AI-Driven FinTech Innovation and Corporate Financial Sustainability: Evidence from FinTech Firms in ASEAN Emerging Markets

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DOI: https://doi.org/10.28924/2291-8639-24-2026-298
Published: Sep 21, 2026
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Parichat Vongpatchim, Rathakarn Buasri, Sup Amornpinyo, Thanomsilp Jankanakittikul, AI-Driven FinTech Innovation and Corporate Financial Sustainability: Evidence from FinTech Firms in ASEAN Emerging Markets, Int. J. Anal. Appl., 24 (2026), 298.

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Parichat Vongpatchim, Rathakarn Buasri, Sup Amornpinyo, Thanomsilp Jankanakittikul

Abstract

This study investigates the impact of AI-driven FinTech innovation on corporate financial sustainability, focusing on FinTech firms operating in ASEAN emerging markets. Drawing on the Resource-Based View (RBV) and dynamic capabilities theory, it conceptualizes artificial intelligence–enabled financial technologies as strategic capabilities that enhance firms’ long-term financial resilience. Using an unbalanced panel dataset of ASEAN FinTech firms, the study employs fixed-effects panel regression to examine the direct effect of AI-driven FinTech innovation and the moderating role of firm size. The results indicate that AI-driven FinTech innovation positively and significantly enhances corporate financial sustainability, while firm size strengthens this relationship, suggesting that larger firms are better positioned to leverage AI-based innovations. In addition, leverage negatively affects financial sustainability, whereas firm age and growth exert positive effects. These findings remain robust after controlling for firm and year fixed effects. This study contributes firm-level evidence from emerging markets and extends RBV and dynamic capabilities theory to the context of AI-driven financial innovation, offering relevant implications for managers and policymakers.

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References

  1. E. I. Altman, Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy, J. Finance 23 (1968), 589–609. https://doi.org/10.2307/2978933.
  2. R. Ameer, R. Othman, Sustainability Practices and Corporate Financial Performance: A Study Based on the Top Global Corporations, J. Bus. Ethics 108 (2012), 61–79. https://doi.org/10.1007/s10551-011-1063-y.
  3. D.W. Arner, J. Barberis, R.P. Buckley, The Evolution of FinTech: A New Post-Crisis Paradigm, Georgetown J. Int. Law 47 (2016), 1271–1319.
  4. J. Barney, Firm Resources and Sustained Competitive Advantage, J. Manage. 17 (1991), 99–120. https://doi.org/10.1177/014920639101700108.
  5. T. Beck, A. Demirgüç-Kunt, R. Levine, Financial Institutions and Markets across Countries and over Time: The Updated Financial Development and Structure Database, World Bank Econ. Rev. 24 (2010), 77-92. https://doi.org/10.1093/wber/lhp016.
  6. J. Begenau, M. Farboodi, L. Veldkamp, Big Data in Finance and the Growth of Large Firms, J. Monet. Econ. 97 (2018), 71–87. https://doi.org/10.1016/j.jmoneco.2018.05.013.
  7. A. Bharadwaj, O. A. El Sawy, P. A. Pavlou, N. Venkatraman, Digital Business Strategy: Toward a Next Generation of Insights, MIS Q. 37 (2013), 471–482. https://doi.org/10.25300/misq/2013/37:2.3.
  8. S. Bresciani, A. Ferraris, M. Romano, G. Santoro, Digital Transformation Management for Agile Organizations: a Compass to Sail the Digital World, Emerald Publishing Limited, 2021. https://doi.org/10.1108/9781800431713.
  9. E. Brynjolfsson, A. McAfee, The Business of Artificial Intelligence, Harv. Bus. Rev., July 18, 2017. https://hbr.org/2017/07/the-business-of-artificial-intelligence.
  10. M. A. Chen, Q. Wu, B. Yang, How Valuable Is FinTech Innovation?, Rev. Financ. Stud. 32 (2019), 2062–2106. https://doi.org/10.1093/rfs/hhy130.
  11. S. Claessens, J. Frost, G. Turner, F. Zhu, FinTech Credit Markets around the World: Size, Drivers and Policy Issues, BIS Q. Rev., September 2018. https://www.bis.org/publ/qtrpdf/r_qt1809e.htm.
  12. I. M. Cockburn, R. Henderson, S. Stern, The Impact of Artificial Intelligence on Innovation, in: A. Agrawal, J. Gans, A. Goldfarb (Eds.), The Economics of Artificial Intelligence, University of Chicago Press, Chicago, pp. 115–148, (2019). https://doi.org/10.7208/chicago/9780226613475.003.0004.
  13. W. M. Cohen, D. A. Levinthal, Absorptive Capacity: A New Perspective on Learning and Innovation, Adm. Sci. Q. 35 (1990), 128–152. https://doi.org/10.2307/2393553.
  14. P. Gomber, J.-A. Koch, M. Siering, Digital Finance and FinTech: Current Research and Future Research Directions, J. Bus. Econ. 87 (2017), 537–580. https://doi.org/10.1007/s11573-017-0852-x.
  15. F. Modigliani, M. H. Miller, Corporate Income Taxes and the Cost of Capital: A Correction, Am. Econ. Rev. 53 (1963), 433–443.
  16. S. C. Myers, The Capital Structure Puzzle, J. Finance 39 (1984), 574–592. https://doi.org/10.1111/j.1540-6261.1984.tb03646.x.
  17. D. C. North, Institutions, Institutional Change and Economic Performance, Cambridge University Press, 1990. https://doi.org/10.1017/CBO9780511808678.
  18. P. K. Ozili, Impact of Digital Finance on Financial Inclusion and Stability, Borsa Istanb. Rev. 18 (2018), 329–340. https://doi.org/10.1016/j.bir.2017.12.003.
  19. S. Raisch, S. Krakowski, Artificial Intelligence and Management: The Automation–Augmentation Paradox, Acad. Manage. Rev. 46 (2021), 192–210. https://doi.org/10.5465/amr.2018.0072.
  20. A. V. Thakor, Fintech and Banking: What Do We Know?, J. Financ. Intermediation 41 (2020), 100833. https://doi.org/10.1016/j.jfi.2019.100833.
  21. D. J. Teece, Explicating Dynamic Capabilities: The Nature and Microfoundations of (Sustainable) Enterprise Performance, Strat. Manage. J. 28 (2007), 1319–1350. https://doi.org/10.1002/smj.640.
  22. D. J. Teece, G. Pisano, A. Shuen, Dynamic Capabilities and Strategic Management, Strat. Manage. J. 18 (1997), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z.
  23. World Bank, Fintech and the Future of Finance: Market and Policy Implications, World Bank, Washington, DC, 2022.
  24. S. A. Zahra, G. George, Absorptive Capacity: A Review, Reconceptualization, and Extension, Acad. Manage. Rev. 27 (2002), 185–203. https://doi.org/10.5465/amr.2002.6587995.