IDEAS home Printed from https://ideas.repec.org/a/aza/jcms00/y2022v7i1p63-74.html
   My bibliography  Save this article

Artificial intelligence in customer service: An empirical study of the banking sector

Author

Listed:
  • Eneizan, Bilal

    (Associate Professor of Marketing, Jadara University, Jordan)

Abstract

Artificial intelligence (AI) has become very important in the business world. The reasons for this include increased computing power, low cost, advanced algorithms, and the ability to leverage Big Data. AI is increasingly being deployed to deliver real-time customer service through live-chat messaging channels. These systems use data from different sources to provide customers with options, recommendations and resolutions. With a focus on the banking sector, this study examines the impact of usefulness, ease of use, problem-solving ability and trust on consumers’ intention to use and preference for AI in the customer service context. The findings indicate that the various variables examined all have a positive effect on both intention to use and preference for AI. These findings are discussed from both an organisational and customer perspective. The finding that customer satisfaction can be significantly improved via the use of AI systems has important implications for the banking sector.

Suggested Citation

  • Eneizan, Bilal, 2022. "Artificial intelligence in customer service: An empirical study of the banking sector," Journal of Cultural Marketing Strategy, Henry Stewart Publications, vol. 7(1), pages 63-74, March.
  • Handle: RePEc:aza:jcms00:y:2022:v:7:i:1:p:63-74
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/7468/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/7468/
    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

    AI; customer service; problem-solving ability; trust; ease of use; usefulness; behavioural intention;
    All these keywords.

    JEL classification:

    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising
    • J7 - Labor and Demographic Economics - - Labor Discrimination

    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:jcms00:y:2022:v:7:i:1:p:63-74. 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.