated that LCDPs are based on MDSE, in which system design with visual modeling and automatic production of the final executable system has been introduced as a common feature of both approaches (Khorram et al., 2020). In the Locomote framework research, it is stated that developers can take advantage of MDSE principles, but as scalability is one of the serious problems in MDSE, this challenge is more evident in LCDP (Tisi et al., 2020). Alamin et al. stated that LCDP is inspired by MDSE, and development is done using abstract representations instead of focusing on algorithmic calculations (Alamin et al., 2021). Ruscio et al., have classified five research areas, in which the differences between MDSE and LCDP, including end users and application scope, are stated (Ruscio et al., 2022).
2.2.2. Well-known LCDPs
In Appsheet, a variety of tools and services, including data-driven applications, can be easily developed on top of the Google cloud database (Käss et al., 2023). In SwiftUI, it is possible to create a user interface for any Apple device by means of a declarative syntax, drag-and-drop support, and real-time preview (Nekras, 2022). Honeycode is a spreadsheet component and a set of templates for creating simple web-based applications (ElBatanony and Succi, 2021). PowerApps is a no-code platform for business users that starts with the data model and business processes and goes on to automatically generate responsive portable applications. (Gürcan and Taentzer, 2021). OutSystems is a low-code development platform that enables the development of desktop and mobile applications (Martins et al., 2020). Mendix is a low-code development platform where all features can be accessed via drag-and-drop functionality (Gürcan and Taentzer, 2021). KissFlow is a cloud-based workflow automation software platform that helps users build and modify automated enterprise applications (Hili and Oliveira, 2022). Appian is one of the oldest LCDPs that enables the creation of mobile and web applications through personalization tools, built-in team collaboration tools, task management, and social networking (Vincent et al., 2019).
Methodology
The present research method is practical in terms of purpose and descriptive survey in terms of nature. The purpose of this research is to investigate various approaches in the field of LCDPs and compare them with MDSE approaches. Based on this, three research questions were designed. The first question is to examine the characteristics of LCDPs. To answer the first question, two types of studies have been conducted to collect information about these platforms: (1) a review of articles from 2014 to 2023 and (2) a review of LCDP tools.
The second question is to examine the position of LCDPs compared to the MDSE approaches. The review of articles has been from 2014 onwards and the articles that have addressed both issues have been taken into consideration.
The main challenge for LCDPs is the commercial nature of these platforms, which makes a limited community of users able to use them. MDSE tools are often academic and free. Consequently, the third question examined the requirements for moving from MDSE to LCDP. To answer this question, by introducing a case, the requirements of migration have been studied.
Conclusion
In this paper, the emerging approach of LCDP has been introduced. First, the important features of LCDPs have been reviewed and seven different tools were compared based on the reviewed features. Also, due to the common goal with the MDSE field, a comparison between these two fields has been presented and the position of LCDPs has been determined. Based on the MDSE benefits, the migration of modeling languages from the model-driven approach to the low-code development platform has been studied, and an example of migration has been investigated. One of the important limitations of this research is the lack of sufficient resources in the modern LCDP field. Most of the common platforms are commercial and there are few free platforms currently. Consequently, we suggested using the experiences of the model-driven field in the development of these types of platforms. For future work, it is necessary to study the characteristics and complexity of applications built using LCDPs, with the aim of evaluating the performance status of these platforms and reasoning about criteria such as their scalability and efficiency.
Acknowledgments
This article is derived from the results of the research project implemented under the contract number 5497/141 from the funds of Shahrekord University Research and Technology Vice-Chancellor.
Keywords: Model-Driven Engineering, Low-Code Development Platform, Cloud Computing.
Data, information and knowledge management in the field of smart business
Majid Sabet Rasekh; Mehdi Salimi; Ghasem Rahimi
Abstract
The aim of the current research was to provide a world-class information systems development model using the balanced scorecard approach in sports organizations. The current research is practical in terms of purpose; In terms of how to collect information, it was a survey. The statistical population ...
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The aim of the current research was to provide a world-class information systems development model using the balanced scorecard approach in sports organizations. The current research is practical in terms of purpose; In terms of how to collect information, it was a survey. The statistical population of the research was made up of the employees of all 31 general sports and youth departments of the country's provinces (5882 people) and the statistical sample was selected using the Karjesi and Morgan table of 361 people. To collect data, a researcher-made questionnaire was used according to the balanced scorecard approach (4 components and 48 items). The validity of the questionnaire was confirmed by 10 sports management professors and the reliability was 0.86, which indicated its good reliability. Data analysis was done using confirmatory factor analysis and structural equation modeling with PLS software. The findings from the analysis of the conceptual model of the research show that the development model of world-class information systems in sports organizations, in the financial perspective using 5 indicators, in the customer perspective with 12 indicators, in the business processes perspective with 14 indicators and in the growth perspective and learning was confirmed with 17 indicators. Therefore, it is concluded that the development of world-class information systems in sports organizations by increasing efficiency and effectiveness will improve organizational productivity and be considered as a sustainable competitive advantage. IntroductionToday, work processes are increasingly performed with high complexity, multitasking and time pressure. Among these organizations, sports organizations need more flexible information systems due to their communication and interaction with different stakeholder groups and their geographic scope is both national and international. One of the important functions of organizational information systems, in addition to the flow and integration of information throughout the scope of an organization, is the sharing of relevant and required organizational information with stakeholders and other related organizations; And due to the interconnected nature of some organizations and the important role of stakeholders in organizational growth and development, it is very important.Considering the advantages mentioned for information systems, most organizations have now realized that the use of these systems in all economic and social fields is an inevitable necessity. Physical education and sports are not exempted from this rule, so one of the fields that need to use these information systems for transformation is the country's sports department, for this purpose, the current research seeks to examine the question that the system evaluation model How is the world-class information in the country's sports organizations? Literature ReviewIn a research, Jafarzadeh et al. (2019) investigated the future research of information technology infrastructure in sports organizations and by presenting a model, they stated that managers of sports organizations should pay attention to the identified variables of the optimal infrastructure path in the future. Technology, such as technology knowledge, network communication, technology management, etc., emphasize this issue and improve it. In another study, Najafi and Ghasemi (2019) identified the main indicators and calculated the performance efficiency of information systems and knowledge management in the oil industry and found its position in this industry to be better than other industries.Also, in their research, Salimi and Tayibi (2022) investigated a model of information systems in sports organizations and examined the variables of system quality, information quality, service quality, usability, user satisfaction and net profit, which The difference between this research and the current research is in the model that is evaluated. Norton and Kaplan (2021) also investigated the importance of the balanced scorecard method in a research and called it a revolutionary tool for realizing the mission of organizations and more than an evaluation system, as a management system that can use all energy, abilities, knowledge and skills. Employees are introduced to achieve the strategic goals of the organization. Benbiya et al. (2020) and Sora et al. They know a great help to solve these complications. Boranbayu et al. (2020) also evaluated the reliability of information systems using multi-criteria decision-making and its information security risks in a study and provided solutions to find and neutralize risks. MethodologyThe current research is practical in terms of purpose; And in terms of method, it is placed in the category of survey descriptive research, which is specifically based on structural equation modeling. The statistical population was made up of the employees of all 31 general departments of sports and youth in the provinces of the country (Iran) (this number was estimated to be 5882 people); And the sample size was considered 361 people based on the table of Karjesi and Morgan, with maximum confidence. For sampling, the provinces of the country were divided into 5 geographical regions, and in each region, one general office was randomly selected as a sample and 73 questionnaires were distributed in that office. Due to the geographical dispersion of the selected general sports and youth departments (5 departments from five different geographical regions of the country), as well as the communication limitations caused by the corona disease, the questionnaires were sent in person and through an electronic address (or WhatsApp application) and etc. were distributed (a total of 73 questionnaires were distributed in each General Directorate of Sports and Youth, which was a total of 365 questionnaires and 361 questionnaires could be examined). In this research, the tool used to collect data was a researcher-made questionnaire. For this purpose, with the help of theoretical literature and existing research background, including reliable sources and instructions issued by the Ministry of Sports and Sports and Youth Departments, the indicators of the questionnaire were designed according to the balanced scorecard approach; which includes 4 general components and 48 items: the financial perspective in the development of the organization's information systems (5 items), the customer's perspective in the development of the organization's information systems (12 items), the perspective of internal processes in the development of the organization's information systems (14 items), the perspective Learning and growth in the development of organization information systems (17 items). The validity of the questionnaire was accepted and confirmed by 10 sports management professors after removing, adjusting or modifying some questions, and its reliability was confirmed using Cronbach's alpha coefficient of 0/86. At the end and after data collection, using confirmatory factor analysis and structural equation modeling with the help of Smart PLS software, the construct validity was confirmed and the research model was explained. ConclusionThe existence of appropriate information systems in the country's sports organizations, which have a wide range in the provinces and cities and also include many financial and non-financial resources, can be beneficial in the field of education, learning and organizational growth. also played a very important role and by providing various information to the organization's human resources, it helped to perform their job duties with better and more quality, increased the speed of performing duties and also assessed the training needs of jobs in the future. turn on another part of the findings from the analysis of the research model states that one of the most important aspects of the balanced scorecard in the investigation of the information systems of sports organizations is the customer's perspective; Because the existence of loyal customers is significant and valuable, which primarily gives credibility to an organization and causes its establishment, stability and growth; Also, the existence of information systems in various organizations, including sports organizations, which have customers from different strata of people with different ages, economic status, and social status, and they have different demands and expectations, is very important, and obtaining their maximum satisfaction is achieved when There should be more transparency in various organizational and executive stages, which can help attract more customers in addition to retaining customers.The perspective of internal processes is also another aspect investigated in the balanced scorecard approach, which the findings from the analysis of the research model show that the existence of information systems in sports organizations, which, like many other organizations, are subject to changes and developments. are located globally, it can examine various processes that affect customer satisfaction such as time, quality, employee skills and productivity in general, and identify its competitive advantages in different sectors and with quantitative measurements and clarify and improve the different quality of this issue with transparency.Keywords: Balanced Scorecard, World Class, Sports Organizations, Information Systems.v
Jalal Haghighat Monfared; Sayyid Gholam Hassan Tabatabaee; Rouhollah Dadashniya Kasmani
Abstract
Information technology (IT) architecture with a general and comprehensive description of the IT functions in the organization, attempts to reduce the complexity of using this technology and increase the efficiency that meet the requirements and achievement of organizational goals. On the other hand, ...
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Information technology (IT) architecture with a general and comprehensive description of the IT functions in the organization, attempts to reduce the complexity of using this technology and increase the efficiency that meet the requirements and achievement of organizational goals. On the other hand, control objectives for information and related technologies framework or briefly COBIT framework, is the most efficient way for implementing and auditing IT governance to develop, implement, monitor, and improve IT management. The need to model IT architecture along with the benefits of QOBIT 2019 framework to achieve organizational goals by enhancing value while balancing IT revenue and processes, has led the researchers to present a paradigm-based IT architecture model using grounded theory approach. It is intended that the model to be holistic and consistent with ETKA organization. Data were gathered using document mining, observation, and in-depth interviews with 15 experts in the field of IT management and IT governance in the organization under study. The analysis of the research data have resulted in 650 concepts and 48 subcategories using Strauss and Corbin methodology and MAXQDA software. Finally, by choosing the main phenomenon and its relationship with the other categories, the paradigmatic model of research was presented in the form of causal conditions, contextual conditions, confounding conditions, strategies and consequences.
hossein karimi; mohammad javad jamshidi; milad bakhsham
Abstract
IoT technology offers many benefits in health care and epidemic control and will greatly facilitate the process of continuous remote patient diagnosis and monitoring with wireless sensors and smart devices. This article aims to identify and analyze the applications of the Internet of Things to combat ...
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IoT technology offers many benefits in health care and epidemic control and will greatly facilitate the process of continuous remote patient diagnosis and monitoring with wireless sensors and smart devices. This article aims to identify and analyze the applications of the Internet of Things to combat and control epidemics such as covid 19 disease. This research was applied in terms of purpose, which was conducted in two stages. First, by reviewing the theoretical foundations and previous studies through the method of reviewing texts, IoT applications in combating and controlling epidemic diseases such as covid 19 disease were identified; then, to confirm and prioritize the identified applications, these applications were provided to 23 experts from academic experts and experts in the medical field. IoT applications in the fight against and control of epidemic diseases such as covid 19, It has the dimensions of therapeutic applications (5 components and 9 indicators), Monitoring applications (4 components and 14 indicators), Information applications (2 components and 5 indicators), management applications (2 components and 8 indicators), prevention applications (7 components and 14 indicators). In the case of epidemics such as covid19 disease, The Internet of Things improves the quality of treatment and diagnosis, supports decision-making and monitoring patients 'vital signs, reduces hospital visits, and increases the ability to monitor and monitor patients' condition.
Abbas Moayya; Ali Otarkhani; Ali Rezaeian; Bahman Hajipour
Abstract
Business Model Innovation (BMI) is an innovation process which is associated with radical change (i.e., designed, novel, nontrivial changes) in the configuration of an existing BM, aimed at building and maintaining competitive advantages. One of the important subjects regarding this concept is the drivers ...
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Business Model Innovation (BMI) is an innovation process which is associated with radical change (i.e., designed, novel, nontrivial changes) in the configuration of an existing BM, aimed at building and maintaining competitive advantages. One of the important subjects regarding this concept is the drivers of this level of innovation in businesses. However, despite the interest of many researchers in BMI in recent years, few articles have studied its antecedents directly and comprehensively, and most of existing articles are case studies. Therefore, in this study, an attempt has been made to integrate the antecedents reported in scattered case studies with the Meta-Synthesis method, and combining them with the Thematic Analysis method to provide a comprehensive list of Business Model Innovation drivers. For this purpose, after searching related articles in Scopus database and refining the results, 140 case studies reported in selected articles were analyzed. Extraction of instances of drivers, coding, searching for themes and naming them during the recursive steps of the content analysis method, led to identification of 10 main themes including 30 sub-themes. Eventually, the research report is presented along with the researcher's definition of all 10 main drivers and 30 sub-drivers.
Mohammad Reza Kousheshi; Samad Aali; Alireza Bafandeh zendeh; Soleyman Iranzadeh
Abstract
Purpose of this paper is to provide a model for predicting Antecedents and consequences of relationship quality in online purchase. In this respect, online buyers in Tabriz were selected as statistical population and 462 individuals participated in research by completing the questionnaire. The ...
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Purpose of this paper is to provide a model for predicting Antecedents and consequences of relationship quality in online purchase. In this respect, online buyers in Tabriz were selected as statistical population and 462 individuals participated in research by completing the questionnaire. The convenience sampling was used to select the samples and the research hypotheses were tested using structural equation modeling and AMOS software. The results of the research showed that website quality, online relationship Bonds and reputation of seller have positive effect on online relationship quality. Also, the results of the research showed that online relationship quality has positive effect on electronic word of mouth, online customer share, online customer loyalty and online customer reviews. The findings of this study, together with previous findings, point out that long-term online relationship that are extract of online marketing should be looked at in depth. Because the online relationship quality is a connecting loops between the attitudes and behaviors of customers and internet vendors. In the online retailing industry, marketers need to develop an online relationship to continue their relationship with customers and equip themselves with tools that enhance the quality of the relationship. This research helps business managers identify key points of online relationship quality and use it in online relationship marketing.
