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E-waste-word of mouth (EW-WOM) generation: a fuzzy set qualitative comparative analysis (fs/QCA)
Online Information Review ( IF 3.1 ) Pub Date : 2021-04-29 , DOI: 10.1108/oir-11-2019-0343
Sajad Rezaei , Ree Chan Ho

Purpose

This study aims to examine the asymmetrical relationships among information-sharing desire, moral attitudes, lack of concern, relative advantage, market maven tendency and complexity as the antecedents of E-waste-word of mouth (EW-WOM) generation.

Design/methodology/approach

To obtain a holistic view and the interrelationships between conditions, the configural analysis was conducted to assess the asymmetrical relationships using fuzzy set qualitative comparative analysis (fs/QCA). In addition, construct validity, reliability and symmetrical relationships between antecedent conditions (i.e. exogenous constructs) and outcome conditions (i.e. endogenous constructs) are examined using variance-based structural equation modeling (VB-SEM) technique.

Findings

Results imply that market maven tendency accounts for 86.8% of the sum of the memberships in EW-WOM generation. In total, 11 configurations show sufficiency in constructing EW-WOM generation. The configuration of relativeadvanta*moralattitudes*marketmaventend shows the highest consistency value (0.939684) in producing EW-WOM generation (outcome condition). The ∼relativeadvanta *moralattitudes*complexity*∼lackfconcern with raw coverage of 0.626757 and consistency value of 0.864088 show the most sufficient configuration path in producing the outcome.

Originality/value

Product review and recommendation are easily shared in various communication formats and consumers are prone to disseminate information and their experiences with other market segments. However, the role and phenomena of such viral communication in preventing environmental issues caused by electronic and electrical devices (i.e. E-waste) are not well understood. This study is among a few attempts at understanding consumer's decision-making process to engage in E-waste activities such as the reduction of garbage, recycling, compositing and the reuse of electronic or electrical devices.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2019-0343



中文翻译:

电子垃圾口碑 (EW-WOM) 生成:模糊集定性比较分析 (fs/QCA)

目的

本研究旨在研究作为电子垃圾口碑(EW-WOM)产生前因的信息共享欲望、道德态度、缺乏关注、相对优势、市场专家倾向和复杂性之间的不对称关系。

设计/方法/方法

为了获得整体视图和条件之间的相互关系,进行配置分析以使用模糊集定性比较分析(fs / QCA)评估不对称关系。此外,使用基于方差的结构方程模型 (VB-SEM) 技术检查结构有效性、可靠性和先行条件(即外源性结构)和结果条件(即内源性结构)之间的对称关系。

发现

结果表明,市场行家趋势占 EW-WOM 生成成员总数的 86.8%。总共有 11 种配置显示足以构建 EW-WOM 生成。relativeadvanta*moralattitudes*marketmavenend 的配置在生产 EW-WOM 生成(结果条件)中显示出最高的一致性值(0.939684)。∼relativeadvanta *moralattitudes*complexity*∼lackfconcern 的原始覆盖率为 0.626757,一致性值为 0.864088,显示了产生结果的最充分的配置路径。

原创性/价值

产品评论和推荐很容易以各种沟通形式共享,消费者很容易传播信息和他们在其他细分市场的经验。然而,这种病毒式传播在防止由电子和电气设备(即电子垃圾)引起的环境问题方面的作用和现象尚不清楚。这项研究是了解消费者参与电子垃圾活动的决策过程的少数尝试之一,例如减少垃圾、回收、合成以及电子或电气设备的再利用。

同行评审

本文的同行评审历史可从以下网址获得:https://publons.com/publon/10.1108/OIR-11-2019-0343

更新日期:2021-04-29
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