The Online Experience of Luxury Consumers: Insight into Motives and Reservations

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Biometrics Pub Date : 2020-10-22 DOI:10.5539/ijbm.v15n11p157
Lama Halwani
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引用次数: 3

Abstract

Several research efforts provide insight into the corporate online strategies of luxury brands. However, little research has focused on how consumers perceive the luxury online experience. This research aims to understand the underlying motivations and reservations towards online luxury purchase. The perceived online experience of luxury consumers is examined within the framework of the functional theory of attitudes, rooted in the work of Katz (1960) and Shavitt (1989). An exploratory approach yielded a typology of five motivations: independent browsing, personalized communication, accessibility, and convenience; and three reservations: purchase of unfamiliar brands, lack of spontaneity and uninspiring online retail environments. This research contributes a much needed consumer perspective of luxury online retail to the existing literature. The findings have resulted in a comprehensive understanding of the online shopping luxury experience. Theoretically, the findings support the functional theory of attitudes and the influence of both hedonic and utilitarian dimensions on the online luxury experience. More practically, this work shows that recognition of the underlying motivations and reservations of online luxury consumers informs marketers and brand managers on how to adapt their online presence and initiatives.
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奢侈品消费者的在线体验:洞察动机和保留
几项研究为奢侈品牌的企业在线战略提供了见解。然而,很少有研究关注消费者如何看待奢侈品在线体验。本研究旨在了解在线奢侈品购买的潜在动机和保留意见。奢侈品消费者感知到的在线体验是在态度功能理论的框架内进行研究的,该理论植根于Katz(1960)和Shavitt(1989)。一种探索性的方法产生了五种动机类型:独立浏览、个性化交流、可访问性和便利性;还有三点保留意见:购买不熟悉的品牌、缺乏自发性和缺乏鼓舞人心的在线零售环境。本研究为现有文献提供了一个非常需要的奢侈品在线零售消费者视角。研究结果使人们对网购奢侈品的体验有了全面的了解。从理论上讲,研究结果支持了态度的功能理论,以及享乐和功利两个维度对在线奢侈品体验的影响。更实际的是,这项研究表明,对在线奢侈品消费者潜在动机和保留意见的认识,为营销人员和品牌经理提供了如何调整其在线存在和倡议的信息。
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来源期刊
International Journal of Biometrics
International Journal of Biometrics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
1.50
自引率
0.00%
发文量
46
期刊介绍: Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.
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