The impact of artificial intelligence on event experiences: a scenario technique approach
Barbara Neuhofer (),
Bianca Magnus () and
Krzysztof Celuch
Additional contact information
Barbara Neuhofer: Salzburg University of Applied Sciences
Bianca Magnus: Salzburg University of Applied Sciences
Electronic Markets, 2021, vol. 31, issue 3, No 9, 617 pages
Abstract:
Abstract Digital technologies are transforming human relations, interactions and experiences in the business landscape. Whilst a great potential of artificial intelligence (AI) in the service industries is predicted, the concrete influence of AI on customer experiences remains little understood. Drawing upon the service-dominant (SD) logic as a theoretical lens and a scenario technique approach, this study explores the impact of artificial intelligence as an operant resource on event experiences. The findings offer a conceptualisation of three distinct future scenarios for the year 2026 that map out a spectrum of experiences from value co-creation to value co-destruction of events. The paper makes a theoretical contribution in that it bridges marketing, technology and experience literature, and zooms in on AI as a non-human actor of future experience life ecosystems. A practical guideline for event planners is offered on how to implement AI across each touch point of the events ecosystem.
Keywords: Artificial intelligence; Customer experience; Service dominant logic; Value co-creation; Events industry; Scenario technique approach (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://link.springer.com/10.1007/s12525-020-00433-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:elmark:v:31:y:2021:i:3:d:10.1007_s12525-020-00433-4
Ordering information: This journal article can be ordered from
http://www.springer. ... ystems/journal/12525
DOI: 10.1007/s12525-020-00433-4
Access Statistics for this article
Electronic Markets is currently edited by Rainer Alt and Hans-Dieter Zimmermann
More articles in Electronic Markets from Springer, IIM University of St. Gallen
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().