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Can Fintech enhance firms’ ambidextrous innovation capabilities? Perspective of organizational resilience

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  • Liu, Yuanyang
  • Tian, Xuemei
  • Long, Yang

Abstract

This study examines how financial technology (Fintech) influences firms’ ambidextrous innovation, focusing on breakthrough and incremental innovation, with organizational resilience as a moderating factor. The analysis uses a panel dataset of 23,007 observations from Chinese A-shared companies (2010–2022), addresses endogeneity with instrumental variables, propensity score matching, and the Heckman correction. Results indicate that Fintech significantly enhances innovation, with a greater impact on breakthrough innovation. Organizational resilience magnifies this effect, highlighting its critical role. Robustness tests confirm the findings. The study provides policymakers and managers with insights into leveraging Fintech and resilience to drive innovation in dynamic environments.

Suggested Citation

  • Liu, Yuanyang & Tian, Xuemei & Long, Yang, 2025. "Can Fintech enhance firms’ ambidextrous innovation capabilities? Perspective of organizational resilience," Finance Research Letters, Elsevier, vol. 79(C).
    • Handle: RePEc:eee:finlet:v:79:y:2025:i:c:s1544612325004337
    DOI: 10.1016/j.frl.2025.107170
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    Keywords

    Fintech; Ambidextrous innovation; Breakthrough innovation; Incremental innovation; Organizational resilience;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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