IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-12453-3_143.html
   My bibliography  Save this book chapter

Artificial Intelligence (AI) Impact on Digital Marketing Research

In: Strategic Innovative Marketing and Tourism

Author

Listed:
  • Dimitris C. Gkikas

    (University of Patras)

  • Prokopis K. Theodoridis

    (University of Patras)

Abstract

This paper maps and describes the current and potential relationship between two different scientific branches of marketing science and computer science. It examines the interaction of digital marketing and artificial intelligence (AI) in academia, proposing, at the same time a machine learning model that could fit in several aspects of digital marketing scientific area. There are numerous scientific publications regarding artificial intelligence (AI) across the disciplines. However, referring to digital marketing aspects, this number remains small. Scientific research on artificial intelligence (AI) could benefit marketing science in numerous ways. Nowadays, only a small amount of scientific research referring to digital marketing and artificial intelligence (AI) is related to specific digital marketing methods. Most of the scientific research examines generic aspects such as e-business, consumer behavior, e-commerce strategies, social media advertisement, search engines and consumer predictive modeling avoid being more related to specific marketing issues in which business world is more aware of, like consumer behavior on social media, targeted advertisements, social media marketing, conversion optimization, predictive models in online purchases, chatbots etc. Despite the vast research area and a certain number of publications, it seems that there is a lack of scientific publications regarding specifically digital marketing and artificial intelligence (AI). Never the less, there are some very extensive research attempts on specific digital marketing matters and artificial intelligence (AI) that are promising. This paper through the mapping of the current state of artificial intelligence (AI) applications on digital marketing scientific area, highlights the corner stone publications, comes up with areas of absence or lack of its presence, mentioning at the same possible reasons why that occurs and provides a machine learning model that could fit in several digital marketing occasions.

Suggested Citation

  • Dimitris C. Gkikas & Prokopis K. Theodoridis, 2019. "Artificial Intelligence (AI) Impact on Digital Marketing Research," Springer Proceedings in Business and Economics, in: Androniki Kavoura & Efstathios Kefallonitis & Apostolos Giovanis (ed.), Strategic Innovative Marketing and Tourism, pages 1251-1259, Springer.
  • Handle: RePEc:spr:prbchp:978-3-030-12453-3_143
    DOI: 10.1007/978-3-030-12453-3_143
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-030-12453-3_143. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.