IOSR-JBM   Volume-27 ~ Issue-6 ~ June 2025

Abstract: The digital transformation process has radically changed how organizations operate and compete. Technology is no longer just a supporting tool but has become a strategic driver that directly influences productivity, innovation, and decision-making capabilities. This article aims to analyze the role of modern information systems and digital technologies in optimizing organizational performance, particularly in contexts of volatility and complexity. Based on a synthesis of international theoretical frameworks and practical research, the paper identifies three main contributions of......

KeyWord: Digital transformation, information systems, organizational performance, digital strategy, technology adoption

[1]. Abdullah, M., Sulaiman, H., & Rahim, N. F. A. (2024). Service quality and information system success in public organizations. Information Systems Management, 41(2), 120–139. https://doi.org/10.1080/10580530.2023.2255555
[2]. Binns, R., Veale, M., Van Kleek, M., & Shadbolt, N. (2017). Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data. Big Data & Society. https://doi.org/10.1177/2053951717743530
[3]. Binns, R., Veale, M., Van Kleek, M., & Shadbolt, N. (2018). ‘It's reducing a human being to a percentage’: Perceptions of justice in algorithmic decisions. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3173574.3173951
[4]. Bravo, A., Won, D., & Hwang, H. (2015). Performance and technology: The influential role of tools in job performance models. Performance Improvement Quarterly, 28(4), 41–58. https://doi.org/10.1002/piq.21198
[5]. Brynjolfsson, E., & Hitt, L. (2000). Computing productivity: Are computers pulling their weight? Journal of Economic Perspectives, 14(4), 23–48. https://doi.org/10.1257/jep.14.4.23

Abstract: This study investigates generational differences in sustainable food consumption between Generation X (1965–1980) and Generation Y (1981–1996). Present environmental worsening conditions and biodiversity loss have made it essential to practice sustainable eating habits. Research employs quantitative cross-sectional evaluation by distributing surveys online to obtain data about food-related activities together with their causes and origins. The research utilized the combination of Onset Anova analysis with Pearson correlation to evaluate collected data. Data reveals that generations.....

Key Word: sustainable food habits, Generation X, Generation Y, generational comparison, environmental behavior, ethical consumption, dietary practices

[1]. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
[2]. Aschemann-Witzel, J., & Zielke, S. (2017). Can’t buy me green? A review of consumer perceptions of and behavior toward the price of organic food. Journal of Consumer Affairs, 51(1), 211–251. https://doi.org/10.1111/joca.12092
[3]. Dean, M., Raats, M. M., & Shepherd, R. (2012). The role of self-identity, past behavior, and their interaction in predicting intention to purchase fresh and processed organic food. Journal of Applied Social Psychology, 42(3), 669–688. https://doi.org/10.1111/j.1559-1816.2011.00796.x
[4]. Gleim, M. R., Smith, J. S., Andrews, D., & Cronin, J. J. (2013). Against the green: A multimethod examination of the barriers to green consumption. Journal of Retailing, 89(1), 44–61. https://doi.org/10.1016/j.jretai.2012.10.001
[5]. Henninger, C. E., Alevizou, P. J., & Oates, C. J. (2017). What is sustainable fashion? Journal of Fashion Marketing and Management, 21(1), 20–45. https://doi.org/10.1108/JFMM-07-2015-0052.

Abstract: Job performance is low in many organizations and economic sectors the world over. This is so even in organizations where there are huge investments in ICT infrastructure and developing staff competence in its use. Additionally, work-life conflict has been on the rise and has had a negative influence on employee performance. Therefore, this study sought to investigate the moderating effect of ICT competence on the influence of work-life conflict on job performance. The target population was the academic staff in public universities in Kenya, which was made up.....

Key Word: Work-life conflict, ICT competence, Moderating effect, Job performance

[1]. Ababneh, M. (2020). Linking Ontology, Epistemology and Research Methodology,
[2]. Science & Philosophy, 8(1), 75-91.
[3]. Abrahams, D. A. (2010). Technology Adoption in Higher Education: A Framework for Identifying and Prioritizing Issues and Barriers to Adoption of Instructional Technology. Journal of Applied Research in Higher Education, 2(2), 33–49.
[4]. Akkas, M. A., Hossain, M. I. & Rhaman, S. (2015). Causes and Consequences of Work-Family Conflict (WFC) among the Female Employees in Bangladesh: An Empirical Study. Journal of Business and Economics, 6(12), 2063–2071. https://doi.org/10.15341/jbe(2155-7950)/12.06.2015/007.
[5]. Ali, F., Ciftci, O., Nanu, L. Cobanoglu, C. & Ryu, K. (2021). Response Rates in Hospitality Research: An Overview of Current Practice and Suggestions for Future Research. Cornell Hospitality Quarterly,62(1), 105–120. Available at: https://journals.sagepub.com/doi/pdf/10.1177/1938965520943094

Abstract: This study aims to examine whether corporate governance mechanism affects financial distress. The corporate governance mechanism in this study is proxied by managerial ownership, institutional ownership, size of the board of directors, size of the board of commissioners, the proportion of independent commissioners, and the frequency of audit committee meetings. The population of this study is the trading, service, and investment sector companies listed on the Indonesia Stock Exchange in 2017-2020. The sample size obtained based on the non-random sampling.....

Key Word: financial distress, frequency of audit committee meetings, managerial ownership, size of the board of directors, and the proportion of independent commissioners.

[1]. Almilia, L. S. (2006). Prediction of Financial Distress Conditions for Go-Public Companies Using Multinomial Analysis. Journal of Economics and Business, 12(1), 1–26.
[2]. Aritonang, A. (2013). The Influence of Corporate Governance Practices and Ownership Structure on Possible Conditions of Company Financial Distress. Accounting Research Media, 3(2), p. 105-124.
[3]. Bodroastuti, T. (2009). The Influence of Corporate Governance Structure on Financial Distress. ASET Journal of Economics, 11(2), 36583.
[4]. Damayanti, novita dwi, & Kusumaningtias, R. (2020). The Effect of Corporate Governance on Financial Distress in the Infrastructure, Utilities and Transportation Services Company Sector on the Indonesia Stock Exchange for the 2015-2017 period. Unesa Journal of Accounting, 8(3), 1–9.
[5]. Deviacita, A. W., & Achmad, T. (2012). Analysis of the Effect of Good Corporate Governance Mechanisms on the Possibility of Financial Distress. Diponegoro Journal of Accounting, 4(3), 453–463.

Abstract: Background: The banking industry is crucial for global economic transformation, but its marketing performance has been slowing due to inadequate diversification strategies, changing customer and market dynamics, technological transformation, and unpredicted global shocks. The Covid-19 pandemic and 2008-2009 financial crises disrupted marketing activities, leading to decreased marketing performance of retail banking segment. The study specifically determined the effect of emotional marketing strategies on marketing performance of the retail banking segment......

Key Word: Experiential Marketing Strategies, Emotional Marketing Strategies, Marketing Performance

[1]. Alfiani, S. D., & Rachmawati, I. (2020). The Effect of Experiential marketing strategies and Brand Image on Customer Satisfaction. Almana: Jurnal Manajemen dan Bisnis, 4(2), 164-175.
[2]. Asenahabi, B. M. (2019). Basics of research design: A guide to selecting appropriate research design. International Journal of Contemporary Applied Researches, 6(5), 76-89.
[3]. Babaei, V. P., Zanjirchi, S. M., & Bani, M. N. (2017). Emotional intelligence and marketing effectiveness. International Journal of Information, Business and Management, 9(4), 167.
[4]. Bartolomé, E., Florensa, I., Bosch, M., & Gascón, J. (2019). A ‘study and research path’enriching the learning of mechanical engineering. European Journal of Engineering Education, 44(3), 330-346.
[5]. Blumberg, B., Cooper, D., & Schindler, P. (2014). EBOOK: Business research methods. McGraw Hill.
[5]. Henninger, C. E., Alevizou, P. J., & Oates, C. J. (2017). What is sustainable fashion? Journal of Fashion Marketing and Management, 21(1), 20–45. https://doi.org/10.1108/JFMM-07-2015-0052.

Abstract: In a world where Gen Z is setting the tone for digital behavior, understanding what drives their online purchase decisions isn’t just interesting—it’s necessary. This study explores the core factors that influence how Gen Z consumers interact with e-commerce platforms, with a focus on social media influence, perceived security, and purchase intent. Using data from 302 respondents, I found that while social media and security do matter, it’s purchase intent that acts as the real game-changer. Once Gen Z decides they want something, they usually go for it—fast. Interestingly....

Key Word: Social Media Influence, Perceived Security, Purchase Intent, Purchase, TPB, Resource based view

[1]. Alcaide-Muñoz, L., Rodríguez Bolívar, M. P., & López Hernández, A. M. (2017). E-government research in the academic field: A literature review and trends. Government Information Quarterly, 34(3), 447–464. https://doi.org/10.1016/j.giq.2017.04.006
[2]. Baptista, J., Wilson, A. D., Galliers, R. D., & Bynghall, S. (2017). Social media and the emergence of reflexiveness as a new capability for open strategy. Long Range Planning, 50(3), 322–336. https://doi.org/10.1016/j.lrp.2016.07.005
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[5]. Gil-Garcia, J. R., Dawes, S. S., & Pardo, T. A. (2018). Digital government and public management research: Finding the crossroads. Public Management Review, 20(5), 633–646. https://doi.org/10.1080/14719037.2017.1327181