Development and validation of a multidimensional measure of lean manufacturing

Juan A. Marin-Garcia, Paula Carneiro

Abstract


In the last 30 years of research of lean manufacturing many different questionnaires was proposed to check the degree of the use of the concept. The set of the items used changed considerably from one investigation to another one. Until now isn’t appreciate a movement that converge towards the use, by the investigators, of a few instruments whose validity and reliability have been compared in different surroundings. In fact, the majority of investigations are based on ad-hoc questionnaires and a few of them present the questionnaire validation checking only the unidimensionality and -Cronbach. Nevertheless it seems to have a consensus in identifying 5 big constructs that compose the lean manufacturing (TQM, JIT, TPM, supply chain management and high-involvement). Our research has consisted of identifying and summarizing the models that have been published previously to add the items in constructs or sub-scales of constructs. Later we developed an integrating questionnaire, starting off of the items that appeared in previous investigations. Finally we realized the sub-scales and models validation through a confirmatory factorial analysis, using date of a sample of Spanish Sheltered Work Centre’s (N=128). Of all proposed models, the best an adjustment takes place with the first order model with 20 sub-scales. Our investigation contributes to an integrating vision of the published models and the lean manufacturing sub-scales validity and reliability verification raised by other investigators. Due to his confirming approach, it can serve as generalization of studies that had been realized in contexts with different samples to which we have used for the replication.

Keywords


lean manufacturing, questionnaire validation, survey, confirmatory factorial analysis

Full Text:

PDF[ES]


DOI: http://dx.doi.org/10.3926/ic.153


Licencia de Creative Commons 

This work is licensed under a Creative Commons Attribution 4.0 International License

Intangible Capital, 2004-2020

Online ISSN: 1697-9818; Print ISSN: 2014-3214; DL: B-33375-2004

Publisher: OmniaScience