IDEAS home Printed from https://ideas.repec.org/a/aza/ama000/y2022v8i2p192-205.html
   My bibliography  Save this article

The impact of digital marketing on the performance of firms in Tunisia

Author

Listed:
  • Fridhi, Bechir

    (Assistant Professor, College of Business Administration, Majmaah University, Saudi Arabia)

Abstract

The objective of this study is to examine digital marketing in Tunisia and its benefits as a business model used by Tunisian businesses and to determine the influence of digital transformation on the performance of firms in Tunisia. In addition, the objective of our empirical survey is to define the capacities and skills essential to the success of a digital transformation. The study focused on: (1) establishing the extent to which digital marketing has been adopted by firms in Tunisia and (2) determining the influence of digital transformation on the open innovation performance of Tunisian firms. The result of the integration of technological power into the management of enterprises gives rise to a digitalisation that disrupts marketing strategies, significantly contributing to the creation of new business models. The results revealed that the use of digital marketing is significantly linked to three open innovation performance metrics: increased revenue, acquisition of new customers and retention of existing customers. This open innovation performance also has a positive and significant relationship with the use of digital channels by customers, showing that customers using digital channels in their purchasing process will tend to buy, consume and be more loyal than customers using the classic channels.

Suggested Citation

  • Fridhi, Bechir, 2022. "The impact of digital marketing on the performance of firms in Tunisia," Applied Marketing Analytics: The Peer-Reviewed Journal, Henry Stewart Publications, vol. 8(2), pages 192-205, October.
  • Handle: RePEc:aza:ama000:y:2022:v:8:i:2:p:192-205
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/7323/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/7323/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

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

    More about this item

    Keywords

    digital marketing; digital transformation; partial least square (PLS) approach; open innovation performance;
    All these keywords.

    JEL classification:

    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising

    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:aza:ama000:y:2022:v:8:i:2:p:192-205. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.