中国制造商采用精益生产的决定因素

IF 3.8 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL International Journal of Lean Six Sigma Pub Date : 2024-03-28 DOI:10.1108/ijlss-09-2023-0151
Chieh-Yu Lin, Cathay Kuo-Tai Kang, Yi-Hui Ho
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引用次数: 0

摘要

目的本研究旨在分析影响中国制造企业实施精益生产(LM)的决定因素。设计/方法/途径本研究探讨的决定因素包括技术、组织和环境(TOE)三个维度。研究结果表明,LM 的相对优势和组织支持对中国制造企业采用 LM 有显著的正向影响。本文采用 TOE 模型探讨了中国制造业采用 LM 的影响因素,为相关文献做出了贡献。
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Determinants of lean manufacturing adoption by Chinese manufacturers
Purpose This study aims to analyze the determinants influencing Chinese manufacturing companies in implementing lean manufacturing (LM). Design/methodology/approach The determinants to be explored in this study consist of technological, organizational and environmental (TOE) dimensions. A questionnaire survey was conducted on Chinese manufacturing companies, and 208 samples were analyzed. Findings The findings show that the relative advantage of LM and organizational support have significantly positive effects on Chinese manufacturing firms’ adoption of LM. The complexity of LM, quality of human resources, organizational readiness, customer pressure, international situation, governmental support and environmental uncertainty do not have significant effects. Originality/value This paper contributes to the literature by using the TOE model to explore the factors influencing LM adoption in the Chinese manufacturing industry.
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来源期刊
International Journal of Lean Six Sigma
International Journal of Lean Six Sigma Engineering-Industrial and Manufacturing Engineering
CiteScore
8.90
自引率
15.00%
发文量
46
期刊介绍: Launched in 2010, International Journal of Lean Six Sigma publishes original, empirical and review papers, case studies and theoretical frameworks or models related to Lean and Six Sigma methodologies. High quality submissions are sought from academics, researchers, practitioners and leading management consultants from around the world. Research, case studies and examples can be cited from manufacturing, service and public sectors. This includes manufacturing, health, financial services, local government, education, professional services, IT Services, transport, etc.
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