Barriers to online second-hand purchase behavior

IF 3.6 3区 管理学 Q2 BUSINESS Marketing Intelligence & Planning Pub Date : 2023-12-19 DOI:10.1108/mip-03-2023-0093
Cristina Calvo-Porral, Javier Orosa-González, Nuria Viejo-Fernández
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引用次数: 0

Abstract

Purpose

In this context, the aim of the present research is to examine what factors determine that consumers restrain from shopping used products through the Internet. So, this research aims to analyze what makes consumers prevent from shopping second-hand products online.

Design/methodology/approach

For this purpose, the authors propose and empirically test a conceptual model of the barriers towards online second-hand shopping behavior. Drawing on a sample of 405 consumers data were analyzed through structural equation modeling (SEM).

Findings

The findings reveal that contamination effects and the lack of trust towards the online store, followed by the low perceived product reliability and the poor product perceived quality prevent consumers from shopping used products online. Conversely, consumer embarrassment for shopping second-hand products and the purchase uncertainty do not influence consumers' second-hand shopping behavior.

Originality/value

This study contributes to the marketing literature on second-hand shopping, being an attempt to explore the factors that prevent consumers from purchasing used products through the Internet.

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网上二手购买行为的障碍
目的在此背景下,本研究的目的是探讨哪些因素决定了消费者不通过互联网购买二手产品。因此,本研究旨在分析是什么因素阻碍了消费者在网上购买二手产品。为此,作者提出了网上二手购物行为障碍的概念模型,并进行了实证检验。研究结果研究结果表明,污染效应和对网店缺乏信任,以及产品可靠性感知低和产品质量感知差阻碍了消费者网购二手产品。相反,消费者在购买二手产品时的窘迫感和购买的不确定性并不影响消费者的二手购物行为。
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来源期刊
CiteScore
8.00
自引率
9.10%
发文量
64
期刊介绍: Marketing Intelligence & Planning (MIP) facilitates communication between researchers and practitioners, providing the users of research with a wealth of robust and relevant information. At a time when some journals are losing their relevance to industry and practical requirements, MIP successfully offers a bridge between academic and practitioner thinking, while retaining a high level of scientific rigour.
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