From Technology to Engagement: The Impact of AI on Job Characteristics and Employee Involvement (Published)
From the organizational learning perspective, this study investigates the impact of artificial intelligence (AI) technology transformation on job involvement in the hospitality industry. The rapid integration of AI in this sector has led to significant changes in job roles and organizational dynamics. Key questions are explored regarding the effects of transformation on organizational learning, employee job involvement, and the mediating role of different organizational learning models. Utilizing a comprehensive theoretical framework, including the Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT), and Job Characteristics Model (JCM), the research reveals that AI technology transformation, particularly through the Job Characteristics Model, redefines job function enriches job content, and imbues work with meaning, thereby enhancing employee job involvement. Additionally, flexible organizational structures, open communication, and encouragement of employee participation and innovation facilitate the rapid integration of AI. Finally, the findings of this study assist organizational decision-makers in identifying factors influencing employee job involvement in the competitive environment of advancing AI capabilities. This insight aids in developing strategies that promote positive employee experiences amidst AI integration, designing job content that aligns with employee and AI capabilities, and ultimately enhancing organizational operational efficiency.
Keywords: AI technology transformation, Job Involvement, Organizational Learning