An empirical assessment of Lean Six Sigma Awareness in manufacturing industries: construct development and validation

An empirical assessment of Lean Six Sigma Awareness in manufacturing industries: construct development and validation

Lean Six Sigma (LSS) is one of the managerial practices for organisations to achieve operational excellence. But, prior research suggests that many companies have failed in the LSS Implementation (IMP) due to lack of Lean Six Sigma Awareness (LSSA). In this study, we assess LSSA in the manufacturing...

Full description

Saved in:
Bibliographic Details
Published in:Total quality management & business excellence Vol. 29; no. 5-6; pp. 686 - 703
Main Authors: Raja Sreedharan, V., Raju, R., Rajkanth, R., Nagaraj, M.
Format: Journal Article
Language:English
Published: Abingdon Routledge 16-04-2018
Taylor & Francis Ltd
Subjects:
constructs
Lean manufacturing
Lean Six Sigma Awareness (LSSA)
manufacturing industries
Six Sigma
Structural equation modeling
structural equation modelling
India
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Lean Six Sigma (LSS) is one of the managerial practices for organisations to achieve operational excellence. But, prior research suggests that many companies have failed in the LSS Implementation (IMP) due to lack of Lean Six Sigma Awareness (LSSA). In this study, we assess LSSA in the manufacturing industries in India. Through extant literature review, we have identified and developed four new constructs for LSSA comprising the Impact of LSS (IM), Acceptance towards LSS (ACC), top management commitment (TMC) and IMP using the three-stage technique proposed by Churchill [(1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64-73]. Using these constructs, an online survey was conducted in manufacturing industries yielding a response rate of 65.4%. The survey results evaluated reliability, convergent validity and discriminant validity of the constructs and were found to be satisfactory. To test the model fit and hypotheses between the LSSA constructs, we used structural equation modelling (SEM). The SEM result shows that there is strong evidence to support the hypothesised model where IM has positive influences on TMC. Whereas ACC has a positive influence on both TMC and IMP, and TMC has positive influences on IMP. Based on the SEM results, it is clear that LSSA is essential for successful IMP across different manufacturing industries in India.
ISSN:1478-3363
1478-3371
DOI:10.1080/14783363.2016.1230470