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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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Tummalapalli et al. (Sat,) studied this question.
www.synapsesocial.com/papers/68e57c15b6db64358751b059 — DOI: https://doi.org/10.37934/araset.52.2.148163
Hemanth Kumar Tummalapalli
Addada Narasimha Rao
G. V. Siva Kamal
Journal of Advanced Research in Applied Sciences and Engineering Technology
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