INTEGRATING ARTIFICIAL INTELLIGENCE INTO STRATEGIC DECISION MAKING: A BIBLIOMETRIC ANALYSIS FOR FUTURE RESEARCH DIRECTIONS

Ilham Ramadan Pandu Setia Negara Siregar, Heni Setiyaningsih

Abstract


A bibliometric analysis was conducted to examine the integration of Artificial Intelligence (AI) in decision-making processes. The study aimed to identify research trends, patterns, and gaps as a foundation for future investigations. The method employed was the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), which consisted of data collection, inclusion criteria description, data extraction, and sample analysis across 40 Scopus-indexed articles. The findings indicate a shift in research trends toward the utilization of AI in strategic decision making. The implications, challenges, and research recommendations emphasize the need for developing more context-specific AI models, improved risk management, enhanced interpretability, data security and privacy protection, industry-specific machine learning applications, stronger human-AI integration, and the development of appropriate success metrics.

Keywords


Artificial Intelligence; Strategic Decision Making; Machine Learning; Bibliometric Analysis

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References


Allal-Chérif, O., Simón-Moya, V., & Ballester, A. C. C. (2021). Intelligent Purchasing: How Artificial Intelligence Can Redefine the Purchasing Function. Journal of Business Research, 124, 69–76. https://doi.org/10.1016/j.jbusres.2020.11.050

Al-Surmi, A., Bashiri, M., & Koliousis, I. (2022). 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

Antoncic M. (2020). A Paradigm Shift in the Board Room: Incorporating Sustainability Into Corporate Governance and Strategic Decision-Making Using Big Data and Artificial Intelligence. Journal of Risk Management in Financial Institutions, 13(4), 290–294.

Arumugam, U., & Manida, M. (2024). Enhancing Strategic Decision Making: Assessing the Role and Impact of Artificial Intelligence in Business Management. Journal of Business Analytics and Data Visualization, 5(1), 1–8.

Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An Integrated Artificial Intelligence Framework for Knowledge Creation and B2B Marketing Rational Decision Making for Improving Firm Performance. Industrial Marketing Management, 92, 178–189. https://doi.org/10.1016/j.indmarman.2020.12.001

Bahangulu, J. K., & Owusu-Berko, L. (2025). Algorithmic Bias, Data Ethics, and Governance: Ensuring Fairness, Transparency and Compliance in AI-Powered Business Analytics Applications. World Journal of Advanced Research and Reviews, 25(2), 1746–1763. https://doi.org/10.30574/wjarr.2025.25.2.0571

Chatterjee, S., Chaudhuri, R., Gupta, S., Sivarajah, U., & Bag, S. (2023). Assessing the Impact of Big Data Analytics on Decision-Making Processes, Forecasting, and Performance of a Firm. Technological Forecasting and Social Change, 196, 1–10. https://doi.org/10.1016/j.techfore.2023.122824

Citroen, C. L. (2011). The Role of Information in Strategic Decision-Making. International Journal of Information Management, 31(6), 493–501. https://doi.org/10.1016/j.ijinfomgt.2011.02.005

Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial Intelligence and Business Value: a Literature Review. Information Systems Frontiers, 24(5), 1709–1734. https://doi.org/10.1007/s10796-021-10186-w

George, B., & Wooden, O. (2023). Managing the Strategic Transformation of Higher Education through Artificial Intelligence. Administrative Sciences, 13(9), 196. https://doi.org/10.3390/admsci13090196

Geurts, A., Gutknecht, R., Warnke, P., Goetheer, A., Schirrmeister, E., Bakker, B., & Meissner, S. (2022). New Perspectives for Data-Supported Foresight: The Hybrid AI-Expert Approach. FUTURES & FORESIGHT SCIENCE, 4(1). https://doi.org/10.1002/ffo2.99

Haleem, A., Javaid, M., Asim Qadri, M., Pratap Singh, R., & Suman, R. (2022). Artificial Intelligence (AI) Applications for Marketing: A Literature-Based Study. International Journal of Intelligent Networks, 3, 119–132. https://doi.org/10.1016/j.ijin.2022.08.005

Hao, X., Demir, E., & Eyers, D. (2024). Exploring Collaborative Decision-Making: A Quasi-Experimental Study of Human and Generative AI Interaction. Technology in Society, 78, 1–22. https://doi.org/10.1016/j.techsoc.2024.102662

Hindarsah, I. (2023). Impact of Using Artificial Intelligence in Business Modeling. Journal of Economics and Business (JECOMBI), 4(1), 52–59.

Jayatilake, S. M. D. A. C., & Ganegoda, G. U. (2021). Involvement of Machine Learning Tools in Healthcare Decision Making. Journal of Healthcare Engineering, 2021(1), 1–20. https://doi.org/10.1155/2021/6679512

Johnson, J. (2023). Automating the OODA loop in the Age of Intelligent Machines: Reaffirming the Role of Humans in Command-and-Control Decision-Making in the Digital. Defence Studies, 23(1), 43–67. https://doi.org/10.1080/14702436.2022.2102486

Kagalwala, H., Radhakrishnan, G. V., Mohammed, I. A., Kothinti, R. R., & Kulkarni, N. (2025). Predictive Analytics in Supply Chain Management: The Role of AI and Machine Learning in Demand Forecasting. Advances in Consumer Research, 2(1), 142–149.

Khan, M. N., & Shao, Z. (2024). Impact of Big Data and Knowledge Management on Customer Interactions and Consumption Patterns: Applied Science Research Perspective. Engineering, Technology & Applied Science Research, 14(3), 14125–14133. https://doi.org/10.48084/etasr.7203

Kreps, S. (2023). Exploring the Artificial Intelligence “Trust Paradox”: Evidence from a Survey Experiment in the United States. PloS One, 18(7).

Lakhani, K. (2023). AI won’t replace humans–but humans with AI will replace humans without AI. Harvard Business Review, 4.

Maghrabie, H. F., Beauregard, Y., & Schiffauerova, A. (2019). Grey-based Multi-Criteria Decision Analysis approach: Addressing uncertainty at complex decision problems. Technological Forecasting and Social Change, 146, 366–379. https://doi.org/10.1016/j.techfore.2019.05.031

Marmier, F., Gourc, D., & Laarz, F. (2013). A Risk Oriented Model to Assess Strategic Decisions in New Product Development Projects. Decision Support Systems, 56(1), 74–82. https://doi.org/10.1016/j.dss.2013.05.002

Mesmari, S. Al. (2023). Transforming Data into Actionable Insights with Cognitive Computing and AI. Journal of Software Engineering and Applications, 16(06), 211–222. https://doi.org/10.4236/jsea.2023.166012

Mosqueira-Rey, E., Hernández-Pereira, E., Alonso-Ríos, D., Bobes-Bascarán, J., & Fernández-Leal, Á. (2023). Human-in-the-loop Machine Learning: A State of the Art. Artificial Intelligence Review, 56(4), 3005–3054. https://doi.org/10.1007/s10462-022-10246-w

Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. B. (2021). Organizational Business Intelligence and Decision Making Using Big Data Analytics. Information Processing & Management, 58(6), 1–13. https://doi.org/10.1016/j.ipm.2021.102725

Okongwu, U., Lauras, M., Dupont, L., & Humez, V. (2012). A Decision Support System for Optimising the Order Fulfilment Process. Production Planning & Control, 23(8), 581–598. https://doi.org/10.1080/09537287.2011.566230

Olan, F., Ogiemwonyi Arakpogun, E., Suklan, J., Nakpodia, F., Damij, N., & Jayawickrama, U. (2022). Artificial Intelligence and Knowledge Sharing: Contributing Factors to Organizational Performance. Journal of Business Research, 145, 605–615. https://doi.org/10.1016/j.jbusres.2022.03.008

Qudus, L. (2025). Leveraging Artificial Intelligence to Enhance Process Control and Improve Efficiency in Manufacturing Industries. International Journal of Computer Applications Technology and Research, 14(2), 18–38. https://doi.org/10.7753/IJCATR1402.1002

Riwayat, A. A. P., Susilawati, A. D., & Naqiah, Z. (2024). Purchasing Patterns Analysis in E-commerce: A Big Data-driven Approach and Methodological. International Journal Software Engineering and Computer Science (IJSECS), 4(1), 148–164. https://doi.org/10.35870/ijsecs.v4i1.2384

Schneider, S., & Leyer, M. (2019). Me or Information Technology? Adoption of Artificial Intelligence in the Delegation of Personal Strategic Decisions. Managerial and Decision Economics, 40(3), 223–231. https://doi.org/10.1002/mde.2982

Selvarajan, G. P. (2021). Harnessing AI-Driven Data Mining for Predictive Insights: A Framework for Enhancing Decision Making in Dynamic Data Environments. International Journal of Creative Research Thoughts (IJCRT), 9(2), 5476–5486.

Selvarajan, G. P. (2024). The Role of Machine Learning Algorithms in Business Intelligence: Transforming Data into Strategic Insights. International Journal of Advanced Research and Interdisciplinary Scientific Endeavours, 1(7), 391–400.

Shethiya, A. S. (2024). Adaptive Learning Machines: A Framework for Dynamic and Real-Time ML Applications. Annals of Applied Sciences, 5(1), 1–7.

Shu, X., & Ye, Y. (2023). Knowledge Discovery: Methods from data mining and machine learning. Social Science Research, 110, 1–16. https://doi.org/10.1016/j.ssresearch.2022.102817

Stone, M., Aravopoulou, E., Ekinci, Y., Evans, G., Hobbs, M., Labib, A., Laughlin, P., Machtynger, J., & Machtynger, L. (2020). Artificial Intelligence (AI) in Strategic Marketing Decision-making: A Research Agenda. The Bottom Line, 33(2), 183–200. https://doi.org/10.1108/BL-03-2020-0022

Tekic, Z., & Füller, J. (2023). Managing Innovation in the Era of AI. Technology in Society, 73, 102254. https://doi.org/10.1016/j.techsoc.2023.102254

Terán-Yépez, E., Marín-Carrillo, G. M., Casado-Belmonte, M. del P., & Capobianco-Uriarte, M. de las M. (2020). Sustainable Entrepreneurship: Review of its Evolution and New Trends. Journal of Cleaner Production, 252, 119742. https://doi.org/10.1016/j.jclepro.2019.119742

Vincent, V. U. (2021). Integrating Intuition and Artificial Intelligence in Organizational Decision-Making. Business Horizons, 64(4), 425–438. https://doi.org/10.1016/j.bushor.2021.02.008

Vudugula, S., Chebrolu, S. K., Bhuiyan, M., & Rozony, F. Z. (2023). Integrating Artificial Intelligence in Strategic Business Decision-Making: A Systematic Review of Predictive Models. International Journal of Scientific Interdisciplinary Research, 04(01), 01–26. https://doi.org/10.63125/s5skge53

Vukotich, G. (2023). Healthcare and Cybersecurity: Taking a Zero-Trust Approach. Health Services Insights, 16.

Yedalla, J. (2025). Building Cyber - Resilient Smart Cities: The Role of AI and Big Data in Urban Security. International Journal of Science and Research (IJSR), 14(2), 648–652. https://doi.org/10.21275/SR25210194541

Zadeh, E. K., Khoulenjani, A. B., & Safaei, M. (2024). Integrating AI for Agile Project Management: Innovations, Challenges, and Benefits. International Journal of Industrial Engineering and Construction Management, 1(1), 1–10.




DOI: https://doi.org/10.17509/mimbardik.v10i3.88029

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