The Next Frontier: Exploring AI-Driven Business Strategic Decision Making

Authors

  • Roongta J Former Postgraduate Student, Postgraduate and Research Dept of Commerce, St. Xavier's College (Autonomous), Kolkata, India
  • Roongta J Student, Dept of Commerce (Morning), St. Xavier's College (Autonomous), Kolkata, India

Keywords:

Artificial Intelligence, Business Strategies, Organizational Performance, Strategic Decision-Making

Abstract

Strategic decision-making counts to be the foundation of existence and future orientation of a business. With the onset of inducement of Artificial Intelligence (AI) across varied functionality domains of a business, it has turned out to be a transformative force which holds immense potential of reshaping the contemporary business landscape. Driving innovation and efficiency, AI-driven strategic decision-making in businesses, is exerting influence on various organizational parameters and decision domains. A comprehensive study was undertaken to explore the significant role of AI in enhancing decision accuracy, efficiency, and competitiveness. Key findings reveal a diverse representation of respondents across age groups, genders, and employment designations, reflecting the broad applicability of AI-driven decision-making across organizational hierarchies and sectors. Descriptive statistics showcase a strong performance in decision-making and risk management, while inferential statistics and correlation analysis affirm the significant influence of AI across four major business domains as proposed via a comprehensive model in this research. The study offers practical recommendations for effectively exploiting the superiority of AI through comprehensive training programs, clear ethical guidelines, and strengthened data governance practices amongst others. This research contributes to advancing academic knowledge and providing actionable insights for managers and policymakers seeking to capitalize on AI-driven strategic decision-making in the digital age.

References

Al-Surmi, A., Bashiri, M., & Koliousis, I. (2021). AI based decision making: combining strategies to improve operational performance. International Journal of Production Research, 60(14), 4464–4486. https://doi.org/10.1080/00207543.2021.1966540

De Fátima Soares Borges, A., Laurindo, F. J. B., De Mesquita Spínola, M., Gonçalves, R. F., & De Mattos, C. A. (2021). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management, 57, 102225. https://doi.org/10.1016/j.ijinfomgt.2020.102225

Gonesh, C., Menon, R., Paulin, M., Yerasuri, S., Saha, H., & Dongol, P. (2023). The impact of artificial intelligence on business strategy and Decision-Making processes. European Economic Letters. https://doi.org/10.52783/eel.v13i3.386

Gupta, K., Mane, P., Rajankar, O. S., Bhowmik, M., Jadhav, R., Yadav, S., Rawandale, S., & Chobe, S. V. (2023, August 16). Harnessing AI for strategic Decision-Making and business performance optimization. https://ijisae.org/index.php/IJISAE/article/view/3360

Kaggwa, S., Eleogu, T. F., Okonkwo, F., Farayola, O. A., Uwaoma, P. U., & Akinoso, A. E. (2024). AI in Decision Making: Transforming Business Strategies. International Journal of Research and Scientific Innovation, X(XII), 423–444. https://doi.org/10.51244/ijrsi.2023.1012032

Kitsios, F., & Kamariotou, M. (2021). Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda. Sustainability, 13(4), 2025. https://doi.org/10.3390/su13042025

Lin, W., Lin, S., & Yang, T. (2017). Integrated business prestige and artificial intelligence for corporate decision making in dynamic environments. Cybernetics and Systems, 48(4), 303–324. https://doi.org/10.1080/01969722.2017.1284533

Miller, R. (2023). The role of machine learning and artificial intelligence in strategic management. Social Science Research Network. https://doi.org/10.2139/ssrn.4392353

Prasanth, A., Vadakkan, D. J., Surendran, P., & Thomas, B. (2023). Role of artificial intelligence and business decision making. International Journal of Advanced Computer Science and Applications, 14(6).

Rajagopal, N. K., Qureshi, N. I., Durga, S., Asis, E. H. R., Soto, R. M. H., Gupta, S. K., & Deepak, S. (2022). Future of Business Culture: An Artificial Intelligence-Driven Digital Framework for Organization Decision-Making Process. Complexity, 2022, 1–14. https://doi.org/10.1155/2022/7796507

Unhelkar, B., & Gonsalves, T. (2020). Enhancing artificial intelligence decision making frameworks to support leadership during business disruptions. IT Professional, 22(6), 59–66. https://doi.org/10.1109/mitp.2020.3031312

Wamba-Taguimdje, S., Wamba, S. F., Kamdjoug, J. R. K., & Wanko, C. E. T. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893–1924. https://doi.org/10.1108/bpmj-10-2019-0411

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Published

2024-07-25

How to Cite

Roongta, J., & Roongta, J. (2024). The Next Frontier: Exploring AI-Driven Business Strategic Decision Making. Journal of Academic Advancement, 3(01), 50–60. Retrieved from https://jaa.kbsaa.org/index.php/j/article/view/43

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Section

Research Articles