供应链
结构方程建模
适度
敏捷软件开发
敏捷制造
调解
供应链管理
独创性
业务
产业组织
计算机科学
营销
心理学
政治学
社会心理学
创造力
软件工程
机器学习
法学
作者
R. Anthony Inman,Kenneth W. Green
出处
期刊:Journal of Manufacturing Technology Management
[Emerald (MCB UP)]
日期:2021-08-20
卷期号:33 (2): 239-258
被引量:27
标识
DOI:10.1108/jmtm-03-2021-0097
摘要
Purpose Today's businesses are facing a world that is more complex, turbulent and unpredictable than in the past with increasing levels of environmental complexity. Rather than proposing environmental uncertainty as a mediator/moderator of the relationship between agility and performance as others have done, the authors offer an alternative view where supply chain agility is seen as mediating the relationship between environmental uncertainty and supply chain performance. Design/methodology/approach The authors propose that supply chain agility is a response to the effects of environmental uncertainty and, as such, environmental uncertainty should be seen as a driver of supply chain agility. Few studies test the direct relationship between uncertainty and supply chain performance, and none simultaneously test for agility's mediation and moderation effect between environmental uncertainty and agility. Findings The model was statistically assessed using partial-least-squares structural equation modeling (PLS/SEM) by analyzing survey data from manufacturing managers in 136 US firms. The study results did not indicate a significant relationship between environmental uncertainty and supply chain performance. However, the authors did find a significant positive relationship between agile manufacturing and supply chain performance using measures that were primarily operations-centered rather than financial. Additionally, the authors found that agile manufacturing fully mediates the relationship between environmental uncertainty and supply chain performance. Originality/value The authors’ model, though simple, provides a base for future research for them and other researchers who can incorporate other impacting variables into the model. The study results show that uncertainty can be a force for good and that utilizing agile manufacturing can be a new source of opportunity.
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