ISSN: 2226-3624
Open access
The integration of Artificial Intelligence (AI) in business decision-making has significantly transformed organizational management, enabling faster, data-driven, and more strategic outcomes. This study examines the legal, ethical, and strategic implications of AI adoption in corporate governance, emphasizing transparency, accountability, and sustainability. A conceptual analysis and synthesis of recent empirical literature were conducted to explore how AI influences business ethics, legal compliance, and strategic performance. The results indicate that organizations incorporating AI within structured ethical and legal frameworks demonstrate enhanced decision accuracy, reduced operational bias, and improved long-term sustainability. Furthermore, AI-driven systems guided by responsible governance not only strengthen stakeholder trust but also contribute to achieving competitive advantage and sustainable growth. The study concludes that responsible and ethically aligned AI adoption can serve as a strategic pillar for future business transformation.
Aleessawi, N., & Djaghrouri, L. (2025). Artificial intelligence in decision-making: Literature review. Journal of Applied Research and University Education.
Csaszar, F. A. (2024). Artificial intelligence and strategic decision-making: Evidence from firms. INFORMS Transactions on Strategy Science, 5(2), 1–15.
Ouabouch, B., & Yahyaoui, T. (2025). Artificial intelligence and corporate governance: A review of recent literature. International Journal of Strategic Management and Economic Studies, 4(1), 45–63.
Papagiannidis, S., Mogaji, E., & Lytras, M. (2025). Responsible artificial intelligence governance: A review and research agenda. Technological Forecasting and Social Change, 208, 123981.
Neiroukh, S., Emeagwali, O. L., & Aljuhmani, H. Y. (2024). Business analytics capabilities and decision quality: The mediating roles of decision speed and comprehensiveness. Management Decision.
Mirishli, S. (2025). The role of legal frameworks in shaping ethical artificial intelligence use in corporate governance.
Aleessawi, N., & Djaghrouri, L. (2025). Artificial intelligence in decision-making: Literature review. Journal of Applied Research and University Education.
Batool, A., Zowghi, D., & Bano, M. (2024). Responsible AI governance: A systematic literature review. arXiv.
Csaszar, F. A. (2024). Artificial intelligence and strategic decision-making: Evidence from firms. INFORMS Transactions on Strategy Science, 5(2), 1–15.
Mirishli, S. (2025). The role of legal frameworks in shaping ethical artificial intelligence use in corporate governance. arXiv.
Neiroukh, S., Emeagwali, O. L., & Aljuhmani, H. Y. (2024). Business analytics capabilities and decision quality: The mediating roles of decision speed and comprehensiveness. Management Decision.
Ouabouch, B., & Yahyaoui, T. (2025). Artificial intelligence and corporate governance: A review of recent literature. International Journal of Strategic Management and Economic Studies, 4(1), 45–63.
Bhattacharjee, A., & Juman, M. K. I. (2020). Does delay or scarcity in working capital increase unexpected financial risk for women entrepreneurs in the developing country. International Journal of Economics, Commerce and Management, 8(8), 433–446.
Papagiannidis, S., Mogaji, E., & Lytras, M. (2025). Responsible artificial intelligence governance: A review and research agenda. Technological Forecasting and Social Change, 208, 123981.
Aleessawi, N., & Djaghrouri, L. (2025). Artificial intelligence in decision-making: Literature review. Journal of Applied Research and University Education.
Juman, M. K. I., Yeasmin, K. F., Chowdhury, M. T. I., Karim, A. M., & Chowdhury Synthia, T. I. (2025). Sustainable business transformation: Design guidelines for integrating conceptual ethics in sustainability business evaluation in Dhaka, Bangladesh. International Journal of Academic Research in Economics and Management Sciences, 14(3), 849–869.
Batool, A., Zowghi, D., & Bano, M. (2024). Responsible AI governance: A systematic literature review. arXiv.
Csaszar, F. A. (2024). Artificial intelligence and strategic decision-making: Evidence from firms. INFORMS Transactions on Strategy Science, 5(2), 1–15.
Bhattacharjee, A., Bansal, V., & Juman, M. K. I. (2021). COVID-19 emergency: Faux healthcare service causes distress and life dissatisfaction. Asian Journal of Medicine and Health, 18(12), 53–61.
Mirishli, S. (2025). The role of legal frameworks in shaping ethical artificial intelligence use in corporate governance. arXiv.
Neiroukh, S., Emeagwali, O. L., & Aljuhmani, H. Y. (2024). Business analytics capabilities and decision quality: The mediating roles of decision speed and comprehensiveness. Management Decision.
Ouabouch, B., & Yahyaoui, T. (2025). Artificial intelligence and corporate governance: A review of recent literature. International Journal of Strategic Management and Economic Studies, 4(1), 45–63.*
Polas, M. R. H., Juman, M. K. I., Karim, A. M., Tabash, M. I., & Hossain, M. I. (2020). Do service quality dimensions increase the customer brand relationship among Gen Z? The mediation role of customer perception between the service quality dimensions (SERVQUAL) and brand satisfaction. International Journal of Advanced Science and Technology, 29(4), 1050–1070.
Papagiannidis, S., Mogaji, E., & Lytras, M. (2025). Responsible artificial intelligence governance: A review and research agenda. Technological Forecasting and Social Change, 208, 123981.
Aleessawi, N., & Djaghrouri, L. (2025). Artificial intelligence in decision-making: Literature review. Journal of Applied Research and University Education.
Bhattacharjee, A., Ghosh, A., Juman, M. K. I., & Hossen, M. (2024). Augmented intelligence for knowledge management and green education in the post-COVID-19 era. In Integrating generative AI in education to achieve sustainable development goals (pp. 47–71). IGI Global.
Hossain, A., Khan, M. Y. H., Hossain, M. M., Rony, M. B., Juman, M. K. I., Sultana, F., & Rahaman, A. (2024). E-shopping decisions during the COVID-19 pandemic in Bangladesh: The mediating role of consumers’ psychology. Environment and Social Psychology, 9(9), 2966.
Csaszar, F. A. (2024). Artificial intelligence and strategic decision-making: Evidence from firms. INFORMS Transactions on Strategy Science, 5(2), 1–15.
Hassani, H., Silva, E. S., & Unger, S. (2025). Artificial intelligence and analytics capability: Drivers of strategic decision-making in digital enterprises. Journal of Business Research, 172, 114328.
Ouabouch, B., & Yahyaoui, T. (2025). Artificial intelligence and corporate governance: A review of recent literature. International Journal of Strategic Management and Economic Studies, 4(1), 45–63.
Juman, M. K. I., Chowdhury, M. T. I., Siam, I. I. C., Yeasmin, K. F., Chowdhury Synthia, T. I., & Bhuiyan, M. M. I. (2025). Artificial intelligence and the transformation of educational access and equity: A critical study of technological inclusion in South Asia’s learning ecosystem. International Journal of Academic Research in Business and Social Sciences, 15(11), 52–82.
Singh, A., Rana, N. P., & Dwivedi, Y. K. (2024). Developing artificial intelligence capability for digital transformation in organisations. Information Systems Frontiers.
Mirishli, S. (2025). The role of legal frameworks in shaping ethical artificial intelligence use in corporate governance. arXiv.
O’Neil, C. (2024). Weapons of math regulation: How algorithms shape compliance and accountability. Oxford University Press.
Sun, T., Liu, Y., & Wang, K. (2024). Legal and ethical challenges in AI-driven decision-making: An emerging framework for regulatory compliance. Computer Law & Security Review, 53, 105014.
Juman, M. K. I., Jalil, A., Yeasmin, K. F., Tamanna, N., Roy, T. C., & Jahan, I. (2025). AI-driven EdTech innovations for workforce reskilling: Bridging education and business needs. International Journal of Academic Research in Business and Social Sciences, 15(11), 808–829.
Batool, A., Zowghi, D., and Bano, M. (2024). Responsible AI governance: A systematic literature review. arXiv.
Hassani, H., Silva, E. S., and Unger, S. (2025). Artificial intelligence and analytics capability: Drivers of strategic decision-making in digital enterprises. Journal of Business Research, 172, 114328.
Yeasmin, K. F., Juman, M. K. I., Chowdhury, M. T. I., Chowdhury Synthia, T. I., Hossain, M., & Jalil, A. (2025). Towards sustainable AI: Green accounting-based model for measuring the environmental cost of intelligent systems. International Journal of Academic Research in Accounting, Finance & Management Sciences, 15(4), 156–181.
Papagiannidis, S., Mogaji, E., and Lytras, M. (2025). Responsible artificial intelligence governance: A review and research agenda. Technological Forecasting and Social Change, 208, 123981.
Aleessawi, N., and Djaghrouri, L. (2025). Artificial intelligence in decision-making: Literature review. Journal of Applied Research and University Education.
Csaszar, F. A. (2024). Artificial intelligence and strategic decision-making: Evidence from firms. INFORMS Transactions on Strategy Science, 5(2), 1–15.*
Juman, M. K. I., Chowdhury, M. T. I., Karim, A. M., Chowdhury Synthia, T. I., & Ruma, I. J. (2025). The nexus of ESG practices and sustainable firm success: Evidence from Bangladesh’s banking sector. International Journal of Academic Research in Business and Social Sciences, 15(9), 1601–1618.
Neiroukh, S., Emeagwali, O. L., and Aljuhmani, H. Y. (2024). Business analytics capabilities and decision quality: The mediating roles of decision speed and comprehensiveness. Management Decision.
Juman, M. K. I., Hyder, M. N. A., Rahaman, M., & FarhanaYeasmin, K. (2025). Artificial Intelligence in Business Decision Making: Legal, Ethical, & Strategic Implications. International Journal of Academic Research in Economics and Management Sciences, 14(4), 301–322.
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