Exploring AI-Driven Management: Impact on Organizational Performance, Decision Making, Efficiency, and Employee Engagement
DOI:
https://doi.org/10.37934/araset.52.2.148163Keywords:
AI-driven management, next-generation approaches, empirical study, strategic decision-making, operational efficiency, employee productivityAbstract
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.