Artificial Intelligence In Strategic Decision Making

Authors

  • Afrizal Zein Universitas Pamulang, Tangerang Selatan, Banten, Indonesia

DOI:

https://doi.org/10.51805/ijss.v1i1.311

Keywords:

Artificial Intelligence, DSS, strategic decisions

Abstract

Artificial Intelligence (AI) has become an increasingly important tool in strategic decision-making across a range of industry sectors. In an increasingly complex and uncertain world, AI offers the ability to analyze large amounts of data, identify patterns, and provide recommendations that can improve the quality of decisions made by managers and organizational leaders. The use of AI in strategic decision-making not only increases efficiency, but also enables more accurate planning and responsiveness to market changes. This article discusses various applications of artificial intelligence in supporting strategic decision-making, including in the areas of market forecasting, resource optimization, and long-term planning. In addition, this article also reviews the challenges and limitations in implementing AI, such as data quality, model reliability, and potential ethical risks. While AI can speed up and improve the decision-making process, it is important to still involve human perspectives in the final decision-making process to ensure that the policies taken still consider social, ethical, and environmental factors. By understanding the role and potential of AI in strategic decision-making, organizations can adopt this technology more effectively, increase competitiveness, and optimize future business outcomes.

References

Agarwal, A., & Bansal, M. (2021). AI-Driven Strategic Decision-Making in Global Supply Chains. Journal of Supply Chain Management, 57(6), 15-29. https://doi.org/10.1111/jscm.12256.

Chen, X., & Li, B. (2020). Machine Learning Algorithms for Improving Decision-Making in Corporate Strategy. Journal of Strategic Information Systems, 29(4), 101616. https://doi.org/10.1016/j.jsis.2020.101616

Garcia, L., & Hernandez, M. (2021). Artificial Intelligence and Its Impact on Strategic Decision-Making in Finance. International Journal of Financial Studies, 9(3), 45-58. https://doi.org/10.3390/ijfs9030045

Khan, M., & Islam, S. (2021). Leveraging Artificial Intelligence for Strategic Decision-Making: Insights from the Retail Industry. Journal of Retailing and Consumer Services, 60, 102423. https://doi.org/10.1016/j.jretconser.2021.102423

Lee, S., & Tan, K. (2022). Strategic Decision-Making in the Age of AI: Implications for Organizations. AI & Society, 37(4), 1005-1021. https://doi.org/10.1007/s00146-022-01334-7

Liu, T., & Zhang, X. (2021). AI-Based Strategic Decision-Making in Business: Opportunities and Challenges. Journal of Business Research, 136, 463-475. https://doi.org/10.1016/j.jbusres.2021.07.019

Patel, R., & Mehta, S. (2020). Utilizing AI for Decision Support in Strategic Management. International Journal of Strategic Management, 41(1), 49-61. https://doi.org/10.1016/j.ijsm.2020.02.001

Pugu, M. R., Riyanto, S., & Haryadi, R. N. (2024). Metodologi Penelitian; Konsep, Strategi, dan Aplikasi. PT. Sonpedia Publishing Indonesia.

Smith, R., & Wang, L. (2021). Artificial Intelligence in Strategic Business Decision-Making: A Case Study Approach. Technology Innovation Management Review, 11(7), 26-37. https://doi.org/10.22215/timreview/1469

Yoon, Y., & Park, S. (2021). Artificial Intelligence in Business Strategy: The Next Generation of Decision Support. Journal of Business & Technology, 34(2), 155-172. https://doi.org/10.1016/j.jbus.2020.10.003

Zeng, Y., & Yang, Y. (2022). Artificial Intelligence for Decision-Making: A Strategic Perspective. Journal of Decision Systems, 31(2), 109-120. https://doi.org/10.1080/12460125.2022.1813487

Zhang, W., & Sun, Z. (2021). AI-Powered Decision-Making for Strategic Planning in Healthcare Organizations. Health Systems, 10(3), 134-146. https://doi.org/10.1057/s41306-021-00116-3

Zhang, Y., & Lu, M. (2020). Deep Learning Models for Strategic Decision Support in Business. Expert Systems with Applications, 142, 112974. https://doi.org/10.1016/j.eswa.2019.112974

Downloads

Published

2025-02-12