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

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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Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2024-09-21
DOI
https://doi.org/10.37934/araset.52.2.148163
Citations
5
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
2.45
Controls
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article

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

Naga Kumari, Hemanth Kumar Tummalapalli, Swarup Kumar, Addada Narasimha Rao et al.
5 citations
Journal of Advanced Research in Applied Sciences and Engineering Technology
Impact of AI and Big Data on Business and Society
2.45
article

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

Naga Kumari, Hemanth Kumar Tummalapalli, Swarup Kumar, Addada Narasimha Rao, G. V. Siva Kamal
article en
5 citations

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.

Journal of Advanced Research in Applied Sciences and Engineering Technology
Andhra University (IN), Rabindra Bharati University (IN)
Openalex Percentile: Top 10%
Impact of AI and Big Data on Business and Society
2.45
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Exploring AI-Driven Management: Impact on Organizational Performance, Decision Making, Efficiency, and Employee Engagement — Naga Kumari, Hemanth Kumar Tummalapalli, et al. · Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) | TGRS Research Map | TGRS