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The impact of corporate digital transformation on the accuracy of Management's earnings forecasts

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  • Zeng, Xiao
  • Wang, Chenxi

Abstract

In recent years, the digital economy has experienced robust growth, as digital technology progressively infiltrates every aspect of sustainable economic and societal advancement. Consequently, digital transformation has emerged as an inevitable and essential trend for the continuous advancement of firms. To explore the impact of corporate digital transformation on the accuracy of management earnings forecasts, we conduct an empirical analysis using a sample comprising companies listed on the Shanghai and Shenzhen Stock Exchange from 2010 to 2023. Our findings demonstrate a significant positive impact of corporate digital transformation on the accuracy of management earnings forecasts. Mechanism analysis reveals that the process of digital transformation enhances the accuracy of management earnings forecasts by improving the quality of information disclosure. Moreover, heterogeneity analyses reveal that the positive impact of digital transformation on the accuracy of management earnings forecasts is more pronounced in firms with weaker internal control, robust corporate governance practices, higher agency costs, executives without technical backgrounds, moderate levels of competition, and those that are non-state-owned enterprises. These findings not only provide fresh evidence of the enduring effects of digital transformation but also yield insights into the symbiotic relationship between the capital market and the national economy. Additionally, they present a novel perspective on the regulation of predictive corporate information disclosure.

Suggested Citation

  • Zeng, Xiao & Wang, Chenxi, 2025. "The impact of corporate digital transformation on the accuracy of Management's earnings forecasts," International Review of Economics & Finance, Elsevier, vol. 102(C).
    • Handle: RePEc:eee:reveco:v:102:y:2025:i:c:s1059056025005118
    DOI: 10.1016/j.iref.2025.104348
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    1. Liu, Qin & Yuan, Fen & Wu, Fang & Yu, Siming, 2024. "Digital transformation and management earnings forecast," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    2. Segal, Gill & Shaliastovich, Ivan & Yaron, Amir, 2015. "Good and bad uncertainty: Macroeconomic and financial market implications," Journal of Financial Economics, Elsevier, vol. 117(2), pages 369-397.
    3. Paulo Guimarães & Pedro Portugal, 2010. "A simple feasible procedure to fit models with high-dimensional fixed effects," Stata Journal, StataCorp LLC, vol. 10(4), pages 628-649, December.
    4. Jiatong Yu & Jiajue Wang & Taesoo Moon, 2022. "Influence of Digital Transformation Capability on Operational Performance," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    5. Lei Guo & Luying Xu, 2021. "The Effects of Digital Transformation on Firm Performance: Evidence from China’s Manufacturing Sector," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    6. Bipin Ajinkya & Sanjeev Bhojraj & Partha Sengupta, 2005. "The Association between Outside Directors, Institutional Investors and the Properties of Management Earnings Forecasts," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 43(3), pages 343-376, June.
    7. Wanyi Chen & Liguang Zhang & Pinyan Jiang & Fanli Meng & Qianyi Sun, 2022. "Can digital transformation improve the information environment of the capital market? Evidence from the analysts' prediction behaviour," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2543-2578, June.
    8. Karthik Balakrishnan & Mary Brooke Billings & Bryan Kelly & Alexander Ljungqvist, 2014. "Shaping Liquidity: On the Causal Effects of Voluntary Disclosure," Journal of Finance, American Finance Association, vol. 69(5), pages 2237-2278, October.
    9. Yangjun Ren & Xin Zhang & Hui Chen, 2022. "The Impact of New Energy Enterprises’ Digital Transformation on Their Total Factor Productivity: Empirical Evidence from China," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    10. Lamia Chourou & Luo He & Ligang Zhong, 2020. "Does religiosity enhance the quality of management earnings forecasts?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(7-8), pages 910-948, July.
    11. Zhai, Huayun & Yang, Min & Chan, Kam C., 2022. "Does digital transformation enhance a firm's performance? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    12. Ion Ionascu & Mihaela Ionascu & Elena Nechita & Marian Sacarin & Mihaela Minu, 2022. "Digital Transformation, Financial Performance and Sustainability: Evidence for European Union Listed Companies," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(59), pages 1-94.
    13. Peter M. Clarkson, 2000. "Auditor Quality and the Accuracy of Management Earnings Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 17(4), pages 595-622, December.
    14. Kraft, Anastasia & Lee, Bong Soo & Lopatta, Kerstin, 2014. "Management earnings forecasts, insider trading, and information asymmetry," Journal of Corporate Finance, Elsevier, vol. 26(C), pages 96-123.
    15. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    16. Kathleen M. Eisenhardt & Jeffrey A. Martin, 2000. "Dynamic capabilities: what are they?," Strategic Management Journal, Wiley Blackwell, vol. 21(10‐11), pages 1105-1121, October.
    17. Yu Li & Panpan Feng & Tiange Qi & Jiale Yan & Yongjian Huang, 2024. "Enterprise digital transformation, managerial myopia and cost stickiness," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    18. Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
    19. Xiongyuan Wang & Luofan Bu & Xuan Peng, 2021. "Internet of things adoption, earnings management, and resource allocation efficiency," China Journal of Accounting Studies, Taylor & Francis Journals, vol. 9(3), pages 333-359, July.
    20. Cheng, Yiran & Zhou, Xiaorui & Li, Yongjian, 2023. "The effect of digital transformation on real economy enterprises’ total factor productivity," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 488-501.
    21. Alejandro Coronado-Medina & Jose Arias-Pérez & Geovanny Perdomo-Charry, 2020. "Fostering Product Innovation Through Digital Transformation and Absorptive Capacity," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1-23, October.
    22. Healy, Paul M. & Palepu, Krishna G., 2001. "Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 405-440, September.
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