
The Impact of an Organization's Digital Transformation on the Long-Term M&A Performance
- 1 Beijing Jiaotong University, Beijing, 100044, China
* Author to whom correspondence should be addressed.
Abstract
Based on the data of China's A-share listed companies from 2012 to 2022, this paper uses a benchmark regression model to explore the impact and mechanism of corporate digitization on long-term M&A performance. It is found that the higher the degree of corporate digitization, the worse the long-term M&A performance. This finding reverses the traditional view that digitization can effectively improve the operational efficiency of enterprises and the quality of M&A decisions. This finding still holds after changing the enterprise digital transformation measure, replacing control variables, and lagging long-term M&A performance by one period. This paper provides new perspectives on the risk points that companies may overlook in pursuing digital transformation, aiming to help companies use information to make rational decisions and use digitalization to predict future developments accurately. This study emphasizes the need for managers to balance long-term and short-term interests and identify and prevent short-sightedness issues, providing insights for managers to balance immediate benefits and sustainable development in a complex and changing business environment, which is essential for enterprises to deploy strategic plans in the current fast-changing economic environment.
Keywords
Digital Transformation, Merger & Acquisition, Corporate Performance
[1]. Che, T., Cai, J., Yang, R., & Lai, F. (2023). Digital transformation drives product quality improvement: An organizational transparency perspective. Technological Forecasting and Social Change, 197, 122888.
[2]. Aben, T., Van Der Valk, W., Roehrich, J., & Selviaridis, K. (2021). Managing information asymmetry in public–private relationships undergoing a digital transformation: the role of contractual and relational governance. International Journal of Operations & Production Management, 41(7), 1145–1191.
[3]. Fang, Q., Nu-Tao, Y., & Xu, H. (2022). Governance effects of digital transformation: from the perspective of accounting quality. China Journal of Accounting Studies, 11(1), 77–107.
[4]. Colli, M., Stingl, V., & Wæhrens, B. V. (2021). Making or breaking the business case of digital transformation initiatives: the key role of learnings. Journal of Manufacturing Technology Management, 33(1), 41–60.
[5]. Liu, M., Li, H., Li, C., & Yan, Z. (2023). Digital transformation, financing constraints and enterprise performance. European Journal of Innovation Management.
[6]. Li, S., Gao, L., Han, C., Gupta, B. B., Alhalabi, W., & Almakdi, S. (2023). Exploring the effect of digital transformation on Firms’ innovation performance. Journal of Innovation & Knowledge, 8(1), 100317.
[7]. Na, C., Chen, X., Li, X., Li, Y., & Wang, X. (2022). Digital transformation of value chains and CSR performance. Sustainability, 14(16), 10245.
[8]. Kwiliński, A., Lyulyov, O., & Pimonenko, T. (2023). Unlocking Sustainable Value through Digital Transformation: An Examination of ESG Performance. Information, 14(8), 444.
[9]. Dai, D., Han, S., Zhao, M., & Xie, J. (2023). The impact Mechanism of Digital Transformation on the Risk-Taking Level of Chinese listed Companies. Sustainability, 15(3), 1938.
[10]. Attah‐Boakye, R., Gűney, Y., Hernández-Perdomo, E., & Mun, J. (2020). Why do some merger and acquisitions deals fail? A global perspective. International Journal of Finance & Economics, 26(3), 4734–4776.
[11]. Liu, Y., & Wang, Y. (2013). Performance of Mergers and Acquisitions under Corporate Governance Perspective. Open Journal of Social Sciences, 01(07), 17–25.
[12]. Cai, Y., & Sevilir, M. (2012). Board connections and M&A transactions. Journal of Financial Economics, 103(2), 327–349.
[13]. Qian, H., Chen, X. & Li, Y. (2020). The impact of digital economy on Corporate Governance: From the perspective of Information asymmetry and managers’ Irrational Behavior. Reform,(04), 50-64.
[14]. Wu, F., Hu, H., Lin, H., & Ren, X. (2021). Corporate Digital Transformation and Capital Market Performance: Empirical Evidence from Equity Liquidity. Business Administration, 5(7), 130–144.
[15]. Yuan, C., Xiao, T., Geng, C., & Sheng, Y. (2021). Digital transformation and enterprise division of labor: Specialization or vertical integration. Chinese Industrial Economics, 9, 137-155.
Cite this article
Wang,X. (2024). The Impact of an Organization's Digital Transformation on the Long-Term M&A Performance. Advances in Economics, Management and Political Sciences,79,275-282.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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