Skip to main content

Authentic or Counterfeit Service? A Framework on the Complexity of AI Enabled Service Encounters

Orsingher, Chiara, Robinson, Stacey, De Keyser, Arne, Alkier, Linda, Papamichail, Nadia, Shams, Poja, Temerak, M.S. (2019) Authentic or Counterfeit Service? A Framework on the Complexity of AI Enabled Service Encounters. In: QUIS 16 Symposium. .

PDF - Author's Accepted Manuscript
Download (114kB) Preview
[img]
Preview
MS Office Open XML (OOXML) - Author's Accepted Manuscript
Restricted to Repository staff only
Contact us about this Publication Download (19kB)
[img]
Official URL
https://www.servsig.org/wordpress/2018/09/quis16-i...

Abstract

Advancements in technology continually transform service encounters. As companies move from traditional interactive voice response (IVR) systems to artificial intelligence (AI) powered chatbots and virtual assistants, service encounters are reshaped, as the technology powers multiple customer service channels, and employees, or customers, are replaced.

The increasing infusion of AI in service encounters suggests it must be beneficial for customers and employees. However, a closer look reveals a more complicated picture in which the benefits and the drawbacks of AI coexist. Our research focuses on this complexity. We propose a framework that examines the consequences on customers, on employees, and on the service company of infusing the service encounter with AI agents. We examine encounters in which the customer or the employee are aware vs. unaware that they are interacting with an A.I. employee or customer.

The complexity of AI enabled service encounters is bound to increase as AI technologies continue to evolve, and become progressively more humanlike. Customer experiences in which customers cannot tell if they are communicating with a human or a computer are increasing. According to 2016 HubSpot Global AI Survey 63% of customers use AI without being aware of doing it. Efforts to design AI in the form of disembodied agents that are difficult or impossible to delineate from human, and potential lack of awareness regarding the presence of AI in dyadic service exchanges, may be problematic. We advance that humanlike AI creates a counterfeit service encounter, if the consumer or employee, is unaware they are interacting with a non-human partner. Counterfeit encounters might increase and negatively affects employees and customer experience, as well as the level of trust towards the service company.

Item Type: Conference or workshop item (Proceeding)
Divisions: Faculties > Social Sciences > Kent Business School > Marketing
Depositing User: Mohamed Hassan
Date Deposited: 31 Oct 2019 11:19 UTC
Last Modified: 04 Nov 2019 16:18 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/78109 (The current URI for this page, for reference purposes)
Temerak, M.S.: https://orcid.org/0000-0002-9128-6715
  • Depositors only (login required):

Downloads

Downloads per month over past year