Mediating Effect Of Subcontractor Bullying On Factors Influencing Intention To Quit
Workplace bullying is gradually being identified as a serious problem in the work environment. Acknowledging this problem, a number of studies has been conducted to overcome this problem. However, the previous studies were focussing on different fields and industries. Only a few studies were focu...
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| Format: | Thesis |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.usm.my/48534/1/NUR%20%E2%80%98IZZATI%20BINTI%20HIDZIR_hj.pdf http://eprints.usm.my/48534/ |
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| Summary: | Workplace bullying is gradually being identified as a serious problem in the
work environment. Acknowledging this problem, a number of studies has been
conducted to overcome this problem. However, the previous studies were focussing
on different fields and industries. Only a few studies were focussing on workplace
bullying in a construction project. However, studies on workplace bullying in
construction projects remain scarce, particularly from the subcontractors’
perspectives. There are three objectives in this study. First, to examine the
relationship of bullying factors (main contractors’ leadership, work organisation and
job design and construction culture) and bullying among the subcontractors (workbased
bullying and physical-based bullying) in construction projects. Second, to
analyse the relationship between bullying factors (main contractors’ leadership, work
organisation and work design and construction culture) and bullying among the
subcontractors (work-based bullying and physical-based bullying) towards the
subcontractors’ intention to quit from the construction projects. Third, to examine the
relationship of bullying mediation among the subcontractors (work-based bullying
and physical-based bullying) and bullying factors (main contractor leadership, work
organisation and job design and construction culture) and the intention to quit. A
questionnaire survey was administered to collect data among the contractors G6 and
G7 (n=210) across Peninsular Malaysia. For the data analysis, Partial Least Squares
– Structural Equation Modelling (PLS-SEM) was used by using the Smart PLS
software. |
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