Applying path analysis method in defining effective factors in organisation agility
Applying path analysis method in defining effective factors in organisation agility
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DOI：
10.1080/00207540802566410
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发表时间：
2010-03
影响因子：
9.2
通讯作者：
A. T. Eshlaghy;A. Mashayekhi;A. Rajabzadeh;M. M. Razavian-M.
中科院分区：
文献类型：
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作者：
A. T. Eshlaghy;A. Mashayekhi;A. Rajabzadeh;M. M. Razavian-M.
商业环境的变化正在引导企业采用一种新的生产模式，称为敏捷制造。这个术语远离了传统的大规模生产模式，专注于在客户需要时制造高度定制的产品。在本文中，我们提出了一个初步的方法，敏捷组织的基础上，在伊朗的工业组织的案例研究。敏捷组织的概念模型已经制定，根据案例研究的结论。本研究采用探索性因素分析，通过路径分析得出结论，为敏捷组织领域未来的研究提出可能的路径。通过对组织敏捷性影响因素的定义，以伊朗某工业组织为研究对象，通过问卷调查的方式收集了组织敏捷性所需的信息，并将其作为自变量，采用路径分析法考察了各变量对组织敏捷性的直接和间接影响。通过定义t值指标和路径分析最终模型，将直接影响组织敏捷性的内部变量与间接影响组织敏捷性的外部变量区分开来。该方法利用偏标准化回归系数，根据影响因变量确定各自变量的优先级和等级。
Changes in business environment are leading firms to adopt a new production model called agile manufacturing. This term moves away from the traditional mass production paradigm and focuses on manufacturing highly customised products when customers require them. In this paper, we present an initial approach to agile organisation based on case studies in an Iranian industrial organisation. An agile organisation conceptual model has been drawn up, based on the conclusions of the case study. The study presented here is of an exploratory factor analysis and the conclusions are drawn through path analysis, propose possible routes for future research in the field of agile organisation. By the definition of effective factor on organisation agility, as independent variables required information were compiled through questionnaires which are about an Iranian industrial organisation, and then direct and in-direct effects of the variables on organisation agility were surveyed as a depended variable by the path analysis method. Interior variables which directly affect on organisation agility are distinguished from exterior variables which indirectly affect on it due to t-value indicator and final model of path analysis which were defined for researched organisation. By this method, with partial standardised regression coefficient, the priority and grade of every independent variable could be defined based on effecting depended variable.