AI-DRIVEN EMPLOYEE ENGAGEMENT: BALANCING AUTOMATION AND HUMAN CONNECTION IN BANI ENVIRONMENTS

Abstract

Introduction: Higher education is undergoing a transformation driven by technological advancements, evolving student expectations, and the complexities of BANI (Brittle, Anxious, Nonlinear, and Incomprehensible) environments. AI-powered technologies are being increasingly integrated into higher education institutions to enhance administrative efficiency, improve teaching quality, and support employee experiences. While these tools provide significant benefits, maintaining the human aspects of engagement remains critical in fostering a positive work culture.

Objectives: The research aims to examine the relationship between AI-driven automation and employee engagement in BANI environments. Then, to assess the impact of AI-driven human connection on employee well-being and trust in BANI environments.

Methods: The study is based on a quantitative research design with a descriptive approach. Cluster sampling is used to select the sample of employees working in diverse organizational settings that have implemented AI-driven tools. The structured questionnaires were analyzed to draw meaningful insights about the role of AI in employee engagement.

Results: The findings indicate that AI-driven tools significantly improve administrative efficiency and personalized learning experiences, reducing faculty workload and enhancing student support. However, concerns regarding over-reliance on automation, trust in AI systems, and the need for meaningful human interactions persist. Trust and collaboration emerged as crucial factors in maintaining a positive work culture, emphasizing the need for a balanced approach in AI integration.

Conclusion: AI-driven technologies offer substantial opportunities to enhance higher education, but preserving human engagement remains essential. Higher education leaders must adopt strategies that prioritize trust and collaboration, ensuring that AI serves as a tool to support rather than replace human interactions. The study provides insights and recommendations for integrating AI effectively while maintaining the core human connection vital to employee engagement.