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消费者使用语音助手进行时尚购物的动机研究:敬畏体验与电子口碑的中介作用

Examining the role of consumer motivations to use voice assistants for fashion shopping: The mediating role of awe experience and eWOM

Technological Forecasting and Social Change · 2023
被引 138 · 同刊同年前 5%
ABS 3

中文导读

研究了消费者使用数字语音助手进行时尚购物的动机(功能、享乐、社交、认知)如何通过敬畏体验和电子口碑影响购买意愿,对时尚零售商优化语音助手有参考价值。

Abstract

Artificial intelligence-enabled voice assistant services have received notable scholarly attention. Fashion retailers offer AI-based voice assistants to facilitate online shoppers. However, the consumer motivations to use digital voice assistants and their effect on the purchase intentions of online fashion shoppers are unexplored. To bridge this literature gap, this study presents a unique theoretical model grounded in the consumer innovativeness concept, broaden-and-built theory, and stimulus-organism-response model to explore the effect of motivated consumer innovativeness to use digital voice assistants on purchase intention and awe experience of online shoppers. The study used data collected from 538 users of digital voice assistants for online shopping of fashion products. Structural equation modeling analysis revealed that the functional, hedonic, social, and cognitive motivated consumer innovativeness for using voice assistants affects purchase intention and awe experience. Further, the awe experience mediates the relationship between motivated consumer innovativeness and purchase intention; and electronic word-of-mouth mediates the relationship between awe experience and purchase intention. The study theoretically contributes to the extant literature on consumer innovativeness, AI-based voice assistants, and fashion shopping. The findings offer insights to fashion retailers for improved use of voice assistants by online shoppers.

消费者行为人工智能营销时尚零售语音助手