Modelling of the antecedents of staff satisfaction on turnover intention in a Malaysian Public University

Staff is regarded as asset that could take the organisation to greater productivity and performance. Studies on staff satisfaction are of great importance and should be taken seriously as issues of dissatisfaction would raise rippling effects at the workplace and cause turnover in any organisation i...

Full description

Bibliographic Details
Main Author: Mohamad Hazeem, Mohmad Sidik
Format: Thesis
Language:English
English
English
Published: 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/19663/
http://umpir.ump.edu.my/id/eprint/19663/
http://umpir.ump.edu.my/id/eprint/19663/1/Modelling%20of%20the%20antecedents%20of%20staff%20satisfaction%20on%20turnover%20intention%20in%20a%20Malaysian%20Public%20University%20-Table%20of%20contents.pdf
http://umpir.ump.edu.my/id/eprint/19663/2/Modelling%20of%20the%20antecedents%20of%20staff%20satisfaction%20on%20turnover%20intention%20in%20a%20Malaysian%20Public%20University%20-Abstract.pdf
http://umpir.ump.edu.my/id/eprint/19663/3/Modelling%20of%20the%20antecedents%20of%20staff%20satisfaction%20on%20turnover%20intention%20in%20a%20Malaysian%20Public%20University%20-References.pdf
id ump-19663
recordtype eprints
spelling ump-196632018-01-11T03:00:36Z http://umpir.ump.edu.my/id/eprint/19663/ Modelling of the antecedents of staff satisfaction on turnover intention in a Malaysian Public University Mohamad Hazeem, Mohmad Sidik HD28 Management. Industrial Management Staff is regarded as asset that could take the organisation to greater productivity and performance. Studies on staff satisfaction are of great importance and should be taken seriously as issues of dissatisfaction would raise rippling effects at the workplace and cause turnover in any organisation including higher educational institutions (HEIs). Therefore, the main purpose of this study is to develop a hypothesised model on the impact of predictors for staff satisfaction on turnover intention and to empirically examine the relationships that are hypothesised in the research model that was developed based on literature reviews and related underpinning theories. The study employed a quantitative method using questionnaire that was adopted and adapted from previous study. Structural Equation Modelling (SEM) through Partial Least Squares (PLS) estimation are used for the analysis. A sample of 1042 secondary data from UMP staff was involved in the study that was clusterly sampled for 2015 from 4 consecutive years i.e. 2012, 2013, 2014 and 2015, conveniently. The results revealed that leadership, staff involvement, workload, self-development, working environment and communication are related to the overall satisfaction which has consequential impact on the turnover intention. In conclusion, the predictors under study could determine the staff satisfaction and this leads to their intention to stay or leave the organisation. The findings found a significant relationship between each of the linkages among variables studied on staff satisfaction and turnover intention at p < 0.05. This finding could be used for university management to look into possible rooms for improvement in ensuring that staff satisfaction within the university system as this would eventually ensure sustainability and survivality of university. 2017-07 Thesis NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19663/1/Modelling%20of%20the%20antecedents%20of%20staff%20satisfaction%20on%20turnover%20intention%20in%20a%20Malaysian%20Public%20University%20-Table%20of%20contents.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/19663/2/Modelling%20of%20the%20antecedents%20of%20staff%20satisfaction%20on%20turnover%20intention%20in%20a%20Malaysian%20Public%20University%20-Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/19663/3/Modelling%20of%20the%20antecedents%20of%20staff%20satisfaction%20on%20turnover%20intention%20in%20a%20Malaysian%20Public%20University%20-References.pdf Mohamad Hazeem, Mohmad Sidik (2017) Modelling of the antecedents of staff satisfaction on turnover intention in a Malaysian Public University. Masters thesis, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:101413&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
English
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Mohamad Hazeem, Mohmad Sidik
Modelling of the antecedents of staff satisfaction on turnover intention in a Malaysian Public University
description Staff is regarded as asset that could take the organisation to greater productivity and performance. Studies on staff satisfaction are of great importance and should be taken seriously as issues of dissatisfaction would raise rippling effects at the workplace and cause turnover in any organisation including higher educational institutions (HEIs). Therefore, the main purpose of this study is to develop a hypothesised model on the impact of predictors for staff satisfaction on turnover intention and to empirically examine the relationships that are hypothesised in the research model that was developed based on literature reviews and related underpinning theories. The study employed a quantitative method using questionnaire that was adopted and adapted from previous study. Structural Equation Modelling (SEM) through Partial Least Squares (PLS) estimation are used for the analysis. A sample of 1042 secondary data from UMP staff was involved in the study that was clusterly sampled for 2015 from 4 consecutive years i.e. 2012, 2013, 2014 and 2015, conveniently. The results revealed that leadership, staff involvement, workload, self-development, working environment and communication are related to the overall satisfaction which has consequential impact on the turnover intention. In conclusion, the predictors under study could determine the staff satisfaction and this leads to their intention to stay or leave the organisation. The findings found a significant relationship between each of the linkages among variables studied on staff satisfaction and turnover intention at p < 0.05. This finding could be used for university management to look into possible rooms for improvement in ensuring that staff satisfaction within the university system as this would eventually ensure sustainability and survivality of university.
format Thesis
author Mohamad Hazeem, Mohmad Sidik
author_facet Mohamad Hazeem, Mohmad Sidik
author_sort Mohamad Hazeem, Mohmad Sidik
title Modelling of the antecedents of staff satisfaction on turnover intention in a Malaysian Public University
title_short Modelling of the antecedents of staff satisfaction on turnover intention in a Malaysian Public University
title_full Modelling of the antecedents of staff satisfaction on turnover intention in a Malaysian Public University
title_fullStr Modelling of the antecedents of staff satisfaction on turnover intention in a Malaysian Public University
title_full_unstemmed Modelling of the antecedents of staff satisfaction on turnover intention in a Malaysian Public University
title_sort modelling of the antecedents of staff satisfaction on turnover intention in a malaysian public university
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/19663/
http://umpir.ump.edu.my/id/eprint/19663/
http://umpir.ump.edu.my/id/eprint/19663/1/Modelling%20of%20the%20antecedents%20of%20staff%20satisfaction%20on%20turnover%20intention%20in%20a%20Malaysian%20Public%20University%20-Table%20of%20contents.pdf
http://umpir.ump.edu.my/id/eprint/19663/2/Modelling%20of%20the%20antecedents%20of%20staff%20satisfaction%20on%20turnover%20intention%20in%20a%20Malaysian%20Public%20University%20-Abstract.pdf
http://umpir.ump.edu.my/id/eprint/19663/3/Modelling%20of%20the%20antecedents%20of%20staff%20satisfaction%20on%20turnover%20intention%20in%20a%20Malaysian%20Public%20University%20-References.pdf
first_indexed 2023-09-18T22:28:08Z
last_indexed 2023-09-18T22:28:08Z
_version_ 1777416104919957504