Understanding How Ai-Enabled Hrm Practices Influence Intrapreneurial Behavior: A Conceptual Framework

Abstract

The integration of artificial intelligence (AI) into human resource management (HRM) represents a major transformation in how organizations manage their workforce, while intrapreneurial behavior has become a key source of innovation and competitive advantage. This study develops a conceptual framework on the relationship between AI-enabled HRM practices and intrapreneurial behavior informed by a selective review of existing empirical literature across diverse industries and geographical contexts, drawing on quantitative, qualitative, and mixed-method studies. Grounded in Self-Determination Theory, the proposed framework suggests that AI-enabled HRM practices foster intrapreneurial behavior through four key psychological mechanisms: employee autonomy, psychological safety, self-efficacy, and employee exploration. These mechanisms enable employees to generate innovative ideas, recognize opportunities, take initiative, engage in calculated risk-taking, and develop networks that support intrapreneurial activities. The framework further proposes that organizational culture and firm size shape the strength of these relationships by influencing the extent to which AI-enabled HRM practices can be effectively translated into innovative employee behaviors. The framework also recognizes the dual nature of AI implementation, which can enhance employee capabilities while also raising concerns such as job insecurity. Overall, this study integrates fragmented literature into a unified, literature grounded framework and provides directions for future research and managerial practice in AI-enabled HRM and intrapreneurship