IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v83y2024icp178-190.html
   My bibliography  Save this article

How does open public data impact enterprise digital transformation?

Author

Listed:
  • Chen, Kaixuan
  • Zhang, Shushan

Abstract

Digital transformation has become a core competency for enterprises. Based on the data of Chinese A-share companies from 2010 to 2021, this study examines the impact of open public data on enterprises’ digital transformation using the DID model. The findings indicate that public data openness has a significant influence on driving enterprises’ digital transformation and extensive robustness checks confirm the reliability of the results. Mechanism tests reveal that public data openness can drive enterprise digital transformation by reducing operating costs, strengthening managements’ strategic perceptions, and intensifying competition in local markets. The results of the heterogeneity analysis indicate that the facilitating effect of public data openness on enterprises’ digital transformation is more pronounced in regions that are not data trading centers, firms with a low degree of intelligence, and labor-intensive industries. The findings of our study offer new insights into the practical implications of public data openness, while also providing valuable guidance for other developing countries seeking to drive enterprises’ digital transformation.

Suggested Citation

  • Chen, Kaixuan & Zhang, Shushan, 2024. "How does open public data impact enterprise digital transformation?," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 178-190.
  • Handle: RePEc:eee:ecanpo:v:83:y:2024:i:c:p:178-190
    DOI: 10.1016/j.eap.2024.06.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592624001462
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2024.06.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wu, Desheng & Xie, Yu, 2024. "Unveiling the impact of public data access on collaborative reduction of pollutants and carbon emissions: Evidence from open government data policy," Energy Economics, Elsevier, vol. 138(C).

    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:eee:ecanpo:v:83:y:2024:i:c:p:178-190. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/economic-analysis-and-policy .

    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.