Work

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

Year: 2019

Type: article

Abstract: 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. Keywords: high-performance work system, employee performance, job satisfaction, perceived organizational support, employee engagement

Source: Psychology Research and Behavior Management

DOI: 10.2147/prbm.s195533

Authors: Cai Li, Shumaila Naz, Muhammad Aamir Shafique Khan, Basil Kusi, Majid Murad

Institution: Jiangsu University

Language: English

Topic: Employee Performance and Management

Subfield: Human Factors and Ergonomics

Field: Social Sciences

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: gold

Estimated APC paid: $2,836