IDEAS home Printed from https://ideas.repec.org/a/taf/servic/v41y2021i13-14p853-859.html
   My bibliography  Save this article

Artificial intelligence in services: current trends, benefits and challenges

Author

Listed:
  • Carlos Flavián
  • Luis V. Casaló

Abstract

The automation of services taking advantage of the significant opportunities offered by artificial intelligence and other Industry 4.0 technologies is receiving increasing attention both from academics and practitioners. Interest in the subject has been boosted significantly by the healthcare crisis generated by COVID-19 and the need to maintain social distancing while continuing to provide efficient services. The purpose of this brief paper is threefold: (i) to introduce and summarize the current state of automated forms of interaction in services; (ii) to provide an overview of the six papers published in this special issue; and (iii) to describe the possibilities for future research that emerged at the AIRSI2019 (Artificial Intelligence and Robotics in Service Interactions) Conference. The AIRSI2019 conference was the precursor to this special issue and provided an excellent opportunity to explore with leading international researchers the extraordinary development possibilities presented in this research context.

Suggested Citation

  • Carlos Flavián & Luis V. Casaló, 2021. "Artificial intelligence in services: current trends, benefits and challenges," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 853-859, October.
    • Handle: RePEc:taf:servic:v:41:y:2021:i:13-14:p:853-859
    DOI: 10.1080/02642069.2021.1989177
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02642069.2021.1989177
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02642069.2021.1989177?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.

    Citations

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


    Cited by:

    1. Sebastian Molinillo & Francisco Rejón-Guardia & Rafael Anaya-Sánchez, 2023. "Exploring the antecedents of customers’ willingness to use service robots in restaurants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 167-193, March.
    2. Darshan Pandya & Gopal Kumar, 2023. "Applying Industry 4.0 technologies for the sustainability of small service enterprises," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 37-59, March.
    3. Pedro Cuesta-Valiño & Sergey Kazakov & Pablo Gutiérrez-Rodríguez & Orlando Lima Rua, 2023. "The effects of the aesthetics and composition of hotels’ digital photo images on online booking decisions," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    4. K Akdim & Luis V. Casaló, 2023. "Perceived value of AI-based recommendations service: the case of voice assistants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 81-112, March.
    5. Sandra Maria Correia Loureiro & Ricardo Godinho Bilro & Diogo Neto, 2023. "Working with AI: can stress bring happiness?," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 233-255, March.
    6. Mark Anthony Camilleri & Ciro Troise, 2023. "Live support by chatbots with artificial intelligence: A future research agenda," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 61-80, March.
    7. Kautish, Pradeep & Purohit, Sonal & Filieri, Raffaele & Dwivedi, Yogesh K., 2023. "Examining the role of consumer motivations to use voice assistants for fashion shopping: The mediating role of awe experience and eWOM," Technological Forecasting and Social Change, Elsevier, vol. 190(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:taf:servic:v:41:y:2021:i:13-14:p:853-859. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/FSIJ20 .

    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.