Exploring AI-Driven Management: Impact on Organizational Performance, Decision Making, Efficiency, and Employee Engagement

Authors

  • Hemanth Kumar Tummalapalli Department of Business and Management Studies, Seshadri Rao Gudlavalleru Engineering College, Andhra Pradesh, India
  • Addada Narasimha Rao Department of Commerce and Management Studies, Andhra University, Visakhapatnam, Andhra Pradesh, India
  • Gangula Kamal Department of Business and Management Studies, Seshadri Rao Gudlavalleru Engineering College, Andhra Pradesh, India
  • Naga Kumari Department of Business and Management Studies, Seshadri Rao Gudlavalleru Engineering College, Andhra Pradesh, India
  • J. N. V. R. Swarup Kumar CSE, GST, GITAM Deemed to be University, Visakhapatnam, Andhra Pradesh, India

DOI:

https://doi.org/10.37934/araset.52.2.148163

Keywords:

AI-driven management, next-generation approaches, empirical study, strategic decision-making, operational efficiency, employee productivity

Abstract

This empirical study, conducted with a sample size of 180 respondents in selected organizations using a purposive sampling technique to target those known for advanced AI adoption, delved into the impact of AI-driven management on next-generation practices. In a rapidly evolving AI landscape, organizations integrated AI into management to optimize decision-making. Our mixed-methods approach, which included linear regression and exploratory factor analysis, revealed that AI significantly enhanced the accuracy of strategic decision-making and operational productivity. Furthermore, it played a pivotal role in fostering employee engagement, thereby promoting a collaborative work environment. This research, based on a purposive sample of 180 respondents in selected organizations, underscored AI’s transformative role in management, offering valuable insights for next-generation strategies and guiding future investigations in AI-driven management to enhance strategic decision-making.

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Author Biographies

Hemanth Kumar Tummalapalli, Department of Business and Management Studies, Seshadri Rao Gudlavalleru Engineering College, Andhra Pradesh, India

404.hemanth@gmail.com

Addada Narasimha Rao, Department of Commerce and Management Studies, Andhra University, Visakhapatnam, Andhra Pradesh, India

addada@rediffmail.com

Gangula Kamal, Department of Business and Management Studies, Seshadri Rao Gudlavalleru Engineering College, Andhra Pradesh, India

kamal0153@gmail.com

Naga Kumari, Department of Business and Management Studies, Seshadri Rao Gudlavalleru Engineering College, Andhra Pradesh, India

nagakumari73@gmail.com

J. N. V. R. Swarup Kumar, CSE, GST, GITAM Deemed to be University, Visakhapatnam, Andhra Pradesh, India

sjavvadi2@gitam.edu

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Published

2024-09-21

How to Cite

Hemanth Kumar Tummalapalli, Addada Narasimha Rao, Gangula Kamal, Naga Kumari, & Kumar, J. N. V. R. S. (2024). Exploring AI-Driven Management: Impact on Organizational Performance, Decision Making, Efficiency, and Employee Engagement. Journal of Advanced Research in Applied Sciences and Engineering Technology, 52(2), 148–163. https://doi.org/10.37934/araset.52.2.148163

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