组织文化研究的演化路径、知识图谱及研究展望

The Evolution Path, Mapping Knowledge and Outlook of Organizational Culture Research

与以往关于组织文化研究的定性综述不同,本文首次运用文献计量学的研究方法,对7本国际顶级管理学期刊在1983-2018年刊发的518篇组织文化研究文献的引文和主题词进行定量的共引分析,绘制了35年来组织文化研究领域的演化路径和知识图谱。在文献计量分析的基础上,本文归纳了现有组织文化领域的研究范式,讨论了现有研究的不足。最后,本文讨论了未来的研究方向,并以组织文化基本假设的研究为例,对互联网时代情境下企业"长期主义"基本假设的研究视角进行了展望。

Organizational culture is a popular topic in the field of organizational management,but the existing research has not reached a consensus on the research paradigm.Although the existing reviews of qualitative research can bring us some important enlightenment,the quantitative research reviews based on bibliometric methods can sum up the research paradigm in this field by scientifically drawing the evolution path and mapping knowledge of this field.Complementing prior reviews,we conduct a bibliometric analysis of 518 organizational culture articles in 7 top management journals from1983 to 2018,and provide a different perspective by investigating the evolution path and mapping knowledge in the field of organizational culture over time via co-citation and co-occurrence analyses.On this basis,we analyze the four elements of the research paradigm in terms of underlying assumptions,research methods,research questions and scientific community,tease out the three types of organizational culture research paradigms of leadership dynamics,environmental dynamics and hybrid dynamics,and then analyze the deficiencies of the existing organizational culture research.Following the research paradigm and mapping knowledge of organizational culture,we discuss the future research directions and research framework in the field of organizational culture.Future researchers can refer to this research framework to put forward research questions,research hypotheses and research mechanisms,and explore more abundant research perspectives when conducting theoretical research on organizational culture.Taking the underlying assumption research of organizational culture proposed by Schein in 1985 as an example,we further investigate the insights of long-term underlying assumptions in the era of Internet.