IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-14961-0_11.html
   My bibliography  Save this book chapter

The Physical Presence and Relationship Distance for Efficient Consumer–AI-Business Interactions and Marketing

In: The Palgrave Handbook of Interactive Marketing

Author

Listed:
  • Corina Pelau

    (Bucharest University of Economic Studies)

  • Dan-Cristian Dabija

    (Babes-Bolyai University Cluj-Napoca)

  • Daniela Serban

    (Bucharest University of Economic Studies)

Abstract

The development of artificial intelligence has triggered important changes in society, in the business world and in consumers’ everyday lives. Many of the daily human activities are nowadays performed with the help of AI, having major implications on the interaction between consumers and companies. Therefore, the marketing strategies of companies have to be adjusted in order to include AI. This chapter presents a conceptual approach on the types of AI and their impact on the marketing strategies of companies. The authors focus mainly on two differentiation criteria of AI, namely the physical or virtual presence of AI and the social relations between consumers and AI. On the one hand, there are personal AI assistants, which are permanently involved in consumers’ daily life and external voice assistants or service robots, which interact with consumers during the acquisition of products or services. As for the two categories of AI, the exchange of data and attachment are different, so the authors focus on the main challenges for each category by analyzing the implications they have on the marketing strategies of companies. On the other hand, there are also AI devices with a physical presence or AI devices with virtual presence which interact with the consumers by voice. The physical presence and the friendliness of the voice may impact the interaction in different ways.

Suggested Citation

  • Corina Pelau & Dan-Cristian Dabija & Daniela Serban, 2023. "The Physical Presence and Relationship Distance for Efficient Consumer–AI-Business Interactions and Marketing," Springer Books, in: Cheng Lu Wang (ed.), The Palgrave Handbook of Interactive Marketing, chapter 0, pages 239-254, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-14961-0_11
    DOI: 10.1007/978-3-031-14961-0_11
    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:sprchp:978-3-031-14961-0_11. 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.