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Contribution Details

Type Working Paper
Scope Discipline-based scholarship
Title Shopping with Voice Assistants: How Empathy Affects Individual and Family Decision-Making Outcomes
Organization Unit
Authors
  • Alex Mari
  • Andreina Mandelli
  • René Algesheimer
Language
  • English
Institution University of Zurich
Series Name UZH Business Working Paper Series
Number 399
ISSN 2296-0422
Number of Pages 48
Date 2023
Abstract Text Artificial intelligence (AI)-enabled voice assistants (VAs) such as Amazon Alexa increasingly assist shopping decisions and exhibit empathic behavior. The advancement of empathic AI raises concerns about machines nudging consumers into purchasing undesired or unnecessary products. Yet, it is unclear how the machine’s empathic behavior affects consumer responses and decision-making outcomes during voice-enabled shopping. This article draws from the service robot acceptance model (sRAM) and social response theory (SRT) and presents an individual-session experiment where families (vs. individuals) complete actual shopping tasks using an ad-hoc Alexa app featuring high (vs. standard) empathic capabilities. We apply the experimental conditions as moderators to the structural model, bridging selected functional, social-emotional, and relational variables. Our framework collocates affective empathy, explicates the bases of consumers’ beliefs, and predicts behavioral outcomes. Findings demonstrate (i) an increase in consumers’ perceptions, beliefs, and adoption intentions with empathic Alexa, (ii) a positive response to empathic Alexa holding constant in family settings, and (iii) an interaction effect only on the functional model dimensions whereby families show greater responses to empathic Alexa while individuals to standard Alexa.
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Official URL http://www.business.uzh.ch/forschung/wps.html
Other Identification Number merlin-id:23371
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Keywords Voice assistant; Voice commerce; Empathy; Shopping behavior; Service robot acceptance model; Social response theory; Voice app