Do job resources foster optimism, work engagement, and financial turnover? A diary study among Greek fast food restaurant employees

2006 ◽  
Author(s):  
D. Xanthopoulou ◽  
A. B. Bakker ◽  
E. Demerouti ◽  
W. B. Schaufeli
2021 ◽  
Author(s):  
N Alia Fahada W Ab Rahman ◽  
◽  
Monizaihasra Mohamed ◽  
Farizah Sulong ◽  
◽  
...  

This study examines the adoption of service robots by fast-food restaurant employees. Adopting the Unified Theory of Acceptance and Use of Technology (UTAUT), this study proposes four determinants of intention to use: performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC). The role of culture was also considered to examine its role in moderating the influencing factors. The data was collected from Malaysian fast-food restaurant employees and analysed using the Statistical Package for Social Sciences (SPSS) and the Smart-PLS software. The findings showed that intention to use service robots is primarily influenced by performance expectancy and social influence. Additionally, culture also has a significant effect as moderating factor on the relationship between social influence and intention to use service robots in a fast-food restaurant setting. Lastly, a discussion on the contributions and implications are presented.


2015 ◽  
Vol 14 (2) ◽  
pp. 70-79 ◽  
Author(s):  
Simon L. Albrecht

The job demands-resources (JD-R) model provides a well-validated account of how job resources and job demands influence work engagement, burnout, and their constituent dimensions. The present study aimed to extend previous research by including challenge demands not widely examined in the context of the JD-R. Furthermore, and extending self-determination theory, the research also aimed to investigate the potential mediating effects that employees’ need satisfaction as regards their need for autonomy, need for belongingness, need for competence, and need for achievement, as components of a higher order needs construct, may have on the relationships between job demands and engagement. Structural equations modeling across two independent samples generally supported the proposed relationships. Further research opportunities, practical implications, and study limitations are discussed.


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