The relationships between pre and post-entry expectation, perceived performance and turnover intention of life insurance agents in China
The objective of the study was to identify how and why a group of individuals is satisfied with becoming a life insurance agent after a joining action. Seven hypotheses were employed to find the answers. The exploratory study used a quantitative approach, and the data were collected following the no...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/17908/7/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/17908/8/FULLTEXT.pdf |
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| Summary: | The objective of the study was to identify how and why a group of individuals is satisfied with becoming a life insurance agent after a joining action. Seven hypotheses were employed to find the answers. The exploratory study used a quantitative approach, and the data were collected following the non-probability sampling strategy. A total of 457 usable questionnaires were collected from around 11315 to 21070 of the total population. The statistical software environment R version 3.1.0 was used for the data analysis. The descriptive statistics demonstrated the nature of the population. The average variance extracted (AVE) was added at the reliability analysis stage to ensure good validity and reliability of the data. The hypotheses were tested by observing whether O lies between the 0.025 percentile and the 0.975 percentile. The fit index of endogenous variables was reported by employing the R² value, and exhibiting it together with the redundancy and communality values. The f² value represents the effect size of the moderator. The goodness of fit (GoF) shows the appropriateness of the research framework. Response based unit segmentation (REBUS) analysis was introduced to detect the unobserved clusters. As a result, all the hypotheses obtained a significant beta value; however, hypothesis one and hypothesis seven only received weak beta values. The GoF of the framework was 83 percent. The REBUS analysis showed that the research has very good generalization power. The study has extended the expectation confirmation theory from marketing research to the human resource topics. Rarely tested relationships such as hypothesis one and hypothesis four were examinated in the study. A t-test and an f-test were employed to determine whether the Chinese version of the questionnaire was equal to the English version of the questionnaire, and for the process of deciding whether a latent variable was formative or reflective scale types were an unusual approach compared with the previous studies. REBUS, a relatively newly developed technique was also employed to the study. All the hypotheses were accepted. The study suggests that the industry needs to take care of its image to rebuild trust among the public. Companies need to consider the needs of their employees' family and friends, since the employees might be influenced by them as well. |
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