Heard It Through the Grapevine! How Peer-to-Peer Interaction Affects Customer Experience and Word-of-Mouth Intention in Different Service Environments: A Bayesian Approach

Ribamar Siqueira, Enrique ter Horst, Germán Molina, M. Losada, Marelby Amado Mateus
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Abstract

The study of customer experience (CX) has become a prominent topic in marketing research lately because of the evolution of the customer/company relationship. The total number of touch points where this interaction can take place has increased significantly due to the total number of channels and media outlets now available to customers, further increasing the complexity of the customer journey. As a consequence, the level of control companies yield over the experience provided to customers decreased resulting in a more intricate process of creation, management and delivery of experiences to customers. The present research contributes to marketing research in four main ways. First, it investigates the relationship between peer-to-peer interaction, peace-of-mind, and service outcome quality with the customer experience construct. Second, we examine the role peer-to-peer (PTP) interaction plays as a social/external/independent touch point in accordance with Lemon and Verhoef (2016), where interpersonal communication among customers occurs through WOM. PTP interaction is particularly important within the retail context. The present study introduces the novel approach of utilizing an innovative and less common analysis methodology based on Bayesian modeling that offers several advantages over traditional methods such as SEM in terms of how it approaches sample size and homogeneity, potential missing data and specification of research.
听小道消息!在不同的服务环境中,点对点互动如何影响顾客体验和口碑意向:贝叶斯方法
由于客户/公司关系的演变,客户体验(CX)的研究最近已成为营销研究中的一个突出课题。由于现在可供客户使用的渠道和媒体渠道的总数,这种互动发生的接触点的总数已经显著增加,这进一步增加了客户旅程的复杂性。因此,公司对提供给客户的体验的控制水平降低,导致创建、管理和向客户提供体验的过程更加复杂。本研究对市场营销研究的贡献主要体现在四个方面。首先,研究了点对点互动、安心和服务结果质量与客户体验构建之间的关系。其次,根据Lemon和Verhoef(2016)的研究,我们研究了点对点(PTP)互动作为社会/外部/独立接触点的作用,其中客户之间的人际沟通是通过口碑发生的。PTP交互在零售环境中尤为重要。本研究介绍了利用基于贝叶斯模型的创新和不太常见的分析方法的新方法,该方法在如何处理样本量和同质性,潜在缺失数据和研究规范方面比传统方法(如SEM)提供了几个优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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