Cookies?
Library Header Image
LSE Research Online LSE Library Services

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

Zierau, Naim, Hildebrand, Christian, Bergner, Anouk, Busquet, Francesc, Schmitt, Anuschka ORCID: 0000-0003-1101-6529 and Marco Leimeister, Jan (2022) Voice bots on the frontline: voice-based interfaces enhance flow-like consumer experiences & boost service outcomes. Journal of the Academy of Marketing Science, 51 (4). pp. 823-842. ISSN 0092-0703

[img] Text (s11747-022-00868-5) - Published Version
Available under License Creative Commons Attribution.

Download (1MB)

Identification Number: 10.1007/s11747-022-00868-5

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.

Item Type: Article
Additional Information: © 2024 The Author(s)
Divisions: LSE
Subjects: H Social Sciences > HF Commerce
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology
Date Deposited: 16 Oct 2024 13:27
Last Modified: 20 Nov 2024 22:36
URI: http://eprints.lse.ac.uk/id/eprint/125786

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics