科技管理创新

风险投资网络社群演化模型构建——基于扎根理论的探索性研究

  • 张晨 ,
  • 党兴华
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  • (1.西安邮电大学 经济与管理学院,陕西 西安 710061;2.西安理工大学 经济与管理学院,陕西 西安 710054)
张晨(1991—),女,陕西西安人,博士,西安邮电大学经济与管理学院讲师,研究方向为风险投资与创业管理;党兴华(1952—),男,陕西蒲城人,博士,西安理工大学经济与管理学院教授、博士生导师,研究方向为技术创新理论与管理。

收稿日期: 2021-10-08

  修回日期: 2022-03-02

  网络出版日期: 2022-11-10

基金资助

国家自然科学基金项目(71572146,72002170);教育部人文社会科学规划基金项目(20YJA790033,20YJC630010);陕西省软科学研究计划一般项目(2018KRM040,2017KRM060,2022KRM186,2020KRM027);陕西省教育厅重点科学研究计划项目(21JT037);陕西省哲学社会科学重点研究基地项目(20JZ090)

Construction of the Evolutionary Model of Venture Capital Network Community: An Exploratory Research Based on Grounded Theory

  • Zhang Chen ,
  • Dang Xinghua
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  • (1.School of Economics and Management, Xi'an University of Posts & Telecommunications, Xi'an 710061, China; 2.School of Economics and Management, Xi'an University of Technology, Xi'an 710054, China)

Received date: 2021-10-08

  Revised date: 2022-03-02

  Online published: 2022-11-10

摘要

为缓解创新创业过程中融资分配不均难题,风险投资行业基于联合伙伴选择偏好而产生的风险投资网络社群现象愈加普遍,理解风险投资网络社群演化机制对于构建高效的风险投资网络社群具有重要意义。采用扎根理论对风险投资网络社群演化影响因素和演化路径进行挖掘,提炼相关概念和范畴,进而构建风险投资网络社群演化动因—过程—结果作用路径和整体模型。结果表明,风险投资网络社群在机构地位、二维邻近、社群嵌入等不同层次影响因素作用下,引起风险投资网络社群关系形成和解散,并随着风险投资网络社群关系演化的持续累积,最终导致风险投资网络呈现社群集聚性、地位不对称性和可达性等显著差异。研究结论有助于从中观视角丰富风险投资网络研究,并深化对风险投资网络社群动态演化的认知。

本文引用格式

张晨 , 党兴华 . 风险投资网络社群演化模型构建——基于扎根理论的探索性研究[J]. 科技进步与对策, 2022 , 39(21) : 23 -32 . DOI: 10.6049/kjjbydc.2021100116

Abstract

As a key element of innovation and entrepreneurship investment and financing market, venture capital plays an important role in promoting the construction of innovation-oriented nation of China.At present, China's innovation and entrepreneurship is facing the problem of uneven distribution of service resources, especially the uneven distribution of financing proportion.However, as one of the key investment strategies for capital aggregation and resource exchange between venture capital companies, syndication has been widely applied in the venture capital industry and promoted the emergence of venture capital network with the trend of continuous dynamic adjustment.With the development of venture capital network, the partner selection preference of venture capital firms promotes the emergence of network community phenomenon, and with the passing of time, the phenomenon of community becomes more and more significant, and the number and scale of community increase significantly.Although existing researches have paid attention to venture capital network community, they have ignored its dynamic evolution process.Therefore, it is urgent to sort out the components of the research on the evolution of venture capital network community, integrate the causal relationship between the elements, realize the sustainable evolution of efficient venture capital network community, and optimize the ecological environment of innovation and entrepreneurship in China.#br#Existing studies have focused on the phenomenon of community in venture capital networks and the positive impact of community on the development of venture capital industry and new ventures, but there is still a lack of direct research on the evolution of community in venture capital networks.Although the influencing factors of syndication partner selection are somewhat similar to those of the evolution of venture capital network community, there are significant differences in subject scope and meaning dimension.In addition, existing researches focus on the the final result of evolution of venture capital network community, and pay little attention to the evolution process, and lack research to connect the evolution cause, evolution process and evolution result.#br#Using the method of in-depth interview, this paper collects data from the employees of representative venture capital companies,explores the influencing factors and paths of the evolution of venture capital network community based on the grounded theory, and extracts five categories of "two-dimensional proximity", "enterprise status", "community embeddedness", "community bond evolution" and "community structure evolution", and sort out "community evolution" as the core category.On the basis of this, the paper constructs the action path of "cause-process-result" and the overall model of the evolution of venture capital network community.#br#It is found that community embeddedness, two-dimensional proximity and firm status are the influential factors of the evolution of venture capital network communities with significant hierarchical differences.Firm status is the influential factor at the micro-subject level, including the market position and community position.Two-dimensional proximity, including geographic proximity and cognitive proximity, is the influencing factor at the binary-relation level.Community embeddedness, including relationship embeddedness and structure embeddedness, is an influential factor at the community level.The evolution of community ties is an essential element in the evolution of venture capital network community, including the dynamic of community ties from formation, maintenance to dissolution.The evolution of community structure is the element and final result of the evolution of venture capital network community, which can be directly presented through the network topology.Specifically, the evolution of community structure is finally reflected in the evolution of clustering, status asymmetry, and accessibility.Two-dimensional proximity, firm status, and community embeddedness directly affect the evolution of venture capital network community ties.The gradual accumulation of the evolution of venture capital network community ties leads the evolution of the venture capital network community structure.#br#This paper has constructed the path and overall model of the venture capital network community evolution, enriched the meso perspective of venture capital network research, integrated the research perspective of influencing factors on the evolution of venture capital network community and deepened the dynamic cognition of the venture capital network community.The results can provide suggestions for government departments to formulate relevant policies to promote venture capital and entrepreneurship, and improve the efficient operation of venture capital network communities.Researchers can carry out empirical research and simulation analysis on the basis of existing research conclusions, further verify the research conclusions of this paper, and combine qualitative research and quantitative research to enhance the scientific nature and effectiveness of the research conclusions.#br#

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