Let me shop alone: Consumers' psychological reactance toward retail robotics

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-12-28 DOI:10.1016/j.techfore.2024.123962
Sejin Ha , Jee-Sun Park , So Won Jeong
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引用次数: 0

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.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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