Workforce fatigue model and its relationship with workforce productivity

Earlier studies have shown that attention to ergonomic factors such as suitable work design and planning, appropriate workplace design and facilities, and suitable machine and human design can help to boost workforce productivity, enhance work safety, increase nervous and physical well-being and ful...

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Main Author:	Shahraki, Shahrokh
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/54768/25/ShahrokhShahrakiPFKM2015.pdf
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id	my-utm-ep.54768
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spelling	my-utm-ep.547682020-11-06T14:58:47Z Workforce fatigue model and its relationship with workforce productivity 2015-02 Shahraki, Shahrokh TJ Mechanical engineering and machinery Earlier studies have shown that attention to ergonomic factors such as suitable work design and planning, appropriate workplace design and facilities, and suitable machine and human design can help to boost workforce productivity, enhance work safety, increase nervous and physical well-being and fulfil job satisfaction. Ergonomic studies can assist managers in planning to reduce fatigue and increase workforce productivity. A review of the models of ergonomics shows that there is a need to conduct further research to gain a more comprehensive fatigue model. This research aims to propose a workforce fatigue model and investigate its relationship with workforce productivity, and the relationships among the variables and mediating variables with the physical and nervous abilities. The main research question is whether there is a significant relationship between the workforce fatigue model and workforce productivity. By adding forgetfulness and retraining as dependent variables and several mediating variables, this model enhances its precision and sensitivity. The service companies in Iran contribute 51.5 % to the economy of the country. From this percentage, the telecommunication service industry holds 12.8%. As a case study, the researcher decided to select a few telecommunication companies, which make up the biggest branches of the telecommunication companies of Iran. To achieve the research objectives, initially interviews were conducted with thirty experts in this area. Answers and responses from the questions about the fatigue model and the degree of its impact on productivity were used to test the performance and validity of the model. The interview results were analysed and the degree of effectiveness of each variable on the conceptual model was measured. Accordingly, a point was assigned to each variable. It was decided to include the main variables and mediating variables with the highest point in the final model. Based on the findings from the interviews, questionnaires were designed and distributed among the eligible study workforce of the companies. Four hundred and fifty respondents were selected as the sample size, among eight hundred workers, from whom information required for the analysis of the model was collected. The survey data collected from the respondents were processed using a Chi-Square Test, Kolmogorov-Smimov Z Test, One Sample TTest, and Cronbach’s alpha. The result showed a strong significant relationship (pvalue was less than 5%) between the workforce fatigue model and workforce productivity and this model provides higher efficiency and accuracy in assisting the company managers in their decision making in work planning and design. The findings from the case service companies greatly improve workforce productivity through reducing risks due to fatigue in the work environment. 2015-02 Thesis http://eprints.utm.my/id/eprint/54768/ http://eprints.utm.my/id/eprint/54768/25/ShahrokhShahrakiPFKM2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:94309 phd doctoral Universiti Teknologi Malaysia, Faculty of Chemical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Shahraki, Shahrokh Workforce fatigue model and its relationship with workforce productivity
description	Earlier studies have shown that attention to ergonomic factors such as suitable work design and planning, appropriate workplace design and facilities, and suitable machine and human design can help to boost workforce productivity, enhance work safety, increase nervous and physical well-being and fulfil job satisfaction. Ergonomic studies can assist managers in planning to reduce fatigue and increase workforce productivity. A review of the models of ergonomics shows that there is a need to conduct further research to gain a more comprehensive fatigue model. This research aims to propose a workforce fatigue model and investigate its relationship with workforce productivity, and the relationships among the variables and mediating variables with the physical and nervous abilities. The main research question is whether there is a significant relationship between the workforce fatigue model and workforce productivity. By adding forgetfulness and retraining as dependent variables and several mediating variables, this model enhances its precision and sensitivity. The service companies in Iran contribute 51.5 % to the economy of the country. From this percentage, the telecommunication service industry holds 12.8%. As a case study, the researcher decided to select a few telecommunication companies, which make up the biggest branches of the telecommunication companies of Iran. To achieve the research objectives, initially interviews were conducted with thirty experts in this area. Answers and responses from the questions about the fatigue model and the degree of its impact on productivity were used to test the performance and validity of the model. The interview results were analysed and the degree of effectiveness of each variable on the conceptual model was measured. Accordingly, a point was assigned to each variable. It was decided to include the main variables and mediating variables with the highest point in the final model. Based on the findings from the interviews, questionnaires were designed and distributed among the eligible study workforce of the companies. Four hundred and fifty respondents were selected as the sample size, among eight hundred workers, from whom information required for the analysis of the model was collected. The survey data collected from the respondents were processed using a Chi-Square Test, Kolmogorov-Smimov Z Test, One Sample TTest, and Cronbach’s alpha. The result showed a strong significant relationship (pvalue was less than 5%) between the workforce fatigue model and workforce productivity and this model provides higher efficiency and accuracy in assisting the company managers in their decision making in work planning and design. The findings from the case service companies greatly improve workforce productivity through reducing risks due to fatigue in the work environment.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Shahraki, Shahrokh
author_facet	Shahraki, Shahrokh
author_sort	Shahraki, Shahrokh
title	Workforce fatigue model and its relationship with workforce productivity
title_short	Workforce fatigue model and its relationship with workforce productivity
title_full	Workforce fatigue model and its relationship with workforce productivity
title_fullStr	Workforce fatigue model and its relationship with workforce productivity
title_full_unstemmed	Workforce fatigue model and its relationship with workforce productivity
title_sort	workforce fatigue model and its relationship with workforce productivity
granting_institution	Universiti Teknologi Malaysia, Faculty of Chemical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/54768/25/ShahrokhShahrakiPFKM2015.pdf
_version_	1747817722046054400

Workforce fatigue model and its relationship with workforce productivity

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