Structural equation modeling for validating impact of 5S implementation on business excellence of manufacturing organizations
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 2 October 2017
Abstract
Purpose
The purpose of this paper is to deploy structural equation modeling (SEM) technique to empirically validate the interrelationships amongst significant variables of 5S implementation and business excellence performance parameters (BEPP) in SEM_5S model.
Design/methodology/approach
The confirmatory factor analysis approach is utilized to generate the effective SEM_5S model by using AMOS 20.0 (analysis of moment structures) software. The data have been collected from different manufacturing organizations that have successfully deployed the 5S program by using well-designed questionnaire for the evaluation of SEM_5S model.
Findings
SEM of 5S various parameters has established that attributes like top management involvement initiatives, employee involvement initiatives, basic 5S initiatives (BFSI) and fifth S initiatives (Shitsuke) should be holistically emphasized during the implementation of 5S program, leading to attainment of high level of melioration in the BEPP. SEM has been deployed to evaluate the original and modification indices of the model, which further establishes the improvement in SEM’s effectiveness. The model establishes the significant impact of 5S implementation on business excellence of manufacturing organizations.
Originality/value
The outcomes of the study will help the organizational managers, HR executives and practitioners from manufacturing organizations to know about the significant factors which should be followed holistically to achieve overall organizational business excellence through strategic 5S initiatives.
Keywords
Citation
Randhawa, J.S. and Ahuja, I.S. (2017), "Structural equation modeling for validating impact of 5S implementation on business excellence of manufacturing organizations", International Journal of Quality & Reliability Management, Vol. 34 No. 9, pp. 1592-1615. https://doi.org/10.1108/IJQRM-08-2016-0129
Publisher
:Emerald Publishing Limited
Copyright © 2017, Emerald Publishing Limited