Adoption of Smart Speakers for Voice Shopping

Ransome Epie Bawack (), Samuel Fosso Wamba and Kevin Daniel André Carillo
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Ransome Epie Bawack: ICN Business School, CEREFIGE, University of Lorraine
Samuel Fosso Wamba: TBS Business School
Kevin Daniel André Carillo: TBS Business School

A chapter in Exploring Innovation in a Digital World, 2021, pp 21-35 from Springer

Abstract: Abstract This study aims at determining the effect of perceived risk, privacy concerns, and smart speaker learning capabilities on the adoption of smart speakers for voice shopping. To this end, we used the theory of reasoned action (TRA) and the interpersonal theory of personality to propose a conceptual model that we tested using a mixed methods research design. Our results show that indeed, perceived risks, privacy concerns, and perceived learnability of smart speakers influence consumer intention to use smart speakers for voice shopping, which then influences actual use. Theoretically, this paper contributes to new theoretical perspectives regarding the learning capabilities of AI systems and their importance in AI adoption. Specifically, we use an insightful interpersonal theory and develop a scale that can be used to measure the learnability of AI systems as perceived by users. Practically, we show information systems (IS) and marketing managers key factors that need to be considered when providing voice shopping services through smart speakers.

Keywords: Smart speaker; Voice shopping; Artificial intelligence voice assistants; Learnability; Perceived risk; Privacy concerns (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-87842-9_3

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DOI: 10.1007/978-3-030-87842-9_3

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