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Research on Collaborative Innovation of Intelligent Connected Vehicles Industry Based on Test Field: Embedded Case Study from the Perspective of Open Innovation

Author

Listed:
  • Fei Zhou

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Yingqi Liu

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Ruijun Chen

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Intelligent Connected Vehicles (ICV) are reshaping the pattern of traditional automobile industry, and they have gradually become the strategic direction of more and more countries. The test field and demonstration zones, as important bridges linking the technology side and market side of the ICV, are crucial in the development of its technology and industry. At the same time, the integrated construction of the test field and demonstration zones also provides a platform for collaborative innovation in the industry. In this paper, the test field and demonstration zones of the ICV industry in Beijing are selected as the case study object, and the grounded theory research method is used for reference. Based on the logic of “motivation-behavior-result”, the story line of collaborative innovation of ICV industry that is based on the test field is explored. Furthermore, open innovation is incorporated to analyze and optimize the industrial collaborative innovation mechanism that is based on the test field. On this basis, the paper discusses two collaborative innovation paths of the ICV industry based on the test field: the path that is led by the core enterprises in the test field and the path led by the test field. Finally, from the perspective of the government and management departments, several suggestions are put forward for promoting the collaborative innovation of the ICV industry based on the test field, in order to provide reference for the construction and operation of the domestic ICV test field and demonstration zones and the collaborative innovation development of the ICV industry.

Suggested Citation

  • Fei Zhou & Yingqi Liu & Ruijun Chen, 2021. "Research on Collaborative Innovation of Intelligent Connected Vehicles Industry Based on Test Field: Embedded Case Study from the Perspective of Open Innovation," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5880-:d:560804
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    References listed on IDEAS

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    1. Xie, Xuemei & Wang, Hongwei, 2020. "How can open innovation ecosystem modes push product innovation forward? An fsQCA analysis," Journal of Business Research, Elsevier, vol. 108(C), pages 29-41.
    2. Lyu, Yibo & Zhu, Yuqing & Han, Shaojie & He, Binyuan & Bao, Lining, 2020. "Open innovation and innovation "Radicalness"—the moderating effect of network embeddedness," Technology in Society, Elsevier, vol. 62(C).
    3. Liu, Peng & Xu, Zhigang & Zhao, Xiangmo, 2019. "Road tests of self-driving vehicles: Affective and cognitive pathways in acceptance formation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 354-369.
    4. Lee, Dasom & Hess, David J., 2020. "Regulations for on-road testing of connected and automated vehicles: Assessing the potential for global safety harmonization," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 85-98.
    5. Pustovrh, Ales & Rangus, Kaja & Drnovšek, Mateja, 2020. "The role of open innovation in developing an entrepreneurial support ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
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    Cited by:

    1. Wei Feng & Ling Zhao & Yue Chen, 2022. "Research on Collaborative Innovation Mode of Enterprise Group from the Perspective of Comprehensive Innovation Management," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    2. Serdar Erişen, 2023. "An Empirical Study of the Technoparks in Turkey in Investigating the Challenges and Potential of Designing Intelligent Spaces," Sustainability, MDPI, vol. 15(13), pages 1-22, June.

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