Drivers of work engagement among managers in Malaysia manufacturing industry
Throughout this whole research, this study investigates on how job autonomy, personal resources and perceived organization support will affect the work engagement of the managers in the manufacturing industry in Malaysia. One of the main purposes of this research is to identify the variables that wi...
| Main Authors: | , , , , |
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/3515/ http://eprints.utar.edu.my/3515/1/fyp_BA_2019_LYS.pdf |
| _version_ | 1848885921684914176 |
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| author | Lee, Yen Shean Lim, Seng Hian Ngeow, Pei Hsin Praveena, Selvalingam Yow, Mei Yi |
| author_facet | Lee, Yen Shean Lim, Seng Hian Ngeow, Pei Hsin Praveena, Selvalingam Yow, Mei Yi |
| author_sort | Lee, Yen Shean |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | Throughout this whole research, this study investigates on how job autonomy, personal resources and perceived organization support will affect the work engagement of the managers in the manufacturing industry in Malaysia. One of the main purposes of this research is to identify the variables that will affect the working engagement of the managers in the manufacturing industry. This research carried out to recognize which of the independent variables (Job Autonomy, Personal Resources and Perceived Organizational Resources) will affect most to the dependent variable (Work Engagement). The specific objective of the research is to identify whether there is a significant relationship between job autonomy, personal resources, perceived organizational support towards the work engagement of managers. In this research, 400 sets of questionnaire prepared and distributed to the target respondents who are working in manufacturing industries. After the data collected, Statistical Analysis System Enterprise 7.1 (SAS) was used to test the data in order to generate the result. The finding of this research shows that independent variables are positive associated with dependent variable. Through the reliability test, Pearson Correlation Coefficient and Multiple Linear Regression has used to determine the relationship between the IVs and DV. |
| first_indexed | 2025-11-15T19:30:17Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-3515 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:30:17Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-35152019-08-15T06:45:11Z Drivers of work engagement among managers in Malaysia manufacturing industry Lee, Yen Shean Lim, Seng Hian Ngeow, Pei Hsin Praveena, Selvalingam Yow, Mei Yi HD Industries. Land use. Labor Throughout this whole research, this study investigates on how job autonomy, personal resources and perceived organization support will affect the work engagement of the managers in the manufacturing industry in Malaysia. One of the main purposes of this research is to identify the variables that will affect the working engagement of the managers in the manufacturing industry. This research carried out to recognize which of the independent variables (Job Autonomy, Personal Resources and Perceived Organizational Resources) will affect most to the dependent variable (Work Engagement). The specific objective of the research is to identify whether there is a significant relationship between job autonomy, personal resources, perceived organizational support towards the work engagement of managers. In this research, 400 sets of questionnaire prepared and distributed to the target respondents who are working in manufacturing industries. After the data collected, Statistical Analysis System Enterprise 7.1 (SAS) was used to test the data in order to generate the result. The finding of this research shows that independent variables are positive associated with dependent variable. Through the reliability test, Pearson Correlation Coefficient and Multiple Linear Regression has used to determine the relationship between the IVs and DV. 2019-04-05 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/3515/1/fyp_BA_2019_LYS.pdf Lee, Yen Shean and Lim, Seng Hian and Ngeow, Pei Hsin and Praveena, Selvalingam and Yow, Mei Yi (2019) Drivers of work engagement among managers in Malaysia manufacturing industry. Final Year Project, UTAR. http://eprints.utar.edu.my/3515/ |
| spellingShingle | HD Industries. Land use. Labor Lee, Yen Shean Lim, Seng Hian Ngeow, Pei Hsin Praveena, Selvalingam Yow, Mei Yi Drivers of work engagement among managers in Malaysia manufacturing industry |
| title | Drivers of work engagement among managers in Malaysia manufacturing industry |
| title_full | Drivers of work engagement among managers in Malaysia manufacturing industry |
| title_fullStr | Drivers of work engagement among managers in Malaysia manufacturing industry |
| title_full_unstemmed | Drivers of work engagement among managers in Malaysia manufacturing industry |
| title_short | Drivers of work engagement among managers in Malaysia manufacturing industry |
| title_sort | drivers of work engagement among managers in malaysia manufacturing industry |
| topic | HD Industries. Land use. Labor |
| url | http://eprints.utar.edu.my/3515/ http://eprints.utar.edu.my/3515/1/fyp_BA_2019_LYS.pdf |