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Corporate digital transformation and cash flow volatility: An empirical analysis from a supply chain perspective

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  • Lan, Mudan
  • Huang, Yuhong

Abstract

Focusing on Chinese listed firms, this study explores how customer firms’ digital transformation influences suppliers’ cash flow volatility from a supply chain perspective. The results show that customer digitalization significantly increases supplier cash flow volatility: a one-standard-deviation increase in customer digital transformation leads to a 0.291-standard–deviation increase in volatility. Asymmetry tests show that the effect is significant only when the customer firm is larger than the supplier or when the supplier relationship is unstable. We identify two plausible mechanisms underlying this effect: digital spillover and supply‒demand mismatch. This study contributes to the literature by deepening the understanding of the economic effects of digital transformation within supply chains.

Suggested Citation

  • Lan, Mudan & Huang, Yuhong, 2025. "Corporate digital transformation and cash flow volatility: An empirical analysis from a supply chain perspective," Finance Research Letters, Elsevier, vol. 85(PB).
  • Handle: RePEc:eee:finlet:v:85:y:2025:i:pb:s1544612325012437
    DOI: 10.1016/j.frl.2025.107985
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    References listed on IDEAS

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    1. Wang, Shaofeng & Zhang, Hao, 2024. "Green entrepreneurship success in the age of generative artificial intelligence: The interplay of technology adoption, knowledge management, and government support," Technology in Society, Elsevier, vol. 79(C).
    2. Ersahin, Nuri & Giannetti, Mariassunta & Huang, Ruidi, 2024. "Trade credit and the stability of supply chains," Journal of Financial Economics, Elsevier, vol. 155(C).
    3. Thomas W. Bates & Kathleen M. Kahle & René M. Stulz, 2009. "Why Do U.S. Firms Hold So Much More Cash than They Used To?," Journal of Finance, American Finance Association, vol. 64(5), pages 1985-2021, October.
    4. Dazhong Wu & Joe Teng & Sergey Ivanov & Julius Anyu, 2021. "Empirical Assessment of Bullwhip Effect in Supply Networks," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global Scientific Publishing, vol. 14(2), pages 69-87, April.
    5. Liu, Shasha & Zhao, Huixian & Kong, Gaowen, 2023. "Enterprise digital transformation, breadth of ownership and stock price volatility," International Review of Financial Analysis, Elsevier, vol. 89(C).
    6. Huang, Yuhong, 2024. "Digital transformation of enterprises: Job creation or job destruction?," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    7. Brandenburg, Marcus, 2016. "Supply chain efficiency, value creation and the economic crisis – An empirical assessment of the European automotive industry 2002–2010," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 321-335.
    8. Shaofeng Wang & Hao Zhang, 2025. "Promoting sustainable development goals through generative artificial intelligence in the digital supply chain: Insights from Chinese tourism SMEs," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(1), pages 1231-1248, February.
    9. Robert L. Bray & Haim Mendelson, 2012. "Information Transmission and the Bullwhip Effect: An Empirical Investigation," Management Science, INFORMS, vol. 58(5), pages 860-875, May.
    10. Zhao, Shuang & Zhang, Liqun & Peng, Lin & Zhou, Haiyan & Hu, Feng, 2024. "Enterprise pollution reduction through digital transformation? Evidence from Chinese manufacturing enterprises," Technology in Society, Elsevier, vol. 77(C).
    11. Yongqiang Chu & Xuan Tian & Wenyu Wang, 2019. "Corporate Innovation Along the Supply Chain," Management Science, INFORMS, vol. 67(6), pages 2445-2466, June.
    12. Geng, Yong & Xiang, Xiaojian & Zhang, Guosheng & Li, Xue, 2024. "Digital transformation along the supply chain: Spillover effects from vertical partnerships," Journal of Business Research, Elsevier, vol. 183(C).
    13. Mohammad H. Eslami & Hamid Jafari & Leona Achtenhagen & John Carlbäck & Alex Wong, 2024. "Financial performance and supply chain dynamic capabilities: the Moderating Role of Industry 4.0 technologies," International Journal of Production Research, Taylor & Francis Journals, vol. 62(22), pages 8092-8109, November.
    14. Nikolay Osadchiy & William Schmidt & Jing Wu, 2021. "The Bullwhip Effect in Supply Networks," Management Science, INFORMS, vol. 67(10), pages 6153-6173, October.
    15. Dai, Rui & Liang, Hao & Ng, Lilian, 2021. "Socially responsible corporate customers," Journal of Financial Economics, Elsevier, vol. 142(2), pages 598-626.
    16. Ran Duchin & Thomas Gilbert & Jarrad Harford & Christopher Hrdlicka, 2017. "Precautionary Savings with Risky Assets: When Cash Is Not Cash," Journal of Finance, American Finance Association, vol. 72(2), pages 793-852, April.
    17. Yang, Miying & Fu, Mingtao & Zhang, Zihan, 2021. "The adoption of digital technologies in supply chains: Drivers, process and impact," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    18. Zhang, Ziqi & Su, Zhi & Tong, Fang, 2023. "Does digital transformation restrain corporate financialization? Evidence from China," Finance Research Letters, Elsevier, vol. 56(C).
    19. Di Giuli, Alberta & Laux, Paul A., 2022. "The effect of media-linked directors on financing and external governance," Journal of Financial Economics, Elsevier, vol. 145(2), pages 103-131.
    20. Ahmed, Mohamed Shaker & Elnahass, Marwa, 2024. "Being famous matters: Evidence from cash flow volatility," International Review of Financial Analysis, Elsevier, vol. 93(C).
    21. Sun, Wenbin & Ding, Yuan, 2020. "Corporate social responsibility and cash flow volatility: The curvilinear moderation of marketing capability," Journal of Business Research, Elsevier, vol. 116(C), pages 48-59.
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