IDEAS home Printed from https://ideas.repec.org/a/wsi/ijimxx/v28y2024i01n02ns1363919624500075.html
   My bibliography  Save this article

Digital Capabilities, Firm Performance, And Innovation Capabilities: A Combined Approach Of Pls-Sem And Ann

Author

Listed:
  • DINH VAN HOANG

    (Vietnam-Japan Institute for Human Resources Development, Foreign Trade University, Hanoi, Vietnam)

  • NGUYEN THI HIEN

    (Vietnam-Japan Institute for Human Resources Development, Foreign Trade University, Hanoi, Vietnam)

Abstract

This study, rooted in the dynamic capabilities view, examines the influence of digital capabilities on the performance and innovation capabilities of manufacturing small and medium-sized enterprises (SMEs) in an emerging market. Surveying 297 manufacturing SMEs in Vietnam, the research employed partial least squares-structural equation modelling (PLS-SEM) and artificial neural network (ANN) to test hypotheses. The results show a positive effect of digital capabilities on process and product innovation capabilities. Despite an insignificant direct impact of digital capabilities on firm performance, technological uncertainty moderates this relationship positively. Notably, process innovation capability has no direct impact on firm performance, while product innovation capability’s impact on it is negatively significant. The study explored the roles of digital culture and digital leadership, offering novel contributions to understanding a firm’s digital and innovation capabilities. It provides practical implications for managers aiming to enhance firm performance by leveraging digital capabilities for innovation.

Suggested Citation

  • Dinh Van Hoang & Nguyen Thi Hien, 2024. "Digital Capabilities, Firm Performance, And Innovation Capabilities: A Combined Approach Of Pls-Sem And Ann," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 28(01n02), pages 1-48, February.
  • Handle: RePEc:wsi:ijimxx:v:28:y:2024:i:01n02:n:s1363919624500075
    DOI: 10.1142/S1363919624500075
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S1363919624500075
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S1363919624500075?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.

    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:wsi:ijimxx:v:28:y:2024:i:01n02:n:s1363919624500075. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijim/ijim.shtml .

    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.