The impact of corporate digital transformation on stock market activity: evidence from the Chinese listed manufacturing companies

Purpose This research aims to investigate the impact of corporate digital transformation (CDT) on stock market activity. Design/methodology/approach A data set of Chinese listed manufacturing enterprises from 2012–2021 is used as a research sample. Findings This research finds that CDT can promote stock market activity. This study validates two potential mechanisms: increasing financial performance and mitigating information asymmetry. This study further suggests that internal control and analyst coverage can strengthen the impact of CDT on stock market activity. Research limitations/implications The research exhibits certain limitations that should be considered in future research. Because the findings are based on the Chinese context, the applicability and generalizability of the findings to other environments may be limited. This research enriches the literature on the determinants of stock market activity from a technological perspective and incrementally contributes to understanding the impact of CDT on stock markets. After analyzing two opposing perspectives on the economic consequences of CDT, the favorable effect of CDT on stock market activity is proven based on the resource-based view and agency theory. This research extends the literature on the relationship between CDT and investor behavior, demonstrating that investors perceive CDT as beneficial. The results provide evidence that CDT can increase financial performance and improve the information environment, leading to increased investor attention and enhanced trading activity. Practical implications This research has incremental practical implications for enterprises and regulatory authorities to comprehend the economic consequences of CDT in developing countries. First, enterprises should increase their digital investments to improve their performance and decrease information asymmetry. Furthermore, enterprise managers should strengthen information systems to adapt to the process of CDT and train employees on digital skills. Second, regulatory authorities should provide comprehensive digital policies and programs supported by tax incentives, subsidies and digital infrastructure projects (Wang et al., 2023). Originality/value This research strengthens the debate on the market impact of CDT. Unlike prior literature, this study explores the influence of CDT on stock market activity for the first time, enriching the literature on CDT and stock market activity. Furthermore, the outcomes guide regulatory authorities to actively support CDT and expedite the digital upgrading of manufacturing industries to promote stock market activity.

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Publication Details

Journal
Journal of financial reporting & accounting
Published
2024-11-04
DOI
https://doi.org/10.1108/jfra-03-2024-0147
Citations
1
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.49
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article

The impact of corporate digital transformation on stock market activity: evidence from the Chinese listed manufacturing companies

Mohamed Gamal Elafify, Qinggang Wang
1 citations
Journal of financial reporting & accounting
Impact of AI and Big Data on Business and Society
0.49
article

The impact of corporate digital transformation on stock market activity: evidence from the Chinese listed manufacturing companies

Mohamed Gamal Elafify, Qinggang Wang
article en
1 citations

Abstract

Purpose This research aims to investigate the impact of corporate digital transformation (CDT) on stock market activity. Design/methodology/approach A data set of Chinese listed manufacturing enterprises from 2012–2021 is used as a research sample. Findings This research finds that CDT can promote stock market activity. This study validates two potential mechanisms: increasing financial performance and mitigating information asymmetry. This study further suggests that internal control and analyst coverage can strengthen the impact of CDT on stock market activity. Research limitations/implications The research exhibits certain limitations that should be considered in future research. Because the findings are based on the Chinese context, the applicability and generalizability of the findings to other environments may be limited. This research enriches the literature on the determinants of stock market activity from a technological perspective and incrementally contributes to understanding the impact of CDT on stock markets. After analyzing two opposing perspectives on the economic consequences of CDT, the favorable effect of CDT on stock market activity is proven based on the resource-based view and agency theory. This research extends the literature on the relationship between CDT and investor behavior, demonstrating that investors perceive CDT as beneficial. The results provide evidence that CDT can increase financial performance and improve the information environment, leading to increased investor attention and enhanced trading activity. Practical implications This research has incremental practical implications for enterprises and regulatory authorities to comprehend the economic consequences of CDT in developing countries. First, enterprises should increase their digital investments to improve their performance and decrease information asymmetry. Furthermore, enterprise managers should strengthen information systems to adapt to the process of CDT and train employees on digital skills. Second, regulatory authorities should provide comprehensive digital policies and programs supported by tax incentives, subsidies and digital infrastructure projects (Wang et al., 2023). Originality/value This research strengthens the debate on the market impact of CDT. Unlike prior literature, this study explores the influence of CDT on stock market activity for the first time, enriching the literature on CDT and stock market activity. Furthermore, the outcomes guide regulatory authorities to actively support CDT and expedite the digital upgrading of manufacturing industries to promote stock market activity.

Journal of financial reporting & accounting
Damietta University (EG), Zhongnan University of Economics and Law (CN)
Openalex Percentile: Top 29%
Impact of AI and Big Data on Business and Society
0.49
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