Leveraging automation and integration to improve manufacturing performance under uncertainty: An empirical study
Document Type
Article
Department or Administrative Unit
Finance and Supply Chain Management
Publication Date
2007
Abstract
Purpose: This paper aims to address the differing impacts of automation and integration on manufacturing performance (MP) under different levels of environmental uncertainty. Design/methodology/approach: Responses from 303 companies are analyzed and presented. Findings: Under industrial (low uncertainty) environment, manufacturing system automation has significant positive impact on MP, while the impact of manufacturing system integration is not significant. Under post‐industrial (high uncertainty) environment, manufacturing system integration has significant positive impact on MP, while the impact of manufacturing system automation is not significant. Research limitations/implications: This paper emphasizes manufacturing strategy responses to different uncertainty levels of environment; either manufacturing system integration strategy or manufacturing system automation strategy plays the primary role for a manufacturing firm to achieve high performance under different uncertainty levels. Practical implications: This paper strongly supports that the key to effective management of automation technology is to improve manufacturing system integration before implementation under high uncertain environment. Originality/value: This paper is one of the first large‐scale empirical studies to address the differing impacts of automation and integration on MP under different levels of environmental uncertainty (EU). Another contribution of this study is the development of valid and reliable measurement instruments for MP and EU, which can be widely used in other manufacturing technology management studies.
Recommended Citation
Liao, K. & Tu, Q. (2008). Leveraging automation and integration to improve manufacturing performance under uncertainty: An empirical study. Journal of Manufacturing Technology Management, 19(1), 38-51. DOI: 10.1108/17410380810843444
Journal
Journal of Manufacturing Technology Management
Rights
Copyright © 2008, Emerald Group Publishing Limited
Comments
This article was originally published in Journal of Manufacturing Technology Management. The full-text article from the publisher can be found here.
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