Predicting the role of organisational listening and job resources in job engagement
Job engagement is defined as one’s enthusiasm and involvement in his or her job. Individuals who are profoundly engaged with their job are motivated by the work itself. They will, in general, work harder and more productively than others and are bound to create the outcomes that their clients an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2022
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| Online Access: | http://journalarticle.ukm.my/20381/ http://journalarticle.ukm.my/20381/1/47462-186945-1-PB.pdf |
| _version_ | 1848815088669032448 |
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| author | Tham, Jen Sern Amirul Aizat Mohd Ali, Zhang, Thomas Hongjie |
| author_facet | Tham, Jen Sern Amirul Aizat Mohd Ali, Zhang, Thomas Hongjie |
| author_sort | Tham, Jen Sern |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Job engagement is defined as one’s enthusiasm and involvement in his or her job. Individuals who are
profoundly engaged with their job are motivated by the work itself. They will, in general, work harder
and more productively than others and are bound to create the outcomes that their clients and
organisation need. Although existing empirical studies have provided evidence that perceived
organisational support (POS) and supportive leader behaviour can significantly predict job
engagement, the effect of organisational listening on employee job engagement is still under
researched. Guided by the Job Demand-Resources (JD-R) model, this study proposed that
organisational listening is a vital predictor of job engagement. We analysed whether organisational
listening holds a more substantial statistical power than perceived organisational support and
supportive leader behaviour as job resources. We conducted an online survey that involved 207
employees from a Malaysian IT management consulting company. After analysing the survey data
through multiple regression analysis, the results showed that organisational listening was a significant
predictor of job engagement. Besides, organisational listening showed an incremental validity above
and beyond perceived organisational support and supportive leader behaviour in predicting job
engagement. These findings suggest that employees become engaged in their job when they believe
that the leader incorporates values and action to listen accurately and is supportive. Implications in
theoretical and practical perspectives were discussed. |
| first_indexed | 2025-11-15T00:44:25Z |
| format | Article |
| id | oai:generic.eprints.org:20381 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:44:25Z |
| publishDate | 2022 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:203812022-11-04T03:12:16Z http://journalarticle.ukm.my/20381/ Predicting the role of organisational listening and job resources in job engagement Tham, Jen Sern Amirul Aizat Mohd Ali, Zhang, Thomas Hongjie Job engagement is defined as one’s enthusiasm and involvement in his or her job. Individuals who are profoundly engaged with their job are motivated by the work itself. They will, in general, work harder and more productively than others and are bound to create the outcomes that their clients and organisation need. Although existing empirical studies have provided evidence that perceived organisational support (POS) and supportive leader behaviour can significantly predict job engagement, the effect of organisational listening on employee job engagement is still under researched. Guided by the Job Demand-Resources (JD-R) model, this study proposed that organisational listening is a vital predictor of job engagement. We analysed whether organisational listening holds a more substantial statistical power than perceived organisational support and supportive leader behaviour as job resources. We conducted an online survey that involved 207 employees from a Malaysian IT management consulting company. After analysing the survey data through multiple regression analysis, the results showed that organisational listening was a significant predictor of job engagement. Besides, organisational listening showed an incremental validity above and beyond perceived organisational support and supportive leader behaviour in predicting job engagement. These findings suggest that employees become engaged in their job when they believe that the leader incorporates values and action to listen accurately and is supportive. Implications in theoretical and practical perspectives were discussed. Penerbit Universiti Kebangsaan Malaysia 2022 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/20381/1/47462-186945-1-PB.pdf Tham, Jen Sern and Amirul Aizat Mohd Ali, and Zhang, Thomas Hongjie (2022) Predicting the role of organisational listening and job resources in job engagement. Jurnal Komunikasi ; Malaysian Journal of Communication, 38 (2). pp. 107-126. ISSN 0128-1496 https://ejournal.ukm.my/mjc/issue/view/1527 |
| spellingShingle | Tham, Jen Sern Amirul Aizat Mohd Ali, Zhang, Thomas Hongjie Predicting the role of organisational listening and job resources in job engagement |
| title | Predicting the role of organisational listening and job resources in job engagement |
| title_full | Predicting the role of organisational listening and job resources in job engagement |
| title_fullStr | Predicting the role of organisational listening and job resources in job engagement |
| title_full_unstemmed | Predicting the role of organisational listening and job resources in job engagement |
| title_short | Predicting the role of organisational listening and job resources in job engagement |
| title_sort | predicting the role of organisational listening and job resources in job engagement |
| url | http://journalarticle.ukm.my/20381/ http://journalarticle.ukm.my/20381/ http://journalarticle.ukm.my/20381/1/47462-186945-1-PB.pdf |