Original Article
Maryam Zaeimi; esmaeil malek akhlagh; salman eivazinezhad
Volume 28, Issue 1 , April 2024, Pages 1-21
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
Mozhgan Sadat Masoudi; Amirali Foukerdi; Hadi Talkhabi; Seyed Kamran Ghoreishi; Gholamreza Ghadiri Ashkzari
Volume 28, Issue 1 , April 2024, Pages 23-47
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
Seyed Kazem Chavoshi; Mojtaba Farrokh; mAHSHAD teimourian
Volume 28, Issue 1 , April 2024, Pages 49-74
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
Amirali Moezzi; Ehsan Chitsaz; Majid Ahmadi
Volume 28, Issue 1 , April 2024, Pages 76-98
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
Sayyed Hesam Kashani; Ali Shaemi Barzoki; ali nasr Isfahani
Volume 28, Issue 1 , April 2024, Pages 100-129
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
Ebrahim Zarepour Nasirabadi; Neda Ghamaripoor
Volume 28, Issue 1 , April 2024, Pages 131-154
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
Volume 28, Issue 1 , April 2024, Pages 154-174
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.
