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.
Authors
- Naga Kumari
- Hemanth Kumar Tummalapalli
- Swarup Kumar
- Addada Narasimha Rao
- G. V. Siva Kamal
Institutions
- Andhra University (IN)
- Rabindra Bharati University (IN)
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