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  4. Voice bots on the frontline: Voice-based interfaces enhance flow-like consumer experiences & boost service outcomes
 
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Voice bots on the frontline: Voice-based interfaces enhance flow-like consumer experiences & boost service outcomes

Journal
Journal of the Academy of Marketing Science (JAMS)
ISSN
0092-0703
Type
journal article
Date Issued
2022-06-21
Author(s)
Zierau, Naim
Hildebrand, Christian Alexander
Bergner, Anouk Samantha
Busquet I Segui, Francesc
Schmitt, Anuschka
Leimeister, Jan Marco
DOI
10.1007/s11747-022-00868-5
Research Team
IWI6
Abstract
Voice-based interfaces provide new opportunities for firms to interact with consumers along the customer journey. The current work demonstrates across four studies that voice-based (as opposed to text-based) interfaces promote more flow-like user experiences, resulting in more positively-valenced service experiences, and ultimately more favorable behavioral firm outcomes (i.e., contract renewal, conversion rates, and consumer sentiment). Moreover, we also provide evidence for two important boundary conditions that reduce such flow-like user experiences in voice-based interfaces (i.e., semantic disfluency and the amount of conversational turns). The findings of this research highlight how fundamental theories of human communication can be harnessed to create more experiential service experiences with positive downstream consequences for consumers and firms. These findings have important practical implications for firms that aim at leveraging the potential of voice-based interfaces to improve consumers' service experiences and the theory-driven ''conversational design'' of voice-based interfaces.
Language
English
Keywords
Artificial intelligence
Flow
Media richness
Natural language_processing
Service research
Speech interaction
Voice-based interface
HSG Classification
contribution to scientific community
Refereed
Yes
Pages
20
Official URL
https://link.springer.com/article/10.1007/s11747-022-00868-5
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/108596
Subject(s)
  • information managemen...

Division(s)
  • IWI - Institute of In...

  • IBT - Institute of Be...

Eprints ID
266819
File(s)
JML_877.pdf (1.06 MB)
Scopus© citations
3
Acquisition Date
May 26, 2023
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