AI-ENABLED DECISION-MAKING FRAMEWORKS FOR MODERN ORGANIZATIONAL MANAGEMENT

Authors

  • Krunal Suthar,Yogesh Patel,Mitul Patel.Parth Dave,Adesh Panchal

Keywords:

Artificial Intelligence (AI), Strategic Decision-Making, Predictive Analytics, Data-Driven Insights, AI Integration Framework

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology that revolutionizes strategic decision-making within organizations. By harnessing vast datasets and applying advanced computational methods, AI enhances the precision, speed, and adaptability of business decisions. This paper explores the multifaceted role of AI in shaping strategic decisions through predictive analytics, optimization, and real-time insights. The discussion covers its applications across various domains such as supply chain management, customer relationship management, risk mitigation, and innovation. A comprehensive literature review highlights methodologies, benefits, and challenges associated with AI integration.The proposed methodology outlines a systematic approach to leveraging AI for strategic decisions, encompassing data acquisition, model training, system integration, and monitoring for ethical compliance. Concluding with recommendations, this paper serves as a guide for organizations seeking to align AI capabilities with long-term strategic objectives.

References

Agarwal, P. S., Roy, A. S., & Gupta, T. R. (2023). Predictive analytics in supply chain optimization: A big data approach. Springer Advances in Business Operations, 25, 102115.

Ahmed, M. S., & Yadav, K. R. (2023). Real-time fraud detection using big data analytics: A survey. IEEE Transactions on Artificial Intelligence, 8(2), 56-69.

Ali, S. M., & Yadav, D. (2023). Fraud detection in e-commerce: A big data approach using machine learning. IEEE Transactions on Computational Social Systems, 8(5), 895-907.

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Published

2023-12-05

How to Cite

Krunal Suthar,Yogesh Patel,Mitul Patel.Parth Dave,Adesh Panchal. (2023). AI-ENABLED DECISION-MAKING FRAMEWORKS FOR MODERN ORGANIZATIONAL MANAGEMENT . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 839–849. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1760

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