管理评论 ›› 2020, Vol. 32 ›› Issue (8): 281-294.

• 组织与战略管理 • 上一篇    下一篇

组织惯例的动态演化机制研究——基于组织行动交互作用

于泽川, 林海芬, 曲廷琛   

  1. 大连理工大学经济管理学院, 大连 116024
  • 收稿日期:2017-09-19 出版日期:2020-08-28 发布日期:2020-09-05
  • 通讯作者: 林海芬(通讯作者),大连理工大学经济管理学院副教授。
  • 作者简介:于泽川,大连理工大学经济管理学院硕士研究生;曲廷琛,大连理工大学经济管理学院博士研究生。
  • 基金资助:
    国家自然科学基金面上项目(71572025;71872026);国家自然科学基金重点项目(71632004);2018年度辽宁省社会科学规划基金项目(L18BGL039);辽宁省“兴辽英才计划”青年拔尖人才项目(XLYC1907125);中央高校基本科研业务费专项资金资助项目(DUT19RW205)。

The Dynamic Evolution Mechanism of Organizational Routines——A Study Based on the Interaction of Organizational Actions

Yu Zechuan, Lin Haifen, Qu Tingchen   

  1. School of Economics and Management, Dalian University of Technology, Dalian 116024
  • Received:2017-09-19 Online:2020-08-28 Published:2020-09-05

摘要: 20世纪80年代以来,学术界打破了对组织惯例代表组织稳定性来源的传统认知,提出组织惯例具有显著的自我变化和演化属性,本质上代表组织稳定与变革共存的悖论性态势,由此逐渐形成组织惯例的动态观,而揭示组织惯例的动态演化机制也成为该领域的核心研究问题。尤其是组织惯例的二维构成观指出,组织惯例由启示面和执行面构成,两者之间存在持续互动关系,而这种互动关系正是组织惯例之所以会发生演化的根本原因。在二维观的基础上,本研究对惯例启示面和执行面的内容进行矩阵化表达,利用转移概率矩阵(一阶Markov矩阵)及相应的转移概率构建启示面和执行面的交互作用数学模型,模拟组织具体行动之间的路径依赖和交互依赖过程,并根据其概率的变化和选择性保留过程进行仿真实验。仿真结果证实组织惯例具有持续的自我演化性,并揭示了组织惯例的动态演化规律。

关键词: 组织惯例, 动态演化, 组织行动, 交互作用, 转移概率矩阵

Abstract: Since the 1980s, scholars have changed their traditional cognition on organizational routines that routines represent where the stability comes from, and put forward the new concept that routines may show the significant characteristics of self-change and evolution, which indicates that organizational routines reflect a paradoxical situation with the coexistence of both stability and change. Accordingly, scholars have gradually set up the dynamic theory of organizational routines, and consequently regarded the internal dynamic evolution mechanism as the core research question in this field. Particularly, the two-component view of organizational routines shows that routines consist of the performative aspect and the ostensive aspect and there are consistent interactions between the two aspects, which may be the source of routines dynamics. Based on this two-component view, this research adopts the Transition Probability Matrix (First Order Markov Matrix) and Transition Probability to show the two aspects of organizational routines and their interaction and construct the dynamic evolution model. Through a series of tests which simulate the path dependence and interaction between actions and the process of depending on probability and selective retention, this research confirms the sustainable dynamics of organizational routines and shows the evolution rules.

Key words: organizational routines, dynamic evolution, organization action, interaction, transition probability matrix