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Enhancing Digital Innovation Ecosystem Resilience through the Interplay of Organizational, Technological, and Environmental Factors: A Study of 31 Provinces in China Using NCA and fsQCA

Author

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  • Ming Zhang

    (College of Economics & Management, China Three Gorges University, Yichang 443002, China)

  • Ruoran Cheng

    (College of Economics & Management, China Three Gorges University, Yichang 443002, China)

  • Jiabao Fei

    (College of Economics & Management, China Three Gorges University, Yichang 443002, China)

  • Ribesh Khanal

    (College of Economics & Management, China Three Gorges University, Yichang 443002, China)

Abstract

Digital innovation ecosystems are currently experiencing a period of growth and are navigating uncertain environments. Improving resilience is an important prerequisite for ensuring sustainable developments. This study, based on the technology, organization, and environment (TOE) framework, examines the impact of multilevel antecedent conditions on digital innovation ecosystem resilience using data from 31 Chinese provinces. By applying a necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA), this study reveals complex causal relationships between five antecedents at the “technology–organization–environment” levels and digital innovation ecosystem resilience, along with the improvement paths of digital innovation ecosystem resilience. The results show the following: Firstly, individual antecedent conditions alone do not constitute necessary conditions for high or non-high digital innovation ecosystem resilience. Secondly, there are five configuration paths leading to high digital innovation ecosystem resilience, namely, a digital technology-enabled organization–environment-driven type (H1a), an organization–environment dual-wheel-driven type (H1b), a digital technology-led environment-driven type (H2), a technology–organization–environment trilateral type (H3), and a pressure–organization-driven type (H4). Thirdly, three configuration paths result in non-high digital innovation ecosystem resilience, exhibiting an asymmetric relationship with paths associated with the configuration paths of high digital innovation ecosystem resilience. Finally, potential substitution relationships exist among antecedent conditions at the technological, organizational, and environmental levels.

Suggested Citation

  • Ming Zhang & Ruoran Cheng & Jiabao Fei & Ribesh Khanal, 2024. "Enhancing Digital Innovation Ecosystem Resilience through the Interplay of Organizational, Technological, and Environmental Factors: A Study of 31 Provinces in China Using NCA and fsQCA," Sustainability, MDPI, vol. 16(5), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1946-:d:1346880
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    References listed on IDEAS

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    1. Ragin, Charles C., 2006. "Set Relations in Social Research: Evaluating Their Consistency and Coverage," Political Analysis, Cambridge University Press, vol. 14(3), pages 291-310, July.
    2. Hongmei Chen & Songlin Cai, 2023. "Research on Evaluation and Influencing Factors of Regional Digital Innovation Ecosystem Resilience—Empirical Research Based on Panel Data of 30 Provinces and Cities in China," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    3. 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.
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