Let me shop alone: Consumers' psychological reactance toward retail robotics
Sejin Ha,
Jee-Sun Park and
So Won Jeong
Technological Forecasting and Social Change, 2025, vol. 212, issue C
Abstract:
Service robots, autonomous agents combined with artificial intelligence, have gained significant momentum in retail industry. Research on service robots has been attracting increased attention across various disciplines, with focuses on technical issues, benefits, and adoption/acceptance. However, little is known about consumer reactance to service robots and its psychological mechanisms. This study, based on reactance theory, examines how perceived threat to freedom triggers consumer reactance, and how psychological inertia moderates this process. In doing so, this study identifies a model of reactance to service robots by comparing two existing reactance models. A survey of 352 US consumers who used service robots for in-store shopping was conducted. This study found that consumer reactance to service robots is best explained by a dual-process cognitive-affective model. Increased threats to freedom drive resistance intentions both directly and indirectly through negative cognition, and psychological inertia moderates this process. The findings contributes to the literature by highlighting the adverse aspects of new retail technology and presenting a model of consumers' reactance to service robots. This study offers practical insights into what to consider in designing consumer-service robot retail environments to reduce reactance.
Keywords: Retail robotics; Reactance; Threat to freedom; Inertia; Cognitive-affective model (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162524007601
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:212:y:2025:i:c:s0040162524007601
DOI: 10.1016/j.techfore.2024.123962
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().