Original Article
Amirali Moezzi; Ehsan Chitsaz; Majid Ahmadi
Articles in Press, Accepted Manuscript, Available Online from 29 February 2024
Abstract
The emergence of Web 3, characterized by the integration of digital technologies such as artificial intelligence, machine learning, big data, and blockchain, has the potential to revolutionize traditional business practices. This transformative phase, referred to as Web 3 entrepreneurship, is disrupting ...
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The emergence of Web 3, characterized by the integration of digital technologies such as artificial intelligence, machine learning, big data, and blockchain, has the potential to revolutionize traditional business practices. This transformative phase, referred to as Web 3 entrepreneurship, is disrupting established industries and creating new markets, thereby driving economic growth and generating employment opportunities. However, the rapid pace of technological advancement presents complex challenges that necessitate exceptional adaptability and continuous learning within the evolving entrepreneurial landscape. This study aims to identify the critical factors for growth and success, as well as to explore the implications of this modern form of entrepreneurship. To achieve this, a Delphi study was conducted involving 30 industry experts, leading to the identification of four categories of key success factors: technological, individual, environmental, and organizational. The findings of this research revealed that while there are potential adverse environmental, social, and economic consequences, such as the risk of creating a digital divide and increased energy consumption, there are also opportunities inherent in this technology. These opportunities include the potential to mitigate these consequences by fostering greater transparency and trust in transactions, creating new decentralized ecosystem-based opportunities, and developing sustainable solutions to address environmental challenges.
Original Article
Mozhgan Sadat Masoudi; Amirali Foukerdi; Hadi Talkhabi; Seyed Kamran Ghoreishi; Gholamreza Ghadiri Ashkzari
Articles in Press, Accepted Manuscript, Available Online from 29 February 2024
Abstract
Construction projects play an important role in the growth of GDP and economic progress of countries. However, these projects always face a diverse range of risks. If these risks are not identified and evaluated properly at the beginning of the project, and appropriate risk response strategies are not ...
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Construction projects play an important role in the growth of GDP and economic progress of countries. However, these projects always face a diverse range of risks. If these risks are not identified and evaluated properly at the beginning of the project, and appropriate risk response strategies are not selected considering them, they become the causes of claims that can be the basis for disputes. This research presents a claim cause – claim request model to identify and evaluate risks, and applies it to the design-bid-build construction projects in the Iranian Central Oil Fields Company. After conducting a thematic analysis with 10 semi-structured interviews, 32 claim causes and 26 claim requests of the contractors were identified. Then, by estimation of the probability of occurrence of causes and requests, and the potential loss of each request by the experts, the claim cause – claim request matrix was formed. The analysis of this matrix by Bayes' rule led to the identification of the most preferred claim causes and claim requests. The findings of the research can be the basis for adopting risk response strategies. The claim-based opinion-experts model of this study helps owner to identify and evaluate the risks that lead to the contractor's claims, and provides the owner with a suitable basis for choosing response strategies to these risks.
Original Article
Ebrahim Zarepour Nasirabadi; Neda Ghamaripoor
Articles in Press, Accepted Manuscript, Available Online from 29 February 2024
Abstract
Gaining customer satisfaction and trust by expanding the use of new technologies in banking systems is one of the most important challenges of banking in mobile ecosystems. Therefore, the present study aims to investigate the relationship between the factors affecting customer satisfaction and trust ...
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Gaining customer satisfaction and trust by expanding the use of new technologies in banking systems is one of the most important challenges of banking in mobile ecosystems. Therefore, the present study aims to investigate the relationship between the factors affecting customer satisfaction and trust in mobile banking services in mobile banking ecosystems. This research is of an applied type, which was carried out with a survey method. The statistical population of the research includes customers using mobile banking services, 460 of whom were selected as a sample using random sampling. The tool of data collection in this research is a questionnaire, and Kolmogorov-Smirnoff, T, Spearman's correlation coefficient, and structural equation method were used to analyze the data. The data analysis tool is PLS software. The findings showed that there is a positive and significant relationship between aesthetic components, system quality, service quality, information quality, task characteristics, structural assurance and sociality with trust and satisfaction in mobile ecosystems. And this relationship has been confirmed statistically because all significance levels obtained are less than 0.05. Also, the findings showed that the value of R2 related to the endogenous variable of trust is 0.485 and the variable of satisfaction with mobile banking is 0.545, which indicates the appropriateness of the fit of the structural model. Therefore, it can be said that the factors affecting mobile banking through trust have an effective role in obtaining customer satisfaction in mobile banking ecosystems.
Original Article
Hossein Rahimi celver; golsum akbariarbatan
Articles in Press, Accepted Manuscript, Available Online from 29 February 2024
Abstract
Data marketplaces can play a key role in realizing the data economy by enabling the commercialization of data between organizations. Although data marketplaces research is a rapidly evolving field, there is a lack of understanding about data mart business models. The current research project is carried ...
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Data marketplaces can play a key role in realizing the data economy by enabling the commercialization of data between organizations. Although data marketplaces research is a rapidly evolving field, there is a lack of understanding about data mart business models. The current research project is carried out by necessity with the aim of developing markets based on digital technology and information data for industrial units. This research is qualitative in terms of approach and applied-descriptive in terms of purpose, the research strategy is based on grounded theory and the formation of theory is done using constructivist approach (Charmas). The statistical population includes experts in the field of startups and information technology managers, 12 of whom were selected by theoretical sampling and participated in the research through in-depth semi-structured interviews. The result of this was the extraction and design of optimal business model categories based on the creation of data marketplaces, which include the following components: Contingencies (financial incentives, new production factor and clustering of digital content), background conditions (market structure and data matching between supply and demand), intervening factors (information asymmetry, ethical risks and transaction uncertainty), strategies ( market design, data engineering and data science), outcomes (improvement of social surplus, self-regulating network of mutual exchanges and intelligent multilateral markets). Finally, after finishing the analysis on the qualitative data, the codings have been presented in the form of a model. The research results can help business managers to earn money from data assets.
Original Article
Ghasem zarei; Rahim Mohammad khani; hajar fathi
Articles in Press, Accepted Manuscript, Available Online from 29 February 2024
Abstract
The digital world provides many opportunities for marketers to reach customers. However, in the fast-paced world, finding new and innovative ways to market products and services is very important. Due to the advancement of artificial intelligence and its development in the field of international marketing, ...
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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 market products and services is very important. Due to the advancement of artificial intelligence and its development in the field of international marketing, professionals now have the tools to completely redefine the current understanding of branding, marketing and advertising. 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 study in terms of its purpose, application, and in terms of data collection. The statistical population of the research was managers and experts specializing in the field of digital marketing and IT in the international field, 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, 9 main themes, 20 sub-themes and 50 codes were discovered, which included the consequences of using artificial intelligence in international marketing. The research findings can have important results for exporters and international marketers
Original Article
Maryam Zaeimi; esmaeil malek akhlagh; salman eivazinezhad
Articles in Press, Accepted Manuscript, Available Online from 29 February 2024
Abstract
The The current research has sought to identify and level indicators that are effective in branding family businesses. This research is applied from the objective point of view and mixed from the method point of view. The research community in the first part (qualitative) was experts, university professors ...
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The The current research has sought to identify and level indicators that are effective in branding family businesses. This research is applied from the objective point of view and mixed from the method point of view. The research community in the first part (qualitative) was experts, university professors related to the research field and managers of family businesses, and in the second part (quantitative),senior managers and employees were selected as respondents to the questionnaire questions. The data collection tool was based on semi-structured interview in the first part and questionnaire in the second part. The method of data analysis in the first stage is based on a systematic review of theoretical literature and thematic analysis (reflective approach) and in the second stage Interpretive-Structural Modeling (ISM) has been used to measure the most influential variables. after collecting all the articles done in this domain as well as the number of 8 semi-structured interviews with the target community, finally 16 factors from the theoretical literature and 4 factors from the qualitative section were selected as the main foundations of family business branding, which in the final part of the results of this activity showed that government support, the role of a powerful leader, High initial capital is the most influential factors and pricing system, quality, suitable packaging are the influencing factors of this research. The results of the present research can be new foundations for the formation and stability of branding of family businesses in the country.
Original Article
Sayyed Hesam Kashani; Ali Shaemi Barzoki; ali nasr Isfahani
Articles in Press, Accepted Manuscript, Available Online from 09 June 2024
Abstract
The research was conducted with the aim of designing a shared leadership model for knowledge-based work teams in Iran. In terms of purpose, the research is applied, and in terms of method, this research is mixed method by qualitative (grounded theory) and quantitative (survey). 15 experts was interviewed ...
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The research was conducted with the aim of designing a shared leadership model for knowledge-based work teams in Iran. In terms of purpose, the research is applied, and in terms of method, this research is mixed method by qualitative (grounded theory) and quantitative (survey). 15 experts was interviewed by semi-structure method and the Strauss and Corbin’s method was used in three stages (open, axial and selective coding) with Atlas.ti 8 software. The results showed that three categories including predictive factors of team members' individual characteristics, organizational characteristics, and extra-organizational characteristics have impact on shared leadership strategies, and leadership development in knowledge-based teams leads to individual, team, and organizational outcomes. The statistical population was specialists and experts in knowledge-based teams. The research tool was a questionnaire designed based on the model, which was distributed among 100 work teams (490 people) by stratified random method. Structural equation modeling(SEM) with Amos software was analyzed. The results showed that causal conditions (0.45) and contextual factors (0.37) have a positive and significant effect on shared leadership. Intervening conditions (0.19) have a positive and significant impact on shared leadership, and shared leadership as the core phenomenon ( 0.85) has a positive and significant effect on shared leadership strategies and strategies with coefficient of 0.95 have effect on consequences of shared leadership.
Original Article
omid TASA; Mahmoud Gholabchi; mehdi ravanshadnia
Articles in Press, Accepted Manuscript, Available Online from 01 October 2024
Abstract
Research has shown that complexity may be a significant factor in a project's failure to meet cost, time, and quality goals. Although important indicators of project complexity have been identified in many studies, their weight effect has yet to be investigated. This article reviewed the project complexity ...
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Research has shown that complexity may be a significant factor in a project's failure to meet cost, time, and quality goals. Although important indicators of project complexity have been identified in many studies, their weight effect has yet to be investigated. This article reviewed the project complexity literature to develop a simple and dynamic framework, and 40 complexity indicators were identified and classified into nine factors. Then, they were provided to 30 industrial experts and two research consultants for evaluation to determine the role of each indicator in Evaluating the complexity of industrial projects. These indicators were validated, weighted, and ranked during the three stages of implementing the Delphi method. The results showed that the indicators related to the complexity factors of the project's context, content, and dependency have the highest accumulated weight. Also, the presence of uncertainty and ambiguity in increasing the weight of each indicator showed an influential role. The presented framework was used to measure the level of complexity in 14 industrial projects. The results showed a high level of complexity in international projects being implemented by Iranian companies. Despite the difference in complexity management approach in these projects, commonalities were identified for which the proposed solutions can help other project managers achieve positive results for complexity management. With the help of the results of this research, project managers can have a framework for measuring complexity management and allow industry experts to prioritize and efficiently allocate their limited resources in complex projects.
Original Article
parvaneh yazdani; Ali Shirazi; Fariborz Rahimnia; Saeed Mortazavi
Articles in Press, Accepted Manuscript, Available Online from 01 October 2024
Abstract
The aim of this research is to identify the expected achievements of transformational global leadership in the extraterritorial activities of the Ministry of Energy in Iran. For this purpose, a qualitative method with an exploratory approach was used, and data was collected from 15 managers who were ...
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The aim of this research is to identify the expected achievements of transformational global leadership in the extraterritorial activities of the Ministry of Energy in Iran. For this purpose, a qualitative method with an exploratory approach was used, and data was collected from 15 managers who were selected through purposive sampling.The method of analyzing the collected data was thematic analysis. The findings indicate that the expected achievements of this leadership style at the organizational level encompass the achievement of the organizational vision and global objectives of the Ministry of Energy, the realization of its scientific goals, and the fulfillment of its economic objectives. At extra-organizational level, it includes achieving higher national income, sustainable development, and enhanced national security. Awareness of these achievements, which are explained based on the requirements, goals, and global missions of the Ministry of Energy, encourages the managers of this organization to consider transformational global leadership as an effective solution for addressing the challenges and issues ahead.This awareness can also have a significant impact on the decision-making of senior managers at the Ministry of Energy regarding the attraction, selection, and development of leadership talents within this organization.
Original Article
Seyed Kazem Chavoshi; Mojtaba Farrokh; mAHSHAD teimourian
Articles in Press, Accepted Manuscript, Available Online from 01 October 2024
Abstract
Using cognitive theories and behavioral sciences in the field of new businesses, the main purpose of this study is to analyze customer behavior in terms of their satisfaction, perceived usefulness, and confirmed expectations using a combination of financial self-efficacy and technology self-efficacy ...
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Using cognitive theories and behavioral sciences in the field of new businesses, the main purpose of this study is to analyze customer behavior in terms of their satisfaction, perceived usefulness, and confirmed expectations using a combination of financial self-efficacy and technology self-efficacy theories to leverage fintech services. In this research, after establishing the conceptual model, eleven research hypotheses were tested using partial least squares structural equation modeling (PLS-SEM) with a sample size of 205 customers of fintech businesses through an electronic questionnaire. The reliability and validity of the questionnaires were assessed and confirmed using Cronbach's alpha, composite reliability, and average variance extracted (AVE), and expert opinions familiar with the subject matter were consulted for content validity confirmation. This study enhances our understanding of the importance of financial and technological self-efficacies in the field of fintech, and elucidates their distinct impacts on users' intention to use fintech services. Additionally, this study uncovers intriguing findings in fintech user behavior and illustrates that these self-efficacies, by generating perceived usefulness and confirmng user expectations, can lead to satisfaction and, consequently, users' intention to use fintech.
Original Article
Zahra Sharafpour; Mahmoud Dehghan nayeri
Articles in Press, Accepted Manuscript, Available Online from 01 October 2024
Abstract
Universities face great challenges in scientific, technological, economic, and international fields. Considering these challenges helps to provide developmental capacities. Therefore, in this study, the risks in Iran's higher education industry have been identified and prioritized. To this aim, a list ...
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Universities face great challenges in scientific, technological, economic, and international fields. Considering these challenges helps to provide developmental capacities. Therefore, in this study, the risks in Iran's higher education industry have been identified and prioritized. To this aim, a list of related risks and risk groups in higher education was first identified by a deep literature review. Then the identified lists were completed and validated through interviews with experts (Delphi technique), after obtaining the convergence of experts, Fuzzy Synthetic Evaluation (FSE) based on FMEA was employed to prioritize risk factors and risk groups according to their criticality score which ultimately leads to the overall risk score. According to the results, the most critical risk in the higher education industry is "lack of meritocracy" the most vital risk group is "lack of good communication with the industry" and the critical degree of the overall risk is about 3.75, which indicates the necessity of the risks management in higher education and should be followed up by implementing preventive and control measures.
Original Article
Seyed Rahim Safavi Mirmahalleh; Mohammad Rahim Ramazanian; Mahmoud Moradi; Mostafa Ebrahimpour
Articles in Press, Accepted Manuscript, Available Online from 01 October 2024
Abstract
Introduction: The goal of this paper to explain and analyze the supply chain risks of Iran's pharmaceutical industry. In this research, the combined approach of meta-synthesis and thematic analysis has been used.Methodology: The approach of this research is qualitative. In the first stage, with a systematic ...
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Introduction: The goal of this paper to explain and analyze the supply chain risks of Iran's pharmaceutical industry. In this research, the combined approach of meta-synthesis and thematic analysis has been used.Methodology: The approach of this research is qualitative. In the first stage, with a systematic review of related studies in the last 23 years with a meta- synthesis approach, supply chain risks in the pharmaceutical industry were identified. For this purpose, first 100 articles were selected and after several stages of filtering, 26 final articles remained and became the basis of the research. In the next step, the supply chain risks of Iran's pharmaceutical industry were obtained by thematic analysis method. For this purpose, a semi-structured interview of Iranian pharmaceutical industry informants was conducted using the method of purposeful sampling and theoretical analysis, with thematic analysis approach. In the last stage, by combining the results of meta-synthesis and thematic analysis, its validity analysis with the method of Content validity ratio, ten risks were obtained as the final risks of Iran's pharmaceutical industry. Results and Discussion: Based on the results, the supply chain risks of Iran's pharmaceutical industry in order of priority are: environmental risks; problems of foreign currency supply and financial payments; lack of timely supply of raw materials; the complexity and incompatibility of information systems; low quality of raw materials and products; unavailability of medicine and its timely delivery; transportation and insurances; distribution sector technologies; Fluctuations in demand; Increase in the price of raw materials and medicine.Conclusion: Out of the ten risks obtained, environmental risks, problems of foreign exchange and financial payments, increase in the price of raw materials and medicine, and transportation and insurance, (due to having the highest frequency in both methods of meta-synthesis and thematic analysis) have a greater impact on the supply chain. Therefore, the stakeholders of Iran's pharmaceutical supply chain should focus on these risk factors and plan for their management in order to improve the performance of the supply chain.
Original Article
Adele Geravand; Kambiz Heidarzadeh Hanzaee; zohre dehdashti shahrokh; Mohammad Ali Abdolvand
Articles in Press, Accepted Manuscript, Available Online from 01 October 2024
Abstract
The Covid-19 pandemic has brought about dramatic changes in various aspects of people's lives around the world. These changes also affected consumer behavior. In order to be less exposed to the disease, people observed social distancing and took precautionary measures such as wearing a mask and disinfecting ...
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The Covid-19 pandemic has brought about dramatic changes in various aspects of people's lives around the world. These changes also affected consumer behavior. In order to be less exposed to the disease, people observed social distancing and took precautionary measures such as wearing a mask and disinfecting hands. The purpose of the current research is to identify the behavioral responses of consumers during the pandemic of Covid-19, buying and consuming food. In order to achieve the goal, a sequential-exploratory mix method was used. In the qualitative phase of phenomenology, 40 interviews were conducted with consumers in Tehran using purposeful sampling. In the quantitative phase, six hypotheses were proposed, and the data were collected through a questionnaire. The results of the research showed that consumers responded in a reactive, coping and long-term adaptation way during the pandemic. Also, these answers do not differ between men and women, different generations and married and single people. The pandemic has changed people's diet and consumers have reduced the consumption of unhealthy foods and switched to eating healthier foods. The Covid 19 pandemic caused significant changes in consumer behavior. Sensitivity to the shopping environment increased during the pandemic. The visiting physical stores less frequently and the consumer's shopping pattern has moved towards online shopping and telephone ordering. The consumers used to buy from supermarkets and stores near their also places of residence, and they stated that after the end of it in the post-Covid era, they would visit them.
Review Article
Mohammadreza Asadollahi; Seyed Reza Seyed Javadin; Mohsen Nazari
Articles in Press, Accepted Manuscript, Available Online from 01 October 2024
Abstract
With the growing popularity of online shopping, new challenges have emerged for consumers in choosing and purchasing the right products. Digital nudges, as innovative solutions, can help consumers make more informed and rational decisions in the online shopping process. Therefore, this research aims ...
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With the growing popularity of online shopping, new challenges have emerged for consumers in choosing and purchasing the right products. Digital nudges, as innovative solutions, can help consumers make more informed and rational decisions in the online shopping process. Therefore, this research aims to develop a framework for effective digital nudges in online shopping using a systematic literature review approach. The research method is qualitative and uses a systematic literature review approach. In this study, 255 articles were reviewed and finally, after several screening stages, 34 articles were selected and evaluated for final analysis. The research results show that digital nudges fall into four main categories: "Decision Information", "Decision Structure", "Decision Assistance" and "Social Decision Prompt". In the "Decision Information" category, nudges based on information, biases and cognitive effects, visual presentation and decision architecture were identified. In the "Decision Structure" category, factors such as complexity and structure of decision making, defaults and pre-selections, reinforcement and behavioral motivation, commitment and consistency, effort and cognitive load, substitution and change, cognitive and behavioral drivers, and monitoring and feedback were identified. In the "Decision Assistance" category, factors such as marketing and consumer behavior, psychological and economic theories, social influence and psychology, cognitive and exploratory biases, decision and information processing, and action and behavioral change were identified.Finally, in the "Social Decision Prompt" category, factors such as behavioral reinforcement, persuasion and social psychology, cognitive biases, motivational techniques, and focusing and highlighting decision were identified.
