| Título | The good shepherd: linking artificial intelligence (AI)-driven servant leadership (SEL) and job demands-resources (JD-R) theory in tourism and hospitality |
|---|---|
| Autores | Radic, Aleksandar , Singh, Sonali , Singh, Nidhi , ARIZA MONTES, JOSÉ ANTONIO, Calder, Gary , Han, Heesup |
| Publicación externa | No |
| Medio | J. Hosp. Tour. Insight. |
| Alcance | Article |
| Naturaleza | Científica |
| Cuartil SJR | 1 |
| Fecha de publicacion | 12/11/2024 |
| ISI | 001352985100001 |
| DOI | 10.1108/JHTI-06-2024-0628 |
| Abstract | Purpose - This study illustrates the conceptual framework that expands the knowledge of the fundamental components that describe how AI-driven servant leadership (SEL) influences the job resources (JR), work engagement (WE) and job performance (JP) of tourism and hospitality employees. Design/methodology/approach - The empirical study was conducted on a sample of 953 international tourism and hospitality employees who were selected via a purposive and snowball sampling approach in a crosssectional survey. The analysis was performed using a partial least square-structural equation modeling. Findings - The results of this study confirmed the positive impact of AI-driven SEL on employee JR with the boundary conditions of AI-driven SEL. Practical implications - This study finding assists tourism and hospitality practitioners in understanding that in the near future, AI will have a major effect on the nature of work, including the impact on leadership styles. Hence, AI-driven SEL holds both positive (through direct impact on JR) and negative (via boundary conditions) impacts on employees\' JP and ultimately organizational success. Accordingly, managers should employ AI-driven SEL to increase employees\' JR, and once employees achieve high WE, they should constrict AI-driven SEL boundary conditions and their influence between JR and WE and WE and JP. Originality/value - This study offers a novel and original conceptual model that advances AI-driven social theory, SEL theory and job demands-resources (JD-R) theory by synthesizing, applying and generalizing gained knowledge in a methodical way. |
| Palabras clave | Artificial intelligence (AI); AI-driven servant leadership (SEL); Job demands-resources (JD-R); Work engagement; Job performance |
| Miembros de la Universidad Loyola |