Adoption of personal service robots in India

IF 1.7 Q3 MANAGEMENT IIMB Management Review Pub Date : 2022-12-01 DOI:10.1016/j.iimb.2022.12.004

Jaydeep Mukherjee

引用次数: 1

Abstract

Adopting a new product depends on consumers’ product perceptions, psychographics, and cultural contexts. This study combines stimulus-organism-response (S-O-R) and two-factor models to develop a comprehensive model for consumers’ intention to adopt artificial intelligence-powered personal service robots. Data were collected from 400 consumers in India, using existing validated scales from the literature. Structural equation modelling and path analysis were used to test the model fit. Findings suggest that consumers’ intention to adopt a personal service robot is based on perceived usefulness and risk, mediated by resistance bias. Contributions to the extant academic knowledge and marketing applications are discussed.

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印度采用个人服务机器人

采用一种新产品取决于消费者对产品的认知、心理特征和文化背景。本研究结合刺激-有机体-反应(S-O-R)和双因素模型，建立消费者采用人工智能个人服务机器人意愿的综合模型。使用文献中现有的有效量表，从印度的400名消费者中收集数据。采用结构方程建模和通径分析对模型进行拟合检验。研究结果表明，消费者采用个人服务机器人的意愿是基于感知到的有用性和风险，并受到抵制偏见的调节。讨论了对现有学术知识和市场营销应用的贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IIMB Management Review MANAGEMENT-

CiteScore

3.20

自引率

5.90%

发文量

审稿时长

68 days

期刊介绍： IIMB Management Review (IMR) is a quarterly journal brought out by the Indian Institute of Management Bangalore. Addressed to management practitioners, researchers and academics, IMR aims to engage rigorously with practices, concepts and ideas in the field of management, with an emphasis on providing managerial insights, in a reader friendly format. To this end IMR invites manuscripts that provide novel managerial insights in any of the core business functions. The manuscript should be rigorous, that is, the findings should be supported by either empirical data or a well-justified theoretical model, and well written. While these two requirements are necessary for acceptance, they do not guarantee acceptance. The sole criterion for publication is contribution to the extant management literature.Although all manuscripts are welcome, our special emphasis is on papers that focus on emerging economies throughout the world. Such papers may either improve our understanding of markets in such economies through novel analyses or build models by taking into account the special characteristics of such economies to provide guidance to managers.

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