IDEAS home Printed from https://ideas.repec.org/a/igg/jeei00/v8y2018i2p14-24.html
   My bibliography  Save this article

Artificial Intelligence: Redefining Marketing Management and the Customer Experience

Author

Listed:
  • Christina McDowell Marinchak

    (University of Alaska Anchorage, Anchorage, USA)

  • Edward Forrest

    (University of Alaska Anchorage, Anchorage, USA)

  • Bogdan Hoanca

    (University of Alaska Anchorage, Anchorage, USA)

Abstract

As marketers and consumers simultaneously adopt artificial intelligence (AI) services and applications, the dynamic of the process of exchange between the buyer and seller in the marketplace is being fundamentally altered. This article reviews the emerging patterns of adoption and rates of diffusion of AI applications by both marketers and consumers. On the marketers' side the authors will address the single most defining phenomenon that is affecting the marketer's role and function in the marketing process: the exponential increase in the number, variety and capability of marketing applications, platforms and services that perform, control, influence and/or integrate virtually every marketing task and decision.

Suggested Citation

  • Christina McDowell Marinchak & Edward Forrest & Bogdan Hoanca, 2018. "Artificial Intelligence: Redefining Marketing Management and the Customer Experience," International Journal of E-Entrepreneurship and Innovation (IJEEI), IGI Global, vol. 8(2), pages 14-24, July.
    • Handle: RePEc:igg:jeei00:v:8:y:2018:i:2:p:14-24
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEEI.2018070102
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Rese, Alexandra & Ganster, Lena & Baier, Daniel, 2020. "Chatbots in retailers’ customer communication: How to measure their acceptance?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    2. Ioannis ANTONIADIS & Stamatis KONTSAS & Konstantinos SPINTHIROPOULOS, 2019. "Blockchain and Brand Loyalty Programs: A Short Review of Applications and Challenges," International Conference on Economic Sciences and Business Administration, Spiru Haret University, vol. 5(1), pages 8-16, November.
    3. Baabdullah, Abdullah M. & Alalwan, Ali Abdallah & Algharabat, Raed S. & Metri, Bhimaraya & Rana, Nripendra P., 2022. "Virtual agents and flow experience: An empirical examination of AI-powered chatbots," Technological Forecasting and Social Change, Elsevier, vol. 181(C).

    More about this item

    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:igg:jeei00:v:8:y:2018:i:2:p:14-24. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.