Research Paper
mehrnoosh mehdi sasan; Ghasem Bakhshandeh
Abstract
Given the rapid economic, technological and even political developments in today's world, the use of business intelligent systems in organizations is inevitable and the present study also examines the relationship between intelligent business systems and organizational performance in previous research ...
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Given the rapid economic, technological and even political developments in today's world, the use of business intelligent systems in organizations is inevitable and the present study also examines the relationship between intelligent business systems and organizational performance in previous research has examined the community. In this regard, 1244 studies were identified and reviewed by systematic review, and finally 8 articles had the necessary criteria to enter the meta-analysis were selected as the basis for entering the meta-analysis. The obtained data were analyzed using CMA2 software. The results of N safe from error test indicated that there was no diffusion bias in the data, and in terms of homogeneity or heterogeneity, both I2 index and Q statistic indicated that the observed effects were heterogeneous; hence, a random model was used to evaluate the total effect size. The results showed that the relationship between business intelligent systems and organizational performance is positive and has an effect size of 0.474.
Research Paper
Armina Mohseni; ameneh khadivar; Fatemeh Abbasi
Abstract
The growth of the Internet, social networks and e-commerce websites provide a platform for users to express their opinions. In recent years, many users have expressed their positive or negative opinions about food, service, and quality and restaurant atmosphere online. These comments are very important ...
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The growth of the Internet, social networks and e-commerce websites provide a platform for users to express their opinions. In recent years, many users have expressed their positive or negative opinions about food, service, and quality and restaurant atmosphere online. These comments are very important for the decision of other users as well as restaurants to maintain quality, product development and their brand. Sentiment analysis is a natural language processing approach and allows systematic analysis of users' opinions. Due to the importance of this issue, the purpose of this study is to present a model for analyzing the sentiment of TripAdvisor's comments about Iranian restaurants. In this research, we propose an aspect-based sentiment analysis based on a deep learning algorithm which is the standard long short-term memory neural network to extract users' sentiments about restaurants. To teach the model, 4000 comments were labeled according to four aspects in three classes of not related, positive and negative, and the study steps were done based on Crisp methodology. Accuracy for food, service, value and atmosphere were 82%, 86%, 87% and 81%, respectively. These results indicate the efficiency and acceptable performance of the model for aspect-based sentiment analysis of restaurants. Furthermore, food and atmosphere are the most important aspects for the customers of Iranian restaurants, respectively. Restaurant owners can use the developed model to gain a competitive advantage and find their strengths and weaknesses.
Research Paper
Mercedeh Pahlavanian; Meysam Shirkhodaie; Sepehr Ghazinoory,
Abstract
Wealthtech or financialtechnology of wealth management helps investors to make better decisions about when and how to invest; and seeks to shift savings and investments to the capital market and balanced the money and capital markets. This study examines the transition of wealthtech in Iran. Transition ...
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Wealthtech or financialtechnology of wealth management helps investors to make better decisions about when and how to invest; and seeks to shift savings and investments to the capital market and balanced the money and capital markets. This study examines the transition of wealthtech in Iran. Transition refers to the process of creating and replacing a new technology and its acceptance by the community. For the analysis of the transition, the multi-level perspective analytical framework was used and the interactions of actors and institutions with technology at different levels are analyzed. The transition to wealthtech has been studied through a qualitative and narrative research method, and data have been collected through the study of regulations and policy documents, as well as press interviews and press reports published in fintech media. 252 reports were reviewed, of which 118 reports were related to the discussion and the opinions of 36 experts were analyzed. With the studies, the functions of the financial system of wealth management were identified. By analyzing the behavior of actors who performing the functions against technological developments and institutional changes, the typology of the transition was determined as reconfiguration path. The reconfiguration path follows the innovation overflow pattern and caused changing the architecture of the regime. In the end, the public release of information and informing to citizens should also be followed Simultaneously with the provision of conditions for providing innovative services. Through the simultaneous reinforcement of the supply side and the demand side, the optimal transition will be possible.
Research Paper
behrooz asannejad; Seyed Mahdi Jalali; Bita Tabrizian
Abstract
The present study aims toA model for digital marketing based on value creation for the Iranian insurance industry. The method used in the research is qualitative and based on the strategy of data-based theory. In-depth interview tools were used to collect data. The target population was managers and ...
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The present study aims toA model for digital marketing based on value creation for the Iranian insurance industry. The method used in the research is qualitative and based on the strategy of data-based theory. In-depth interview tools were used to collect data. The target population was managers and senior experts in the insurance industry who were involved in the digital marketing process and decisions. Using purposive sampling after 15 in-depth interviews, theoretical saturation was achieved. Open, pivotal, and selective coding represent 32 general categories in a paradigmatic format, including causal, contextual, interventionist, pivotal categories, strategies, and consequences based on value creation. The results showed that digital marketing based on value creation in the Iranian insurance industry by causal conditions (identifying digital marketing in the insurance industry, creating a digital marketing campaign, promoting the influence of insurance culture, digital environment and developing the required infrastructure), background ( Focus strategy, digital branding, implementation of digital marketing, responding to the needs and interests in the digital space and optimization of digital activities), interventionist (customer insights, environmental factors, digital capabilities, digital revolution, price transparency and organizational challenges), categories Axis (behavior-based branding, interactive approach, customer expectations of insurance services and customer experience), strategies (positioning promotion, communication channels promotion, value creation for customers through content production, E-WOM-based customer engagement and participation, development of digital technologies And digital innovation) and the consequences (increasing market share, organizational effectiveness, promotion and brand position (company), promoting e-brand equity and developing digital business) are realized.
Research Paper
Hamidreza Rostami; Shaban Elahi; ali moeini; Alireza Hassanzadeh
Abstract
Actor-Network theory (ANT), in social sense, is an approach to sociological analysis in the field of science and technology studies and focuses on understanding how things get to the situations in which they find themselves. In recent years, this theory has been considered by researchers as a methodological ...
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Actor-Network theory (ANT), in social sense, is an approach to sociological analysis in the field of science and technology studies and focuses on understanding how things get to the situations in which they find themselves. In recent years, this theory has been considered by researchers as a methodological approach to analyze the use of technology in the workplace and describe the various dimensions of socio-technical systems. Despite numerous examples of research based on ANT methodology, no codified framework has been introduced for it and no examples of using this theory in the form of methodology have been found in the country. The present study tries to introduce a framework for data collection and analysis in the context of this theory, while explaining the methodology of this theory in an analytical-descriptive manner. The feasibility and validity of the proposed framework have been assessed in the form of a case study. The results of the research can be effective in the systematic application of ANT methodology, especially in the country.
Research Paper
Fatemeh Saghafi; Ahmad Jafarnejad; Manochehr Manteghi; Seyyed Javad Mousavo
Abstract
The use of ecosystem metaphor in different branches of management, business, innovation and entrepreneurship, are growing increasingly. The evolution property of ecosystems has highlighted. The aim of this study is to identify the stages of the evolution of business ecosystems. The major of previous ...
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The use of ecosystem metaphor in different branches of management, business, innovation and entrepreneurship, are growing increasingly. The evolution property of ecosystems has highlighted. The aim of this study is to identify the stages of the evolution of business ecosystems. The major of previous studies about ecosystem’s evolution are based on case studies and affected by context. Then they are not generalizable. In this study we present a comprehensive model for evolution stages of industrial business ecosystems by qualitative Meta synthesis approach. 16 studies are identified by literature review that they were about evolution stages. Then 105 codes were extracted and translated in 19 conceptions and a 4 stages model was presented. This model, by highlighting the value chain and industrial platforms, is a good model for industrial business ecosystems. Also industrial researchers can use it to design a pattern for a special industrial ecosystem, or they can use it for studying and evaluating of the existent industrial ecosystems.
Research Paper
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.
Research Paper
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.
Research Paper
yazdan shirmohammadi; Arash Bostan manesh
Abstract
Using artificial intelligence technology, smart stores transfer a lot of customer and product information (big data) including facial recognition, smart sensors, smart shelves, automatic payment and interactive displays at high speed based on the fifth generation (5G) internet. Since the spread of the ...
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Using artificial intelligence technology, smart stores transfer a lot of customer and product information (big data) including facial recognition, smart sensors, smart shelves, automatic payment and interactive displays at high speed based on the fifth generation (5G) internet. Since the spread of the corona virus has changed the way of life and business today, that's why marketers have used new strategies based on artificial intelligence to advance. This research analyzed the hedonic factors of customers' purchases based on the Hedonic Information Systems Acceptance Model (HISAM). The sampling method of this research was simple random and its number was 404 people. The measurement tool in this research is a questionnaire. Statistical analysis was done using structural equation method and using SPSS and Amos software. To determine the causal relationship between the variables using the structural equation model method and significance levels in order to test the hypotheses, a p_value smaller than 0. 05 was considered. The results of this research showed that the perceived ease of use, perceived benefit and perceived enjoyment have a positive and significant effect on the purchase intention due to the technology readiness of customers. Also, the results of the research indicated that the mediating variable of technology readiness was effective from optimism, innovation, discomfort and insecurity, and perceived ease of use, perceived enjoyment, and perceived benefit had a positive effect on customers' purchase intentions from smart stores in the era of Corona.
Research Paper
Reyhaneh Forouzandeh Joonaghani; mirali Seyednaghavi; Vajhollah ghorbanizadeh; Mohammad Taghi Taghavifard
Abstract
In recent years, the application of artificial intelligence, especially machine learning, has grown significantly in the field of HRM, which is unknown to many managers and experts in the field of HR due to the newness of this field. A lot of data is being generated by users of organization in HRM domains ...
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In recent years, the application of artificial intelligence, especially machine learning, has grown significantly in the field of HRM, which is unknown to many managers and experts in the field of HR due to the newness of this field. A lot of data is being generated by users of organization in HRM domains and the related fields, which are difficult to analyze and use in HR activities. The capabilities of data science and machine learning have been able to make great contributions to the field of HRM and beyond to the management of the organization with descriptive, diagnostic, predictive and prescriptive reports and analyses. The purpose of the research is to examine the measures that have been taken so far in the field of HRM intelligence, and in this research, three main questions are answered. The first question is to identify HRM activities that can be made intelligent. In the second question, the application of various ML algorithms in HRMI has been identified. In the third question, based on the maturity levels of data analytics, the classification of "ML algorithms in intelligent HRM functions" has been made. In order to answer , a wide range of articles were extracted from reliable scientific databases and journals and analyzed based on a mixed method. In this method, qualitative and quantitative methods for data analysis were investigated at the same time. IN the quantitative part, text mining algorithms were used Python language, and in the qualitative part, thematic analysis was used MAXQDA2020 .
Research Paper
jamalodin ebrahimi; Mohammad Azizi; Katayoun Pourmehdi
Abstract
In today's world, technological advances and the complexity of the environment have created a highly competitive environment in which companies are constantly faced with dramatic market changes and the emergence of a variety of business opportunities. In such an environment, adapting to innovations and ...
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In today's world, technological advances and the complexity of the environment have created a highly competitive environment in which companies are constantly faced with dramatic market changes and the emergence of a variety of business opportunities. In such an environment, adapting to innovations and changes is essential for companies to achieve sustainable business success. International corporate entrepreneurship activities can increase the company's ability to recognize and take advantage of international market opportunities ahead of its competitors. This research is applied in terms of purpose and exploratory mixed method (qualitative-quantitative). The statistical population includes 17 people in the qualitative section by snowball method and 389 people in the quantitative section by random sampling. Data collection tools in the qualitative part are interviews and in the quantitative part are questionnaires. The method of data analysis in the qualitative part includes coding in the initial coding step, open coding and axial coding, and in the quantitative part is confirmatory factor analysis and structural equations using SPSS and Amos software. The research findings in the qualitative section show that five categories of factors affect the entrepreneurship of an international company, which are international factors, national factors, individual, organizational and industry characteristics. The results of the quantitative section show that these factors affect 74% of the achievements of international corporate entrepreneurship and organizational, international, individual and national factors and industry characteristics have the most to the least impact on international corporate entrepreneurship, respectively.
