4,887
Views
48
CrossRef citations to date
0
Altmetric
Articles

Artificial intelligence acceptance in services: connecting with Generation Z

&
Pages 926-946 | Received 03 Feb 2021, Accepted 25 Aug 2021, Published online: 05 Sep 2021
 

ABSTRACT

This paper aims to examine willingness to accept artificial intelligence (AI) devices, focusing on the so-called Gen Z population. This study presumes that specific knowledge of a business process is important for AI adoption in hospitality services. A research model, grounded in the artificially intelligent device use acceptance (AIDUA) framework, used data collected from 786 respondents. The model was tested using PLS-SEM methodology. The modified framework was supported by Gen Z, with hedonic motivation having the greatest effect on Gen Z members’ emotions and their willingness to use AI devices in hospitality. The frequency of smartphone usage played a significant moderating role between the perceived effort of AI usage and emotions. This study helps AI designers and business managers when designing and implementing AI devices in a hospitality environment. Based on this study’s findings, policymakers and educational institutions can try to advance their curricula, emphasizing the importance of new technologies.

Aknowledgements

The authors are grateful for the comments made by two anonymous reviewers. The authors are also grateful for the received feedback from the participants of the AIRSI2020 conference.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 274.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.