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Publication date: 1 October 2018

Nurul Fadly Habidin, Suzaituladwini Hashim, Nursyazwani Mohd Fuzi and Mad Ithnin Salleh

The purpose of this paper is to determine the relationship between total productive maintenance (TPM), kaizen event (KE) and innovation performance (IP) for Malaysian automotive…

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Abstract

Purpose

The purpose of this paper is to determine the relationship between total productive maintenance (TPM), kaizen event (KE) and innovation performance (IP) for Malaysian automotive industry using structural equation modeling (SEM).

Design/methodology/approach

The samples were selected from the list of Proton and Perodua automotive industry. The number of collected respondents was 238 respondents. An SEM technique was used in the study. In order to test the reliability and validity of the instrument, reliability analysis, exploratory and confirmatory factor analysis were conducted.

Findings

Based on the results, KE does not affect the relationship between TPM and IP. However, the impact of TPM on IP increases with mediating of KE for Malaysian automotive industry. Thus, this study has shown that empirical test results prove that the implementation of TPM and KE has improved the IP for Malaysian automotive industry.

Research limitations/implications

This study only focused on the Malaysian automotive industry. The other limitation in this research is the number of factors and limited measurement in this study. Only a few TPM, KE and IP measurements were considered. By using the SEM technique, four TPM constructs, three for KE constructs and three for IP measures were developed and verified. Therefore, this study can assist the researchers and practitioners to the practice of TPM, KE and IP for Malaysian automotive industry.

Originality/value

This research provides fundamental knowledge and direction for researchers in further research as well as practitioners to constantly improve IP through the implementation of TPM and KE for Malaysian automotive industry.

Details

International Journal of Quality & Reliability Management, vol. 35 no. 9
Type: Research Article
ISSN: 0265-671X

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