The effect of equipment management capability maturity on manufacturing performance

Abstract

Equipment management capability is crucial to the transformation and upgrading of manufacturing enterprises. Past studies ignore its significance and have not assessed manufacturing performance from the perspective of capability maturity yet and still want evidence from empirical test. For addressing this research gap, we combine research methods of qualitative and quantitative to define equipment management capability for exploring and verifying the relationship between equipment management capability maturity and manufacturing performance. Results of this study from 136 valid questionnaires indicate that capabilities of strategy, personnel and IT infrastructure have direct positive effects on manufacturing performance. Among them, equipment management strategy takes organisational & process and IT infrastructure as mediating variables, which have indirect positive influence on manufacturing performance. Meanwhile, organisational & process takes IT infrastructure as mediating variable which has indirect positive influence on manufacturing performance. Our work opens the black box of equipment management capability system and provides theoretical guidance for improving manufacturing performance.

Keywords:

• Equipment management capability
• Capability maturity model (CMM)
• manufacturing performance
• resource-based view
• performance measurement

Disclosure statement

No potential conflict of interest was reported by the author(s).

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This study is partially supported by National Natural Science Foundation of China under Grant No. 71671152, by the Key Research Institute of Humanities and Social Sciences at Universities of Henan and by Young Core Teachers Training Program and Interdisciplinary Team Program in Zhongyuan University of Technology, China.

Notes on contributors

Shuihua Han

Shuihua Han, PhD. is a Professor of information systems at the School of Management, Xiamen University, China. He received his Ph.D. from Huazhong University of Science and Technology in China. His research on supply chain optimation, multiple channel management, and Big data analysis in Business has been published in journals such as European Journal of Operational Research, Annals of Operations Research, Decision Support Systems.

Chao Li

Chao Li, PhD, is a Lecturer at School of Economics and Management, Zhongyuan University of Technology, China. She received her Ph.D. in Management from Xiamen University in China. Her research interests include innovation management and organisational behaviour, primarily in the areas of the impact of the information technology on organisational service improvement innovation and performance.

Weixi Feng

Weixi Feng, PhD, is a Lecturer at School of Economics and Management, Zhongyuan University of Technology, China. He received his Ph.D. in Management from Xiamen University in China. His research interests include platform governance, organisational service innovation and behaviour research in IS.

Zongwei Luo

Zongwei Luo, PhD, is a Teacher in the United International College in China. He is a seasoned, passionate and an active-learning professional with a rich industrial and university R&D and project management experiences in the areas of big data analytics and their social, managerial and environmental implications. Zongwei’s research and development has consistently led to successful technology transfer and adoption cases, in addition to about 150 academic publications with one best paper award and two best paper nominees in IEEE conferences.

Shivam Gupta

Shivam Gupta, PhD, is an Associate Professor at NEOMA Business School, France with a demonstrated history of working in the higher education industry. Skilled in Statistics, Cloud Computing, Big Data Analytics, Artificial Intelligence and Sustainability. Strong education professional with a Doctor of Philosophy (PhD) focussed in Cloud Computing and Operations Management from Indian Institute of Technology (IIT) Kanpur. Followed by PhD, postdoctoral research was pursued at Freie Universität Berlin and SUSTech, China. He has completed HDR from University of Montpellier, France. He has published several research papers in reputed journals and has been the recipient of the International Young Scientist Award by the National Natural Science Foundation of China (NSFC) in 2017 and winner of the 2017 Emerald South Asia LIS award.