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Cited by 30Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing SystemsQuality and Supply Management

Leveraging automation and integration to improve manufacturing performance under uncertainty: An empirical study

Liao, Kun, Tu, Qiang·2007·Journal of Manufacturing Technology Management
DOI 10.1108/17410380810843444
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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.

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Crossref · 10.1108/17410380810843444

Cites

41 of 41 references verified0 citation errors · 0 not checkable

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  • Key reasons emphasizing the need for known technological infrastructure to support CE-DT integration include turbulent and competitive markets, increasingly complex IT environments, data complexity, and interconnected data networks.

    “Key reasons exist which emphasize the need for known technological infrastructure to support CE-DT integration. These include the turbulent and competitive markets [142] which industries and CE stakeholders operate from [140], the increasingly complex IT environment which organizations deal with, data complexity, and interconnected data networks [145].”

    From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [145]

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Related

Authors
Liao, K., & Tu, Q.
Affiliations
  • Central Washington University (US)
  • Rochester Institute of Technology (US)
ORCID
Liao, Kun
Venue
Journal of Manufacturing Technology Management
Publisher
Emerald
Published
2007-12-24
Volume
19
Issue
1
Pages
38-51
ISSN
1741-038X (ISSN-L)
DOI
10.1108/17410380810843444
OpenAlex
W1579577405
Cited by
30
References
43
Citations by year
2025: 1 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 4 · 2019: 1 · 2018: 3 · 2017: 1 · 2016: 3 · 2015: 3 · 2014: 2 · 2013: 2
FWCI
2.14
Type
journal article
Language
en
Open access
closed
Licence
www.emeraldinsight.com/page/tdm (tdm)
Locations
  • Journal of Manufacturing Technology Management (publishedVersion)
  • ScholarWorks (Central Washington University) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
Keywords
manufacturing integration, manufacturing performance, environmental uncertainty, industrial environments, manufacturing strategy

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