Relationships among Emotional and Material Rewards, Job Satisfaction, Burnout, Affective Commitment, Job Performance, and Turnover Intention in the Hotel Industry
By Bonhak Koo, Jongsik Yu, Bee‐Lia Chua, Sanghyeop Lee, Heesup Han. Journal of Quality Assurance in Hospitality & Tourism, 2020
186 citations recorded by the source corpus.
ABSTRACT This study was designed to identify the intricate associations among emotional rewards (compliment, opportunity, empowerment, and recognition), material rewards (promotion, certificate, incentive, and special leave), job satisfaction, burnout, affective commitment, job performance, and turnover intention in the hotel sector. A field survey method with a quantitative approach was used. Our results from multiple regression analysis revealed that emotional and material rewards and their dimensions are of importance in the formation of affective commitment, job performance, and turnover intention. In addition, findings from the series of mediation analysis revealed that job satisfaction and burnout played a complete/partial mediating role within the proposed theoretical framework. Overall, this research can help hotel researchers better understand the role of rewards and help practitioners develop an efficient reward system for hotel employees.
Subfields: Organizational Behavior and Human Resource Management, Social Psychology
View Paper: https://www.semanticscholar.org/paper/145d9066bd1f484a6f813ac99443babee864c9d5
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In Organizational Behavior and Human Resource Management
Citations in the corpus
- Impact of employee empowerment on organizational commitment through job satisfaction in four and five stars hotel industry (2021, background): “The most desirable job creates a job satisfaction and disliked job leads toward job dissatisfaction (Koo et al., 2020).”
- The Relationship Between “Job Satisfaction” and “Job Performance”: A Meta-analysis (2021, unknown): “As can be seen from the funnel plot, there is no good symmetry in the distribution of Table 4 Statistics of the studies # First author's name References Point estimate Lower limit Upper limit Z-Value p-Value 1 Gerlach (Gerlach, 2019) 0.240 0.161 0.316 5.834 0.000 2 Abbas (Abbas et al., 2019) 0.480 0”