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

IF 13.3 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2025-03-01 Epub Date: 2024-12-28 DOI:10.1016/j.techfore.2024.123962
Sejin Ha , Jee-Sun Park , So Won Jeong
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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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让我一个人购物:消费者对零售机器人的心理抗拒
服务机器人是与人工智能相结合的自主代理,在零售行业获得了显著的发展势头。服务机器人的研究已经吸引了各个学科越来越多的关注,重点是技术问题、好处和采用/接受。然而,消费者对服务机器人的抵触情绪及其心理机制却知之甚少。本研究以抗拒理论为基础,考察了对自由的感知威胁如何引发消费者的抗拒,以及心理惯性如何缓和这一过程。在此过程中,本研究通过比较两种现有的电抗模型,确定了服务机器人的电抗模型。该研究对352名使用服务机器人在店内购物的美国消费者进行了调查。这项研究发现,消费者对服务机器人的抗拒可以用认知-情感双过程模型来最好地解释。对自由的威胁增加直接或间接地通过消极认知驱动抵抗意图,而心理惰性缓和了这一过程。这些发现通过强调新零售技术的不利方面并提出消费者对服务机器人的抵制模型,为文献做出了贡献。这项研究为设计消费者服务机器人零售环境以减少电抗提供了实用的见解。
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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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