Moderating effect of top management support on the relationship between job satisfaction and intention to leave among middle level managers of SMEs in Dubai, UAE
In Dubai, United Arab Emirate (UAE), Small and Medium Enterprises (SMEs) in the construction sector have a shortfall of 500,000 skilled employees because of lack of job satisfaction and top management support, which prompt workers to leave their places of employment. Though, literature showed that m...
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| 主要作者: | |
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| 格式: | Thesis |
| 语言: | eng eng |
| 出版: |
2019
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| 主题: | |
| 在线阅读: | https://etd.uum.edu.my/8053/1/s96066_01.pdf https://etd.uum.edu.my/8053/2/s96066_02.pdf |
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| 总结: | In Dubai, United Arab Emirate (UAE), Small and Medium Enterprises (SMEs) in the construction sector have a shortfall of 500,000 skilled employees because of lack of job satisfaction and top management support, which prompt workers to leave their places of employment. Though, literature showed that many studies had investigated the connection between job satisfaction and intention to leave. However, literature is limited on the effect of a moderator on this relationship. Hence, prior studies only investigated the effect of personal characteristics such as gender, age, tenure, qualification on the job satisfaction and intention to leave relationship. Thus, this study investigates the effect of top management support (TMS) as organizational factor on the relationship between job satisfaction and intention to leave among middle level managers in the construction sector of Dubai, UAE. Based on this, 12 research questions and research objectives were formulated. Accordingly, 12 research hypotheses were postulated. The first set of hypotheses were on the direct relationship between the 6 facets of job satisfaction (satisfaction with supervisor, satisfaction with closure, satisfaction with variety, satisfaction with co-workers, satisfaction with compensation and satisfaction with HR policies) and intention to leave. While, the second set of the hypotheses were on the effect of top management support on the relationship between the 6 facets of job satisfaction and intention to leave. To test the relationship among variables, this study adopts a quantitative design and data was collected from 120 middle level managers of SMEs. Whereas, Partial Least Squares – Structural Equation Modelling (PLS-SEM) technique was adopted in the data analysis. According to the outcome, the relationship between 4 facets of job satisfaction and intention to leave among middle level managers of SMEs was established. As well, the study has found statistical support on the moderating effect of TMS on the relationship between 2 facets of
job satisfaction and intention to leave among middle level managers of SMEs. The study highlighted limitation and suggestion for future research direction. |
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