Autonomous Shopping Systems: Identifying and Overcoming Barriers to Consumer Adoption

Item Type Journal paper

Technologies are becoming increasingly autonomous, able to make decisions and complete tasks on behalf of consumers. Virtual assistants already take care of grocery shopping by replenishing used up ingredients while cooking machines prepare these ingredients and implement recipes. In the future, consumers will be able to delegate large parts of the shopping process to autonomous shopping systems. Whereas the functional benefits of these systems are evident, they challenge psychological consumption motives and ingrained human-machine interactions due to the delegation of decisions and tasks to technology. The authors take a cross-disciplinary approach drawing from research in marketing, psychology, and human-computer interaction to examine barriers to adoption of autonomous shopping systems. They identify different types of psychological and cultural barriers, and suggest ways to craft the online and bricks-and-mortar retail environment to overcome these barriers along the consumer journey. The article finishes with implications for policy makers and a future research agenda for researchers examining autonomous technologies.

Authors de Bellis, Emanuel & Venkataramani Johar, Gita
Journal or Publication Title Journal of Retailing
Language English
Subjects business studies
social sciences
HSG Classification contribution to scientific community
HSG Profile Area Global Center for Customer Insight
Refereed Yes
Date 2020
Publisher Elsevier
Volume 96
Number 1
Page Range 74-87
ISSN 0022-4359
Official URL
Depositing User Dr. Emanuel De Bellis
Date Deposited 10 Dec 2019 10:32
Last Modified 12 Aug 2020 13:19


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de Bellis, Emanuel & Venkataramani Johar, Gita (2020) Autonomous Shopping Systems: Identifying and Overcoming Barriers to Consumer Adoption. Journal of Retailing, 96 (1). 74-87. ISSN 0022-4359

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