IDEAS home Printed from https://ideas.repec.org/a/spt/admaec/v14y2024i3f14_3_9.html

The Impact of Digital Transformation on the Performance of Listed Automobile Manufacturing Enterprises in China

Author

Listed:
  • Shuangjie Li
  • Ruoqi Li
  • Fang Liu

Abstract

The paper investigates the impact of digital transformation on the performance of automobile manufacturing enterprises in China based on the sample data of 66 listed enterprises from 2012 to 2022, finding that digital transformation can improve the performance of automobile manufacturing enterprises and the improvement is long-term. Mechanism analysis shows that improving the human capital level of enterprises is an important path for digital transformation to promote enterprise performance. Moderating effect analysis shows that enterprise capacity has a significant moderating effect. Specifically, weaker business capacity undermines the positive effect of digital transformation on the performance of enterprises, and stronger development capacity plays a positive moderating role in the impact of digital transformation on the performance of enterprises. Heterogeneity analysis reveals that digital transformation has a more significant positive impact on the performance of non-state, small and medium-sized, and eastern automobile manufacturing enterprises. Based on the research conclusions, targeted policy recommendations are put forward to provide a reference for promoting digital transformation and the performance of automobile manufacturing enterprises. JEL classification numbers: C12, M21.

Suggested Citation

  • Shuangjie Li & Ruoqi Li & Fang Liu, 2024. "The Impact of Digital Transformation on the Performance of Listed Automobile Manufacturing Enterprises in China," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 14(3), pages 1-9.
    • Handle: RePEc:spt:admaec:v:14:y:2024:i:3:f:14_3_9
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/AMAE%2fVol%2014_3_9.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ghi Tran Nha & Thu Nguyen Quang & Huan Ngo Quang & Trung Nguyen Tan, 2022. "Human capital, digital transformation, and firm performance of startups in Vietnam," Management, Sciendo, vol. 26(1), pages 1-18, January.
    2. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    3. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    4. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zheng, Liyuan & Zhang, Sheng & Gao, Di & Liu, Jingwei, 2025. "How does digital investment drive real-sector engagement? Theoretical and empirical evidence," International Review of Financial Analysis, Elsevier, vol. 108(PB).
    2. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    3. Irene Bertschek & Joern Block & Alexander S. Kritikos & Caroline Stiel, 2024. "German financial state aid during Covid-19 pandemic: Higher impact among digitalized self-employed," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 36(1-2), pages 76-97, January.
    4. Hossain, Md Afnan & Akter, Shahriar & Yanamandram, Venkata, 2021. "Why doesn't our value creation payoff: Unpacking customer analytics-driven value creation capability to sustain competitive advantage," Journal of Business Research, Elsevier, vol. 131(C), pages 287-296.
    5. Wang, Lu & Chen, Lifeng & Zhong, Shengyang & Zhou, Qunmi, 2025. "How executive green perception affect high-quality growth: Evidence from Chinese listed companies," International Review of Financial Analysis, Elsevier, vol. 108(PB).
    6. Li, Pengcheng & Guo, Xiaochuan & Wang, Fengzheng & Zhang, Qifeng, 2025. "Digital transformation and corporate innovation boundaries: Role of supply chain concentration and transparency," International Review of Financial Analysis, Elsevier, vol. 98(C).
    7. Torrent-Sellens, Joan, 2024. "Digital transition, data-and-tasks crowd-based economy, and the shared social progress: Unveiling a new political economy from a European perspective," Technology in Society, Elsevier, vol. 79(C).
    8. Xiaowen He & Weinien Chen, 2024. "Digital Transformation and Environmental, Social, and Governance Performance from a Human Capital Perspective," Sustainability, MDPI, vol. 16(11), pages 1-21, June.
    9. Huynh, Minh-Tay & Veglio, Valerio & Gunkel, Marjaana, 2025. "Conceptualizing the data-driven mindset: An application of the mindset theory of action phases," Technovation, Elsevier, vol. 146(C).
    10. Hong Deng & Yongjia Lin & Yizhi Wang, 2025. "Site Visits and Corporate Digitization," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 65(5), pages 4487-4506, December.
    11. Huang, Heshu & Wang, Caiting & Wang, Liukai & Yarovaya, Larisa, 2023. "Corporate digital transformation and idiosyncratic risk: Based on corporate governance perspective," Emerging Markets Review, Elsevier, vol. 56(C).
    12. Jiang, Wei & Wu, Jiahao & Yang, Xiaozhong, 2023. "Does digitization drive corporate social responsibility?," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 14-26.
    13. Deheng Xiao & Can Zhang & Yongjian Huang, 2024. "Digital economy policy and enterprise digital transformation: Evidence from innovation and structural effect," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(4), pages 2348-2359, June.
    14. Archana Sarbhai & Vivek Khare, 2024. "Leveraging Big Data for Enhanced Strategic Planning and Improved Firm Performance: A Study of Indian Organizations," Metamorphosis: A Journal of Management Research, , vol. 23(1), pages 77-89, June.
    15. Rajesh Chidananda Reddy & Biplab Bhattacharjee & Debasisha Mishra & Anandadeep Mandal, 2022. "A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy," Information Systems and e-Business Management, Springer, vol. 20(1), pages 223-255, March.
    16. Jiang, Qiwen & Kuang, Xuemei & Mei, Shue & Zhao, Ziyuan, 2026. "Manufacturing enterprise digital transformation and financial flexibility improvement," Finance Research Letters, Elsevier, vol. 91(C).
    17. Yin, Qiaoyi & Wang, Yunfei & Song, Dian & Lai, Fujun & Collins, Brian & Guo, Hangfei, 2024. "The impact of digitalization on operational risk: An organizational information processing perspective," International Journal of Production Economics, Elsevier, vol. 276(C).
    18. Colombari, Ruggero & Geuna, Aldo & Helper, Susan & Martins, Raphael & Paolucci, Emilio & Ricci, Riccardo & Seamans, Robert, 2023. "The interplay between data-driven decision-making and digitalization: A firm-level survey of the Italian and U.S. automotive industries," International Journal of Production Economics, Elsevier, vol. 255(C).
    19. Mohammed T. Abusharbeh, 2024. "Technology-Profitability Paradox in Banking Sector: Evidence from Palestine," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14855-14873, September.
    20. Fındık, Derya & Tansel, Aysit, 2013. "Resources on the stage: a firm level analysis of the ict adoption in Turkey," MPRA Paper 65956, University Library of Munich, Germany, revised 05 Aug 2014.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spt:admaec:v:14:y:2024:i:3:f:14_3_9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.