Enhancing AI Engagement: Psychological Approaches to Motivate Employee Acceptance and Utilization von Prof. Dr. Susanne Wilpers (im Autorenteam)

Abstract

The rapid advancement of Artificial Intelligence (AI) offers organizations significant opportunities for enhanced efficiency, innovation, and competitiveness. However, successful AI integration depends on employee acceptance, often encountering resistance. A comprehensive strategy for managers is essential to gain AI acceptance and usage. This article uses the Unified Theory of Acceptance and Use of Technology (UTAUT) to frame technology acceptance determinants. We then incorporate insights and practical implications from Conformity, Expectancy, Self-Determination, Technology Threat Avoidance, and the Job Characteristics theories to provide a more comprehensive framework. These theories offer managers a practical approach to facilitate AI engagement and align goals with employees' aspirations. We recommend clear communication of AI benefits, alignment of employee needs with organizational goals, a supportive environment, and provision of necessary resources and training.

Friedman, B.A.; Tajvarpour, M.; Harms, A-K.; Eisele-Wijnbergen, D.; & Wilpers, S. (2024). Enhancing AI Engagement: Psychological Approaches to Motivate Employee Acceptance and Utilization. Journal of Business Management and Change, volume 23 (3) Fall, pp. 5-15. ISSN: 1967-6839.