Research on the Driven Path of Ambidextrous Innovation of Science and Technology Enterprises: An Exploration Based on Fuzzy Set Qualitative Comparative Analysis

被引:0
|
作者
Guo, Jinhua [1 ]
Zhang, Ying [1 ]
Cao, Cuizhen [1 ]
机构
[1] Shanxi Univ Finance & Econ, Sch Business Adm, Taiyuan 030006, Peoples R China
关键词
PRODUCTIVITY; EXPLOITATION;
D O I
10.1155/2022/6173263
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Ambidextrous innovation is an essential way for enterprises to respond to environmental changes and create competitive advantage. This study constructs the "technology-organization-environment" (TOE) framework of enterprise ambidextrous innovation, aiming to explore the configuration effect of the linkage matching of technology, organization, and environment on enterprise ambidextrous innovation and the differentiated driving mode of enterprise ambidextrous innovation. In the study, the fuzzy set qualitative comparative analysis (fsQCA) is used to conduct an empirical study on the samples of 34 listed companies on the Science and Technology Innovation Board. The findings are as follows: (1) technical conditions (hardware facilities and software facilities), organizational conditions (human capital investment and R&D investment), and environmental conditions (market competition and government subsidies) are not necessary conditions for ambidextrous innovation individually; (2) there are three driven paths of ambidextrous innovation, namely, the technology-driven path under the pressure of market competition, the technology-promoted path under government support, and the resource-rich proactive change path. The conclusion has enlightening significance for guiding enterprises to attach importance to the technology and organizational conditions in the process of enterprise ambidextrous innovation.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Carbon emission reduction driven by ambidextrous green innovation strategies: A fuzzy-set qualitative comparative analysis approach
    Yin, Jianhua
    Wang, Tao
    [J]. JOURNAL OF BUSINESS RESEARCH, 2024, 182
  • [2] Influence of the configuration effect of environment and organization factors on the innovation of information technology enterprises-Qualitative comparative analysis based on fuzzy set
    Qin, Yuanjian
    Yang, Jie
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (06) : 6765 - 6775
  • [3] Using Fuzzy Set Qualitative Comparative Analysis in Social Science Research
    Cizel, Rabia
    Askun, Volkan
    Cizel, Beykan
    [J]. ISTANBUL UNIVERSITESI SOSYOLOJI DERGISI-ISTANBUL UNIVERSITY JOURNAL OF SOCIOLOGY, 2022, 42 (02): : 549 - 588
  • [4] The Conditional Configuration Path for Private Enterprises Participating in PPP: A Fuzzy-Set Qualitative Comparative Analysis
    Sun, Yanfang
    Wang, Liyang
    Zhang, Tao
    [J]. BUILDINGS, 2022, 12 (04)
  • [5] Research on Innovation Capability of Regional Innovation System Based on Fuzzy-Set Qualitative Comparative Analysis: Evidence from China
    Huang, Zhenyu
    [J]. SYSTEMS, 2022, 10 (06):
  • [6] Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research – the rise of a method
    Sascha Kraus
    Domingo Ribeiro-Soriano
    Miriam Schüssler
    [J]. International Entrepreneurship and Management Journal, 2018, 14 : 15 - 33
  • [7] Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research - the rise of a method
    Kraus, Sascha
    Ribeiro-Soriano, Domingo
    Schussler, Miriam
    [J]. INTERNATIONAL ENTREPRENEURSHIP AND MANAGEMENT JOURNAL, 2018, 14 (01) : 15 - 33
  • [8] Value Creation in Platform Enterprises: A Fuzzy-Set Qualitative Comparative Analysis
    Du, Huayong
    Teng, Ying
    Ma, Zhenzhong
    Guo, Xuguang
    [J]. SUSTAINABILITY, 2022, 14 (09)
  • [9] Applying Enterprises' Frugal Innovation in Ecologically Vulnerable Areas: A Fuzzy-Set Qualitative Comparative Analysis of the Influence Paths
    Zhang, Shudan
    Su, Rina
    Zhao, Yunhui
    Liu, Jing
    Li, Chenlu
    [J]. SUSTAINABILITY, 2023, 15 (09)
  • [10] Research on two-stage public opinion evolution configuration path based on fuzzy-set qualitative comparative analysis
    Hou, Yanhui
    Meng, Fan
    Wang, Jiakun
    Li, Yun
    [J]. ASLIB JOURNAL OF INFORMATION MANAGEMENT, 2024, 76 (04) : 677 - 693