Pedro Cuesta-Valiño , Sergey Kazakov , Patricia Durán-Álamo , Pablo Gutiérrez-Rodríguez
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引用次数: 0
Abstract
Grounded in consumer motivation theory, this study examined how trust in AI, along with its credibility and versatility, drives consumers to adopt AI in online retail, ultimately improving consumer satisfaction and happiness. Survey data from 1,471 consumers in Spain were analysed to scrutinise these linkages. The findings confirmed the proposed estimated model: trust, credibility, and versatility significantly motivated AI adoption, which in turn positively influenced satisfaction and consumer happiness. Сonversely, our results cannot evince the influence of two drivers, namely privacy/security and UI/UX, on consumer motivation to use AI for shopping. The outcomes of this study underscore the strategic value of trustworthy and adaptive AI in shaping consumer behaviour and improving retail experiences, suggesting practical guidance for businesses aiming to foster engagement and emotional connection with their target consumers through AI-driven platforms.
期刊介绍:
European Research on Management and Business Economics (ERMBE) was born in 1995 as Investigaciones Europeas de Dirección y Economía de la Empresa (IEDEE). The journal is published by the European Academy of Management and Business Economics (AEDEM) under this new title since 2016, it was indexed in SCOPUS in 2012 and in Thomson Reuters Emerging Sources Citation Index in 2015. From the beginning, the aim of the Journal is to foster academic research by publishing original research articles that meet the highest analytical standards, and provide new insights that contribute and spread the business management knowledge