TY - JOUR
T1 - An empirical assessment of Lean Six Sigma Awareness in manufacturing industries
T2 - construct development and validation
AU - Raja Sreedharan, V.
AU - Raju, R.
AU - Rajkanth, R.
AU - Nagaraj, M.
N1 - Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2016/9/14
Y1 - 2016/9/14
N2 - 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.
AB - 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.
KW - Lean Six Sigma Awareness (LSSA)
KW - constructs
KW - manufacturing industries
KW - structural equation modelling
UR - http://www.scopus.com/inward/record.url?scp=84987664773&partnerID=8YFLogxK
U2 - 10.1080/14783363.2016.1230470
DO - 10.1080/14783363.2016.1230470
M3 - Article
AN - SCOPUS:84987664773
SN - 1478-3363
VL - 29
SP - 686
EP - 703
JO - Total Quality Management and Business Excellence
JF - Total Quality Management and Business Excellence
IS - 5-6
ER -