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  Published Paper Details:

  Paper Title

Artificial Intelligence in Management: A Study on Its Role, Adoption, and Managerial Implications

  Authors

  Manisha Garg,  Devishi Garg

  Keywords

Artificial Intelligence, Management, Decision Making, Technology Adoption, Organizational Performance

  Abstract


Artificial Intelligence (AI) has emerged as a transformative force in modern management, reshaping decision-making processes, operational efficiency, and strategic planning. The integration of AI-driven tools enables managers to analyze large volumes of data, predict trends, and improve organizational performance. This research paper examines the role of Artificial Intelligence in management practices and analyzes managerial perceptions regarding its adoption and impact. The study is based on primary data collected from 158 respondents across various managerial levels and sectors. Descriptive and demographic analyses were used to interpret the data. The findings indicate that AI significantly enhances decision accuracy, productivity, and resource optimization, while concerns related to skills gaps and ethical challenges persist. The study provides valuable insights for managers, policymakers, and organizations aiming to leverage AI for sustainable competitive advantage.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2512553

  Paper ID - 298902

  Page Number(s) - e904-e912

  Pubished in - Volume 13 | Issue 12 | December 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Manisha Garg,  Devishi Garg,   "Artificial Intelligence in Management: A Study on Its Role, Adoption, and Managerial Implications", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 12, pp.e904-e912, December 2025, Available at :http://www.ijcrt.org/papers/IJCRT2512553.pdf

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Call For Paper December 2025
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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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