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dc.contributor.authorKhalili, Amjad-
dc.contributor.authorIsmail, Md Yusof-
dc.contributor.authorKarim, A.N.M-
dc.contributor.authorChe Daud, Mohd Radzi-
dc.date.accessioned2019-05-18T10:47:02Z-
dc.date.available2019-05-18T10:47:02Z-
dc.date.issued2018-
dc.identifier.citationKhalili, A., Ismail, M. Y., Karim, A. N. M., & Daud, M. R. C. (2018). Soft total quality management and lean manufacturing initiatives: model development through structural equation modelling. International Journal of Productivity and Quality Management, 23(1), 1-30.en_US
dc.identifier.issn1746-6482-
dc.identifier.urihttps://scholar.ptuk.edu.ps/handle/123456789/509-
dc.description.abstractBoth soft total quality management (STQM) and lean manufacturing (LM) are philosophies for continuous improvement. Little is known about whether these can be integrated together or are in conflict. Furthermore, the nature of their integration together in the same enterprise is not clear. This paper tries to eliminate gap in operations management (OM) literature regarding the integration of these practices. To do this, it proposes a comprehensive model to be implemented in the developing economy of Malaysia, to investigate the linkages among elements of soft TQM and LM tools in the measured manufacturing sectors. A structured questionnaire was designed to validate the model and test the hypothesis. Structural equation modelling (SEM) through analysis of moment structure (AMOS 22) is utilised to empirically investigate the model based on primary data of 329 responses. Results obtained implied that hypothesis is significant and supported. Thus, both practices are complementary to each otheren_US
dc.language.isoenen_US
dc.publisherIJPQMen_US
dc.relation.ispartofseries23(1);1-30-
dc.subjectsoft total quality management; STQM; lean; integration; AMOS; complementary; Malaysia.en_US
dc.titleSoft total quality management and lean manufacturing initiatives: model development through structural equation modellingen_US
dc.typeArticleen_US
Appears in Collections:Engineering and Technology Faculty

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