Abstract:
Overview
Quality Management System (QMS) and High Performance Work System (HPWS) have emerged as leading improvement initiatives and management paradigms to enhance the organizational effectiveness (OE) of manufacturing and services organizations all over the globe. Nevertheless, an unambiguous and explicit insight of the nature of inter-relationship of these two development programs is still deficient in organizational research related to technical services organizations, and nebulousness exists whether QMS and HPWS practices are mutually supportive or mutually exclusive in a conjoint implementation scenario.
Problem Statement
There is a need to investigate the effects of the conjoint implementation of QMS and HPWS on the OE of Public Sector’s Technical Services Organizations (TSO) of Pakistan.
Objectives
The current study’s objective is to analyse the interrelations and integration of QMS and HPWS practices and their direct and indirect effects on the organizational effectiveness of the Public Sector’s TSOs of Pakistan.
Methods
Structural Equation Modeling (SEM) being one of the finest and reliable statistical approach that adopts a confirmatory (hypothesis-testing) methodology to perform statistical analysis of a structural theory is used in the current research work.
Results
The results of the study indicate that both QMS and HPWS have direct positive effects on OE of TSOs of Pakistan. QMS-Top Management practices act as an enabler and driving force for QMS-Core practices and HPWS practices. Moreover, core QMS practices and HPWS also mediate the relationship between QMS-Top Management practices and OE.
Contributions
This is the first comprehensive study of its kind, which develops an empirically validated QMS, and HPWS integrated framework and presents a strategic roadmap for the enhancement of TSOs’ effectiveness through practical implementation of these two management initiatives. The proposed model is verified through cross-sectional data from ninety TSOs in Pakistan. The test results of the SEM support the proposed relationships in the framework.
