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How to Improve the Synergetic Development Capabilities of the Innovation Ecosystems of High-Tech Industries in China: An fsQCA Analysis Based on the TOE Framework

Author

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  • Mingqiu Li

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Heng Chen

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Jinqiu Li

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Xiaolei Liu

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

Abstract

This study explores the synergetic development capability of China’s high-tech industry innovation ecosystem and the diversification path necessary to improve it. Based on the four-spiral perspective, the system synergetic development index was constructed, and the composite system collaborative degree model was used to measure the synergetic development capability of the high-tech industry innovation ecosystem across 30 provinces and cities in China from 2012 to 2020. The influencing factor model of improving the system’s synergetic development capability was constructed under the technology–organization–environment (TOE) framework, and a fuzzy set qualitative comparative analysis (fsQCA) method was used to explore the multiple paths available to improve the synergetic development ability of the system. The results show that the four-helix system’s synergetic development capability is poor and needs to be improved. The “technology–organization–environment” conditions cannot be used alone as the necessary conditions for the improvement in the system’s synergetic development capability but need to exert a joint, matching effect through the combination of different factors. In addition, market openness is crucial on the path toward the highly synergetic development of the system. The research results not only provide a theoretical basis for comprehensively improving the system’s synergetic development capability but also provide a practical reference for the differentiation path being revealed. In short, this study has important theoretical and practical significance to promoting the synergetic development and benign evolution of the high-tech industry innovation ecosystem.

Suggested Citation

  • Mingqiu Li & Heng Chen & Jinqiu Li & Xiaolei Liu, 2023. "How to Improve the Synergetic Development Capabilities of the Innovation Ecosystems of High-Tech Industries in China: An fsQCA Analysis Based on the TOE Framework," Sustainability, MDPI, vol. 15(16), pages 1-32, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12579-:d:1220356
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    as
    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. Shimei Jiang & Yimei Hu & Ziyuan Wang, 2019. "Core Firm Based View on the Mechanism of Constructing an Enterprise Innovation Ecosystem: A Case Study of Haier Group," Sustainability, MDPI, vol. 11(11), pages 1-26, June.
    3. Lijie Feng & Jiarui Lu & Jinfeng Wang, 2021. "A Systematic Review of Enterprise Innovation Ecosystems," Sustainability, MDPI, vol. 13(10), pages 1-26, May.
    4. Ron Adner & Rahul Kapoor, 2010. "Value creation in innovation ecosystems: how the structure of technological interdependence affects firm performance in new technology generations," Strategic Management Journal, Wiley Blackwell, vol. 31(3), pages 306-333, March.
    5. Olya, Hossein G.T. & Altinay, Levent, 2016. "Asymmetric modeling of intention to purchase tourism weather insurance and loyalty," Journal of Business Research, Elsevier, vol. 69(8), pages 2791-2800.
    6. Prokop, Viktor & Hajek, Petr & Stejskal, Jan, 2021. "Configuration Paths to Efficient National Innovation Ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    7. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
    8. Granstrand, Ove & Holgersson, Marcus, 2020. "Innovation ecosystems: A conceptual review and a new definition," Technovation, Elsevier, vol. 90.
    9. Deborah Dougherty & Danielle D. Dunne, 2011. "Organizing Ecologies of Complex Innovation," Organization Science, INFORMS, vol. 22(5), pages 1214-1223, October.
    10. Mention, Anne-Laure & Barlatier, Pierre-Jean & Josserand, Emmanuel, 2019. "Using social media to leverage and develop dynamic capabilities for innovation," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 242-250.
    11. Paavo Ritala & Leila Armila & Kirsimarja Blomqvist, 2009. "Innovation Orchestration Capability — Defining The Organizational And Individual Level Determinants," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 569-591.
    12. Helfat, Constance E. & Raubitschek, Ruth S., 2018. "Dynamic and integrative capabilities for profiting from innovation in digital platform-based ecosystems," Research Policy, Elsevier, vol. 47(8), pages 1391-1399.
    13. Radziwon, Agnieszka & Bogers, Marcel, 2019. "Open innovation in SMEs: Exploring inter-organizational relationships in an ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 573-587.
    14. Xu, Guannan & Wu, Yuchen & Minshall, Tim & Zhou, Yuan, 2018. "Exploring innovation ecosystems across science, technology, and business: A case of 3D printing in China," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 208-221.
    15. Beltagui, Ahmad & Rosli, Ainurul & Candi, Marina, 2020. "Exaptation in a digital innovation ecosystem: The disruptive impacts of 3D printing," Research Policy, Elsevier, vol. 49(1).
    16. Pappas, Ilias O. & Kourouthanassis, Panos E. & Giannakos, Michail N. & Chrissikopoulos, Vassilios, 2016. "Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions," Journal of Business Research, Elsevier, vol. 69(2), pages 794-803.
    17. Chae, Bongsug (Kevin), 2019. "A General framework for studying the evolution of the digital innovation ecosystem: The case of big data," International Journal of Information Management, Elsevier, vol. 45(C), pages 83-94.
    18. Gomes, Leonardo Augusto de Vasconcelos & Facin, Ana Lucia Figueiredo & Salerno, Mario Sergio & Ikenami, Rodrigo Kazuo, 2018. "Unpacking the innovation ecosystem construct: Evolution, gaps and trends," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 30-48.
    19. Aleksandra Kuzior & Iryna Pidorycheva & Viacheslav Liashenko & Hanna Shevtsova & Nataliia Shvets, 2022. "Assessment of National Innovation Ecosystems of the EU Countries and Ukraine in the Interests of Their Sustainable Development," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
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