Cooperation, Network Characteristics, and Innovation Performance——A Study on Shanghai IT services Industry

Cooperation, Network Characteristics, and Innovation Performance——A Study on Shanghai IT services Industry

论文摘要

Social network analysis is becoming more and more prevalent in studying regional economies. This paper investigated the innovation performance of enterprises in IT services cluster using social network analysis techniques. Based on an empirical analysis of 102 research institutes and 710 enterprises providing IT services in Shanghai, China, we verify that cooperation with research institutes could boost the network position of an enterprise in its ego-network, featuring strong ties, a network broker position and a wider network scope. Regression results demonstrate that all these advantages have significant positive influence on the innovation performance of enterprises, which is partly in contrast with Granovetter’s hypothesis concerning the "strength of weak ties". We also show that the background of an enterprise except firm age, has positive impacts on its innovation performance and some characteristics of its network structure. Both the firm size and its entrance duration have positive impacts on its cooperation with research institutes.

论文目录

  • 1. INTRODUCTION
  • 2. THEORY AND HYPOTHESES
  •   2.1 The Resource-Based View(RBV)and the Knowledge-Based View(KBV)
  •   2.2 Hypotheses
  •     2.2.1 Effect of cooperation with research institutes on the network structure of an enterprise
  •     2.2.2 Relationship between the background of an enterprise and innovation performance of theenterprise
  •     2.2.3 Relationship between the background of anenterprise and the network structure of the enterprise
  •     2.2.4 Relationship between the network structure of an enterprise and its innovation performance
  •     2.2.5 Relationship between the background of anenterprise and its cooperation with research institutes
  • 3. DATA,NETWORK CONSTRUCTION AND MEASUREMENT
  •   3.1 Data Collection and Preprocessing
  •   3.2 Network Construction
  •   3.3 Measurement of Variables
  • 4. DATA ANALYSIS AND RESUTLS
  •   4.1 Regression Results and Analysis
  •   4.2 Confirmation of the concept model using Structure Equation Model(SEM)
  • 5. CONCLUSIONS AND IMPLICATIONS.
  •   5.1 Conclusions
  • 文章来源

    类型: 国际会议

    作者: Juan Shi,Xue Li

    来源: 2019 the 2nd International Conference on Intelligent Science and Technology (ICIST 2019) 2019-07-10

    年度: 2019

    分类: 基础科学,经济与管理科学

    专业: 数学,信息经济与邮政经济

    单位: Shaan’xi Normal University

    分类号: F49;O157.5

    DOI: 10.26914/c.cnkihy.2019.042170

    页码: 36-42

    总页数: 7

    文件大小: 395k

    下载量: 4

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