Shahid Beheshti UniversityJournal of Business Management Perspective2251-6050236020250219A Critical Analysis of the Influence of Generative Artificial Intelligence and the Dominance of Impact Factor and Citation Metrics on Content Creation and the Evaluation of Journals and ResearchersA Critical Analysis of the Influence of Generative Artificial Intelligence and the Dominance of Impact Factor and Citation Metrics on Content Creation and the Evaluation of Journals and Researchers11910571810.48308/jbmp.2025.239878.1672FABahmanHajipourAssociate Professor Department of Business Management, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran0000-0001-8972-4002Journal Article20250228Digitalization has fundamentally transformed ways of life, work, communication, and organization, leading to significantly reduced publishing costs and a remarkable increase in the number of journals and articles in the field of science. These transformations have also been accompanied by the emergence of quantitative metrics such as Journal Impact Factor (JIF) and citations in Google Scholar, which have disrupted traditional assessments of scientific output. Academic evaluation systems, underpinned by the notion of “publish or perish,” have driven researchers to produce more articles and encouraged problematic practices such as fake citations and outsourced article production. Generative artificial intelligence, by automating research tasks, exacerbates these trends and poses serious threats to the academic community. This article examines the challenges and changes brought about by digitalization and algorithmic management in scientific publishing. It discusses the negative impacts of dependence on these technologies on skills and academic community. Given these challenges, it is essential to maintain deep intellectual engagement and develop research skills. The article also offers recommendations for strengthening social interactions and establishing scientific standards in the face of pressures from profit-driven publishing.Digitalization has fundamentally transformed ways of life, work, communication, and organization, leading to significantly reduced publishing costs and a remarkable increase in the number of journals and articles in the field of science. These transformations have also been accompanied by the emergence of quantitative metrics such as Journal Impact Factor (JIF) and citations in Google Scholar, which have disrupted traditional assessments of scientific output. Academic evaluation systems, underpinned by the notion of “publish or perish,” have driven researchers to produce more articles and encouraged problematic practices such as fake citations and outsourced article production. Generative artificial intelligence, by automating research tasks, exacerbates these trends and poses serious threats to the academic community. This article examines the challenges and changes brought about by digitalization and algorithmic management in scientific publishing. It discusses the negative impacts of dependence on these technologies on skills and academic community. Given these challenges, it is essential to maintain deep intellectual engagement and develop research skills. The article also offers recommendations for strengthening social interactions and establishing scientific standards in the face of pressures from profit-driven publishing.https://jbmp.sbu.ac.ir/article_105718_6835aa5842f0e4afee8c1d3146f74267.pdfShahid Beheshti UniversityJournal of Business Management Perspective2251-6050236020250219Designing a sustainable consumer behavior model with a good digital governance approach in the banking industry (Case study: Parsian Bank)Designing a sustainable consumer behavior model with a good digital governance approach in the banking industry (Case study: Parsian Bank)204410569210.48308/jbmp.2025.237722.1645FASamiraFarajiPH.D. Student of Business Management, Department of Management, Za.c., Islamic Azad University, Zanjan, Iran0009-0008-2334-6123HomaDoroudiAssociate Prof., Department of Management, Za.c., Islamic Azad University, Zanjan, Iran0000-0003-1635-7330FiroozeHajialiakbariAssistant Prof., Department of Management, Za.c., Islamic Azad University, Zanjan, Iran0000-0002-3369-8906ArshadFarahmandianAssistant Prof., Department of Management, Za.c., Islamic Azad University, Zanjan, Iran0000-0002-2559-834XJournal Article20241125The purpose of this article is to design a model of sustainable consumer behavior with a good digital governance approach in the banking industry (case study: Parsian Bank). In this article, the research method is grounded theory with a qualitative approach. MaxQuda 2020 software was used for data analysis. The sampling method was purposive (judgmental). For the validity of the interview questions, the derived categories were shown to the interviewees at each stage of data collection and analysis to confirm the accuracy of the content. The validity score was 91%. The percentage of agreement between the two coders was used to assess the reliability of the interviews. The results and findings of the research show that creating sustainable consumer behavior with an emphasis on good digital governance in Parsian Bank. Designing a sustainable consumer behavior model with a good digital governance approach in Parsian Bank is not only influenced by cultural, social, economic, and political governance, but also by organizational values that support the formation of responsible behavior, the macro and strategic goals of Parsian Bank, the expansion of new digital technologies at the banking level, and the level of education of the society. It was also determined that creating sustainable consumer behavior with a good digital governance approach is explained through managing digital assets in the bank, providing personalized services, reviewing digital policies, creating secure digital banking channels, and continuous education and awareness.The purpose of this article is to design a model of sustainable consumer behavior with a good digital governance approach in the banking industry (case study: Parsian Bank). In this article, the research method is grounded theory with a qualitative approach. MaxQuda 2020 software was used for data analysis. The sampling method was purposive (judgmental). For the validity of the interview questions, the derived categories were shown to the interviewees at each stage of data collection and analysis to confirm the accuracy of the content. The validity score was 91%. The percentage of agreement between the two coders was used to assess the reliability of the interviews. The results and findings of the research show that creating sustainable consumer behavior with an emphasis on good digital governance in Parsian Bank. Designing a sustainable consumer behavior model with a good digital governance approach in Parsian Bank is not only influenced by cultural, social, economic, and political governance, but also by organizational values that support the formation of responsible behavior, the macro and strategic goals of Parsian Bank, the expansion of new digital technologies at the banking level, and the level of education of the society. It was also determined that creating sustainable consumer behavior with a good digital governance approach is explained through managing digital assets in the bank, providing personalized services, reviewing digital policies, creating secure digital banking channels, and continuous education and awareness.https://jbmp.sbu.ac.ir/article_105692_833d4db87006bf2c3fb76a9036eff355.pdfShahid Beheshti UniversityJournal of Business Management Perspective2251-6050236020250219The Impact of Influencers on Followers’ Travel Intentions with the Mediating Role of Brand Perception in the Tourism SectorThe Impact of Influencers on Followers’ Travel Intentions with the Mediating Role of Brand Perception in the Tourism Sector457310569710.48308/jbmp.2025.238994.1663FAAbolfazlKhosraviAssociate Professor and Faculty Member of Accounting and Management Faculty, Farabi College, University of Tehran, Qom, Iran.0000-0001-6618-1105Sareh SadatRahmaniMaster's student in Information Technology Management, Faculty of Management and Accounting, Farabi College, University of Tehran, Qom, Iran0009-0005-1115-9062Mohammad RezaFathiAssociate Professor and Faculty Member of Accounting and Management Faculty, Farabi College, University of Tehran, Qom, Iran.0000-0002-7973-9814Journal Article20250301In today’s digital world, influencer marketing is recognized as one of the key marketing strategies in the tourism industry. Influencers play a significant role in shaping brand perception and influencing followers' travel intentions. This study aims to examine the impact of influencers’ travel experiences, travel recommendations, and content effectiveness on followers’ brand perception and travel intention. The research is applied in nature and adopts a descriptive-analytical methodology. Data were collected using a questionnaire with confirmed validity and reliability, and analyzed through Structural Equation Modeling (SEM) using SmartPLS software. The statistical population consisted of social media users interested in travel, and convenience sampling was employed. The results indicate that travel experiences, travel recommendations, and influencer content effectiveness have a significant and positive impact on brand perception. Moreover, brand perception serves as a mediating variable that strengthens the influence of these factors on followers’ travel intention. Additionally, trust in influencers and the quality of generated content play a crucial role in enhancing travel motivation and user engagement with tourism brands. Accordingly, tourism brands can improve their digital marketing strategies and increase their impact on consumers’ travel decision-making by effectively collaborating with credible influencers.In today’s digital world, influencer marketing is recognized as one of the key marketing strategies in the tourism industry. Influencers play a significant role in shaping brand perception and influencing followers' travel intentions. This study aims to examine the impact of influencers’ travel experiences, travel recommendations, and content effectiveness on followers’ brand perception and travel intention. The research is applied in nature and adopts a descriptive-analytical methodology. Data were collected using a questionnaire with confirmed validity and reliability, and analyzed through Structural Equation Modeling (SEM) using SmartPLS software. The statistical population consisted of social media users interested in travel, and convenience sampling was employed. The results indicate that travel experiences, travel recommendations, and influencer content effectiveness have a significant and positive impact on brand perception. Moreover, brand perception serves as a mediating variable that strengthens the influence of these factors on followers’ travel intention. Additionally, trust in influencers and the quality of generated content play a crucial role in enhancing travel motivation and user engagement with tourism brands. Accordingly, tourism brands can improve their digital marketing strategies and increase their impact on consumers’ travel decision-making by effectively collaborating with credible influencers.https://jbmp.sbu.ac.ir/article_105697_f685f0de9e5faf5352a1710b01fbfe3c.pdfShahid Beheshti UniversityJournal of Business Management Perspective2251-6050236020250219Identifying and Classifying Factors Affecting the Development of Export Performance of Livestock Products Using the Importance-Performance Technique and Exploratory Factor AnalysisIdentifying and Classifying Factors Affecting the Development of Export Performance of Livestock Products Using the Importance-Performance Technique and Exploratory Factor Analysis7410510571210.48308/jbmp.2025.238517.1660FAMohammad HosseinKhasmafkan-NezamAssistant Prof., Department of Management, Faculty of Economics, Management and Social Sciences, Shiraz University, Shiraz, Iran.MostafaAllahverdiPhd of Business Management, Faculty of management and accounting, Allameh Tabataba’i Uuiversity, Tehran, Iran.SajadKhaniCommerce and Trade faculty, Management College, University of Tehran, Tehran, Iran.0009-0009-7856-6534Journal Article20250126In today's global economy, the growth of exports and the performance of companies in this sector are critical factors emphasized by governments. To enhance the export performance of companies, governments are designing and implementing various programs. This study aims to identify and classify the factors influencing the development of export performance in the livestock products sector. To achieve this objective, managers and senior employees of companies engaged in livestock product exports were selected as the statistical population. A semi-closed questionnaire was employed to gather relevant data. The Importance-Performance Analysis method was utilized to address the research questions, while exploratory factor analysis was conducted to categorize the factors affecting export performance. The findings revealed that 39 indicators significantly influence the development of export performance, which can be grouped into four main areas. Additionally, the results indicated that these indicators can be further categorized into 11 distinct factors, accounting for an explained variance of 83.298 percent.In today's global economy, the growth of exports and the performance of companies in this sector are critical factors emphasized by governments. To enhance the export performance of companies, governments are designing and implementing various programs. This study aims to identify and classify the factors influencing the development of export performance in the livestock products sector. To achieve this objective, managers and senior employees of companies engaged in livestock product exports were selected as the statistical population. A semi-closed questionnaire was employed to gather relevant data. The Importance-Performance Analysis method was utilized to address the research questions, while exploratory factor analysis was conducted to categorize the factors affecting export performance. The findings revealed that 39 indicators significantly influence the development of export performance, which can be grouped into four main areas. Additionally, the results indicated that these indicators can be further categorized into 11 distinct factors, accounting for an explained variance of 83.298 percent.https://jbmp.sbu.ac.ir/article_105712_69dbc4410e9e44d8fa70fa6261b72838.pdfShahid Beheshti UniversityJournal of Business Management Perspective2251-6050236020250508Design and Testing of a Sustainable Marketing Model with an Industrial Ecosystem Approach for the Iranian Oil Terminals CompanyDesign and Testing of a Sustainable Marketing Model with an Industrial Ecosystem Approach for the Iranian Oil Terminals Company10613510571310.48308/jbmp.2025.239082.1664FAHosseinYaghobizadehPhD Student, Department of Business Administration, Central Tehran Branch, Islamic Azad University, Tehran, Iran.SoheilSarmadsaidyAssistant Professor, Department of Business Administration, Central Tehran Branch, Islamic Azad University, Tehran, Iran0009-0002-8716-7454BehroozGhasemiAssistant Professor, Department of Business Administration, Central Tehran Branch, Islamic Azad University, Tehran, Iran.0000-0001-6185-5035Journal Article20250308Objective: <br />The present study aimed to design and explain a sustainable marketing model with an industrial ecology approach in Iranian oil terminal companies.<br />Methodology:<br />This study is a descriptive research with a cross-sectional survey approach in terms of its applied-developmental purpose and in terms of its data collection method. The participant population includes theoretical experts and empirical experts With the theoretical sampling method and after reaching theoretical saturation, 18 experts finally participated in the qualitative part. In the quantitative part, the perspective of managers and experts of Iranian oil terminal companies was used, and the sample size was estimated at 150 people using the power analysis method. For data analysis in the qualitative part, the grounded theory method with Maxqda software was used, and in the quantitative part, the partial least squares method with Smart PLS software was used.<br />Findings: <br />In the findings section, in the open coding stage, 991 codes were initially identified, with duplicate codes removed and synonyms combined. Finally, 6 selective codes, 13 axial codes, and 71 open codes were obtained using a systematic method.<br />Conclusion: <br />Based on the research results, it was determined that causal conditions (industrial coexistence, industrial co-competition, response to customer , and intra-organizational sustainability) affect the central phenomenon (sustainable marketing). The central phenomenon, contextual conditions (industrial ecology and sustainability infrastructure), intervening conditions (political issues and government sanctions) affect strategies actions (industrial ecology strategy). Ultimately, strategies and actions lead to outcomes (company productivity and effectiveness, stakeholder customer satisfaction, corporate social responsibility, andcorporate environmental responsibility).Objective: <br />The present study aimed to design and explain a sustainable marketing model with an industrial ecology approach in Iranian oil terminal companies.<br />Methodology:<br />This study is a descriptive research with a cross-sectional survey approach in terms of its applied-developmental purpose and in terms of its data collection method. The participant population includes theoretical experts and empirical experts With the theoretical sampling method and after reaching theoretical saturation, 18 experts finally participated in the qualitative part. In the quantitative part, the perspective of managers and experts of Iranian oil terminal companies was used, and the sample size was estimated at 150 people using the power analysis method. For data analysis in the qualitative part, the grounded theory method with Maxqda software was used, and in the quantitative part, the partial least squares method with Smart PLS software was used.<br />Findings: <br />In the findings section, in the open coding stage, 991 codes were initially identified, with duplicate codes removed and synonyms combined. Finally, 6 selective codes, 13 axial codes, and 71 open codes were obtained using a systematic method.<br />Conclusion: <br />Based on the research results, it was determined that causal conditions (industrial coexistence, industrial co-competition, response to customer , and intra-organizational sustainability) affect the central phenomenon (sustainable marketing). The central phenomenon, contextual conditions (industrial ecology and sustainability infrastructure), intervening conditions (political issues and government sanctions) affect strategies actions (industrial ecology strategy). Ultimately, strategies and actions lead to outcomes (company productivity and effectiveness, stakeholder customer satisfaction, corporate social responsibility, andcorporate environmental responsibility).https://jbmp.sbu.ac.ir/article_105713_40f783e43e61163ab0d3803ff3c91636.pdfShahid Beheshti UniversityJournal of Business Management Perspective2251-6050236020250508Identification and Prioritization of Factors Affecting Financial and Investment Decisions (Case Study: Generation Z Investors)Identification and Prioritization of Factors Affecting Financial and Investment Decisions (Case Study: Generation Z Investors)13616110571610.48308/jbmp.2025.232989.1542FAMohammad HosseinPouraskariPh.D. Candidate in Marketing Management, Faculty of Management & Economics, Tarbiat Modares University, Tehran, Iran0000-0001-5515-9252Seyed HamidKhodadad HosseiniProf., Faculty of Management & Economics, Tarbiat Modares University, Tehran, Iran0000-0001-7435-3632AsadollahKordnaeijProfessor in Business Management, Faculty of Management and Economics, Tarbiat Modares University0000-0003-0540-6141FereshtehMansouri MoayyedAssociate Prof., Faculty of Management & Economics, Tarbiat Modares University, Tehran, Iran0000-0001-9810-7815Journal Article20230902Objective: This study aimed to identify and prioritize the factors influencing the financial and investment decisions of Generation Z, based on behavioral finance theory. This theory emphasizes that investor behavior is not solely driven by rational factors but is also significantly influenced by cognitive, emotional, and social dimensions.<br />Method: This research employed a mixed-methods approach (qualitative-quantitative). In the qualitative phase, interviews were conducted with 23 financial and investment experts, and thematic analysis of the data revealed 26 basic themes and 9 organizing themes. In the quantitative phase, a questionnaire based on the qualitative findings was designed and, after validation by experts, distributed among 384 Generation Z investors. Data analysis was performed using SPSS and Excel software, employing descriptive statistics and one-sample t-tests.<br />Findings: The study findings showed that the most important factors affecting the financial and investment decisions of Generation Z investors are security and support, profitability, ease of investment, following past experiences, knowledge and awareness, following others, and advertising atmosphere.<br />Conclusion: As emerging digital-native investors, Generation Z requires a distinct approach to engagement and guidance. The findings indicate that this generation's decision-making drivers differ from conventional assumptions in finance. This study serves as an initial step toward understanding their financial behavior and designing strategies tailored to their characteristicsObjective: This study aimed to identify and prioritize the factors influencing the financial and investment decisions of Generation Z, based on behavioral finance theory. This theory emphasizes that investor behavior is not solely driven by rational factors but is also significantly influenced by cognitive, emotional, and social dimensions.<br />Method: This research employed a mixed-methods approach (qualitative-quantitative). In the qualitative phase, interviews were conducted with 23 financial and investment experts, and thematic analysis of the data revealed 26 basic themes and 9 organizing themes. In the quantitative phase, a questionnaire based on the qualitative findings was designed and, after validation by experts, distributed among 384 Generation Z investors. Data analysis was performed using SPSS and Excel software, employing descriptive statistics and one-sample t-tests.<br />Findings: The study findings showed that the most important factors affecting the financial and investment decisions of Generation Z investors are security and support, profitability, ease of investment, following past experiences, knowledge and awareness, following others, and advertising atmosphere.<br />Conclusion: As emerging digital-native investors, Generation Z requires a distinct approach to engagement and guidance. The findings indicate that this generation's decision-making drivers differ from conventional assumptions in finance. This study serves as an initial step toward understanding their financial behavior and designing strategies tailored to their characteristicshttps://jbmp.sbu.ac.ir/article_105716_8493662892d33f586f1af8975e9be522.pdf