The moderating effect of digital transformation on the influence of job satisfaction of frontline hotel staff on employee engagement
DOI:
https://doi.org/10.52152/22.3.80-88(2024)Keywords:
Job Satisfaction • Employee Engagementt • Digital Technology Transconformation • Questionnaire Survey • Hotel Frontline EmployeesAbstract
The rapid transformation of the global business landscape has highlighted the vital role of employee engagement in achieving organizational success, particularly in the hotel industry characterized by fierce competition and rapidly evolving customer expectations. This study explores the dynamic mechanism by which job satisfaction of frontline hotel employees influences their engagement levels, while deeply analyzing the moderating effect of digital transformation on this relationship. Data were collected through questionnaire surveys from 700 frontline employees at Jinjiang hotels, yielding 600 valid questionnaires with an effective response rate of 85%. The data analysis employed descriptive statistics, reliability and validity analysis, correlation analysis, and regression analysis. Results indicate that job satisfaction is significantly positively correlated with employee engagement (r = 0.729, P < 0.01), while digital transformation similarly exhibits a significant positive correlation with employee engagement (r = 0.753, P < 0.01). Regression analysis further reveals that job satisfaction has a significant positive effect on employee engagement (coefficient = 0.836, P < 0.001), and digital transformation also positively impacts employee engagement (coefficient = 0.804, P < 0.001). More importantly, interaction term analysis demonstrates that digital transformation positively moderates the relationship between job satisfaction and employee engagement (coefficient = 0.078, P < 0.001), indicating that digital transformation enhances the positive influence of job satisfaction on employee engagement. This study enriches related research by incorporating digital transformation as a moderating variable in the analytical framework, providing new perspectives for hotel management practice. Limitations include the cross-sectional design's inability to establish causality, while future research could adopt longitudinal designs and explore the differential impacts of various types of digital technologies.
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