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Global Multidisciplinary Journal

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Synergizing Business Intelligence and Artificial Intelligence for Competitive Advantage: A Multi-Dimensional Analysis of Organizational Resilience and Decision-Making Frameworks

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Dr. Gennarik L. Mortenkov 1 ,
4 Independent Researcher, High-Stakes AI Governance & Competitive Modelling, Johannesburg, South Africa

Abstract

In the contemporary landscape of digital transformation, the integration of Artificial Intelligence (AI) into Business Intelligence (BI) systems has emerged as a critical determinant of competitive advantage. This article presents a comprehensive analysis of how AI-driven analytics reshape organizational decision-making processes, enhance resilience, and drive sustainability. Drawing upon a systematic review of recent literature, we evaluate the transition from traditional descriptive reporting to predictive and prescriptive analytics. The study highlights the significant role of cognitive biases in decision-making and examines how intelligent systems can mitigate these human limitations. Furthermore, we investigate the impact of Big Data on sector-specific performance, with a focus on telecommunications and Small to Medium Enterprises (SMEs). Findings indicate that while the technical effectiveness of analytics platforms is paramount, the organizational culture regarding information security and Green Human Resource Management (GHRM) plays an equally vital role in sustaining long-term value. We conclude that the successful adoption of AI-enhanced BI requires a holistic approach that aligns technological capabilities with human cognitive frameworks and strategic sustainability goals.

Keywords

Business Intelligence, Artificial Intelligence, Competitive Advantage, Organizational Resilience

References

📄 Acciarini, C., Brunetta, F., & Boccardelli, P. (2021). Cognitive biases and decision-making strategies in times of change: a systematic literature review. Management Decision, 59(3), 638-652.
📄 Ahmad, H., Hanandeh, R., Alazzawi, F., Al-Daradkah, A., ElDmrat, A., Ghaith, Y., & Darawsheh, S. (2023). The effects of big data, artificial intelligence, and business intelligence on e-learning and business performance: Evidence from Jordanian telecommunication firms. International Journal of Data and Network Science, 7(1), 35-40.
📄 Ain, N., Vaia, G., DeLone, W. H., & Waheed, M. (2019). Two decades of research on business intelligence system adoption, utilization and success–A systematic literature review. Decision Support Systems, 125, 113113.
📄 Al-Okaily, A., Teoh, A. P., & Al-Okaily, M. (2023). Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis. Business Process Management Journal, 29(3), 777-800.
📄 Al tarawneh, E., Alqaraleh, M. H., Ali, B., & Bani Atta, A. (2023). The Impact of the Efficiency and Effectiveness of Electronic Accounting Information Systems on the Quality of Accounting Information. Information Sciences Letters, 12(3), 1685-1692.
📄 Alawadhi, S. A., Zowayed, A., Abdulla, H., Khder, M. A., & Ali, B. J. (2022). Impact of Artificial Intelligence on Information Security in Business. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
📄 Alhaj, A., Zanoon, N., Alrabea, A., Alnatsheh, H., Jawabreh, O., Abu-Faraj, M., & Ali, B. J. (2023). Improving the Smart Cities Traffic Management Systems using VANETs and IoT Features. Journal of Statistics Applications & Probability, 12(2), 405-414.
📄 Tamala JK, Maramag EI, Simeon KA, Ignacio JJ. A bibliometric analysis of sustainable oil and gas production research using VOSviewer. Clean Eng Technol. 2022. https://doi.org/10.1016/J.CLET.2022.100437.
📄 Aria M, Cuccurullo C. bibliometrix: an R-tool for comprehensive science mapping analysis. J Informet. 2017;11(4):959–75. https://doi.org/10.1016/J.JOI.2017.08.007.
📄 Dip Bharatbhai Patel. (2025). Leveraging BI for Competitive Advantage: Case Studies from Tech Giants. Frontiers in Emerging Engineering & Technologies, 2(04), 15–21. Retrieved from https://irjernet.com/index.php/feet/article/view/166
📄 Amrutha VN, Geetha SN. A systematic review on green human resource management: implications for social sustainability. J Clean Prod. 2020. https://doi.org/10.1016/j.jclepro.2019.119131.
📄 Faruk M, Rahman M, Hasan S. How digital marketing evolved over time: a bibliometric analysis on scopus database. Heliyon. 2021. https://doi.org/10.1016/J.HELIYON.2021.E08603.
📄 Aziz NNA, Samad S. Innovation and competitive advantage: moderating effects of firm age in foods manufacturing SMEs in Malaysia. Procedia Econ Finance. 2016;35:256–66. https://doi.org/10.1016/s2212-5671(16)00032-0.
📄 Simms C, McGowan P, Pickernell D, Vazquez-Brust D, Williams A. Uncovering the effectual-causal resilience nexus in the era of Covid-19: a case of a food sector SME’s resilience in the face of the global pandemic. Ind Mark Manage. 2022;106:166–82. https://doi.org/10.1016/j.indmarman.2022.08.012

How to Cite

Dr. Gennarik L. Mortenkov. (2025). Synergizing Business Intelligence and Artificial Intelligence for Competitive Advantage: A Multi-Dimensional Analysis of Organizational Resilience and Decision-Making Frameworks. Global Multidisciplinary Journal, 4(09), 14-20. https://www.grpublishing.org/journals/index.php/gmj/article/view/202

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