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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Artificial Intelligence in Managerial Decision-Making: Enhancing Efficiency and Strategic Insight
Authors
Dr.K.Sudhakra Rao, Mr. Ramakrishna Bayana
Keywords
Artificial Intelligence, Managerial Decision-Making, Predictive Analytics, Machine Learning, Business Strategy, Data-Driven Management
Abstract
Artificial Intelligence (AI) has become a transformative tool in managerial decision-making, offering data-driven insights that enhance strategic, operational, and tactical efficiency. Managers today face increasing complexities due to dynamic market conditions, vast data generation, and the need for real-time decisions. AI-driven systems, through predictive analytics, machine learning (ML), and natural language processing (NLP), enable managers to optimize processes, forecast trends, and mitigate risks. This paper explores the integration of AI into managerial decision-making, its impact on efficiency, accuracy, and innovation, along with challenges such as ethical concerns, bias, and data privacy. The study concludes by highlighting future directions and the evolving human-machine collaboration in management.
IJCRT's Publication Details
Unique Identification Number - IJCRTBJ02027
Paper ID - 298174
Page Number(s) - 169-173
Pubished in - Volume 13 | Issue 12 | December 2025
DOI (Digital Object Identifier) - https://doi.org/10.56975/ijcrt.v13i12.298174
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Dr.K.Sudhakra Rao, Mr. Ramakrishna Bayana, "Artificial Intelligence in Managerial Decision-Making: Enhancing Efficiency and Strategic Insight", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 12, pp.169-173, December 2025, Available at :http://www.ijcrt.org/papers/IJCRTBJ02027.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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