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An empirical investigation on the relationship between a high-performance work system and employee performance: measuring a mediation model through partial least squares–structural equation modeling

Background: This study aimed to investigate the effect of a high-performance work system (HPWS) on employee performance and the intervening role of mediators in this relationship. Methods: The study was quantitative in nature and used a questionnaire as its instrument. Two hundred and fifty responde...

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Autores principales: Li, Cai, Naz, Shumaila, Khan, Muhammad Aamir Shafique, Kusi, Basil, Murad, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551595/
https://www.ncbi.nlm.nih.gov/pubmed/31239795
http://dx.doi.org/10.2147/PRBM.S195533
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author Li, Cai
Naz, Shumaila
Khan, Muhammad Aamir Shafique
Kusi, Basil
Murad, Majid
author_facet Li, Cai
Naz, Shumaila
Khan, Muhammad Aamir Shafique
Kusi, Basil
Murad, Majid
author_sort Li, Cai
collection PubMed
description Background: This study aimed to investigate the effect of a high-performance work system (HPWS) on employee performance and the intervening role of mediators in this relationship. Methods: The study was quantitative in nature and used a questionnaire as its instrument. Two hundred and fifty respondents from the private textile sector, located in Lahore and Faisalabad, Pakistan, were selected using a stratified sampling technique. For statistical analysis and to test the proposed research model, partial least squares–structural equation modeling was applied. Results: HPWS was positively related to employee performance. Furthermore, job satisfaction, perceived organizational support, and employee engagement positively and significantly mediated between HPWS and employee performance. Thus, the study provided evidence for the underpinning models of social exchange theory, and ability, motivation, and opportunity framework. Conclusion: The study emphasizes that practitioners should develop strategies that could foster positive work attitudes and increase perceived organizational support to achieve higher levels of performance. It further describes some limitations and gaps for future research.
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spelling pubmed-65515952019-06-25 An empirical investigation on the relationship between a high-performance work system and employee performance: measuring a mediation model through partial least squares–structural equation modeling Li, Cai Naz, Shumaila Khan, Muhammad Aamir Shafique Kusi, Basil Murad, Majid Psychol Res Behav Manag Original Research Background: This study aimed to investigate the effect of a high-performance work system (HPWS) on employee performance and the intervening role of mediators in this relationship. Methods: The study was quantitative in nature and used a questionnaire as its instrument. Two hundred and fifty respondents from the private textile sector, located in Lahore and Faisalabad, Pakistan, were selected using a stratified sampling technique. For statistical analysis and to test the proposed research model, partial least squares–structural equation modeling was applied. Results: HPWS was positively related to employee performance. Furthermore, job satisfaction, perceived organizational support, and employee engagement positively and significantly mediated between HPWS and employee performance. Thus, the study provided evidence for the underpinning models of social exchange theory, and ability, motivation, and opportunity framework. Conclusion: The study emphasizes that practitioners should develop strategies that could foster positive work attitudes and increase perceived organizational support to achieve higher levels of performance. It further describes some limitations and gaps for future research. Dove 2019-05-31 /pmc/articles/PMC6551595/ /pubmed/31239795 http://dx.doi.org/10.2147/PRBM.S195533 Text en © 2019 Li et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Li, Cai
Naz, Shumaila
Khan, Muhammad Aamir Shafique
Kusi, Basil
Murad, Majid
An empirical investigation on the relationship between a high-performance work system and employee performance: measuring a mediation model through partial least squares–structural equation modeling
title An empirical investigation on the relationship between a high-performance work system and employee performance: measuring a mediation model through partial least squares–structural equation modeling
title_full An empirical investigation on the relationship between a high-performance work system and employee performance: measuring a mediation model through partial least squares–structural equation modeling
title_fullStr An empirical investigation on the relationship between a high-performance work system and employee performance: measuring a mediation model through partial least squares–structural equation modeling
title_full_unstemmed An empirical investigation on the relationship between a high-performance work system and employee performance: measuring a mediation model through partial least squares–structural equation modeling
title_short An empirical investigation on the relationship between a high-performance work system and employee performance: measuring a mediation model through partial least squares–structural equation modeling
title_sort empirical investigation on the relationship between a high-performance work system and employee performance: measuring a mediation model through partial least squares–structural equation modeling
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551595/
https://www.ncbi.nlm.nih.gov/pubmed/31239795
http://dx.doi.org/10.2147/PRBM.S195533
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