MRI
MRI India Journals Vol. 15 No. 1 (2026)

Artificial Intelligence in Management Practices: A New Era of Smart Decision-Making

Authors

  • Rajendra Kumar Department of Management, Shivalik College of Engineering Dehradun
  • Anshika Aggarwal Faculty of Commerce & Management, Pt. L.M.S Campus Rishikesh, Sri Dev Suman Uttarakhand University
  • Ritesh Kandari Department of Computer Science, S C Guria IMT College of Management and Higher Studies, Kumaun University, Nainital
  • A. Anantharam Department of Commerce and Business Management, Osmania University, Hyderabad
  • Vivek Anand Singh Department of Commerce & Management, Teerthanker Mahaveer University, Moradabad, U.P

DOI:

https://doi.org/10.65521/ijrdmr.v15i1.3155

Keywords:

Artificial Intelligence Management Practices Strategic Decision-Making AI Adoption

Abstract

Artificial Intelligence is changing the way modern organizations manage decisions, operations, and innovation. This study reviews how AI technologies are reshaping strategic decision-making in contemporary management practices and identifies the major opportunities linked with AI adoption. Based on secondary sources, the paper highlights that AI supports managers through predictive analytics, automation, real-time dashboards, and data-driven insights. These tools help organizations move from traditional intuition-based decisions toward faster, more accurate, and evidence-based strategic choices. The review also shows that AI improves productivity, financial performance, operational efficiency, customer personalization, and innovation capability. On the other hand, the research suggests that artificial intelligence should not be considered a substitute for human judgment in its entirety.. Its real value lies in decision augmentation, where machine intelligence supports managerial experience.

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Published

2026-05-27

How to Cite

Kumar, R., Aggarwal, A., Kandari, R., Anantharam, A., & Singh, V. A. (2026). Artificial Intelligence in Management Practices: A New Era of Smart Decision-Making. International Journal on Research and Development - A Management Review, 15(1), 743–749. https://doi.org/10.65521/ijrdmr.v15i1.3155

Issue

Section

Articles