移动购物服务质量维度及其对顾客信任和忠诚度的影响:一项实证研究

Ruoqing Zhang, Minjoon Jun, Sergio Palacios
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引用次数: 22

摘要

目的本研究旨在确定移动购物者感知的显著移动购物服务质量维度,并检验衍生的移动购物服务品质维度、客户信任和客户忠诚度之间的联系。设计/方法论/方法研究工具是基于先前研究的大部分验证措施开发的。对问卷进行了预测试,以评估测量量表的内容有效性。在线调查用于收集所需的数据。我们使用结构方程建模(SEM)来分析从286名移动购物者收集的数据。在广泛回顾相关文献的基础上,我们确定了五个关键的移动购物服务质量维度:响应性、个性化、易用性、美观性和感知风险。SEM结果表明,所有五个移动购物服务质量维度都直接和/或间接显著影响客户忠诚度。此外,研究结果表明,信任在响应性和个性化对忠诚度的影响中起部分中介作用;在美学和感知风险对忠诚度的影响中具有完全的中介作用,而在易用性对忠诚度的作用中没有中介作用。实际含义移动零售商(m-retailers)可以使用本研究中开发的质量测量工具来检测服务质量的弱点和长处。基于质量评估,移动零售商可以有效地将企业资源分配给本研究揭示的重要服务质量属性,从而提高其整体服务质量绩效,进而扩大其忠实客户群。独创性/价值先前的研究表明,在离线和在线环境中,服务质量和客户信任在提高客户忠诚度方面发挥着关键作用。不幸的是,没有研究实证检验移动购物背景下服务质量维度、信任和忠诚度之间的关系。因此,本研究的一个主要贡献是解决这一研究空白,并为采用后移动购物研究的有限主体增加知识。
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M-shopping service quality dimensions and their effects on customer trust and loyalty: an empirical study
PurposeThe present study seeks to identify the salient mobile shopping (m-shopping) service quality dimensions as perceived by mobile shoppers (m-shoppers) and examines the linkages between the derived m-shopping service quality dimensions, customer trust and customer loyalty.Design/methodology/approachThe research instrument is developed based upon the mostly validated measures of prior studies. A pretest of the questionnaire is conducted to assess the content validity of the measurement scales. An online survey is used to collect the required data. We employ structural equation modeling (SEM) to analyze data collected from 286 m-shoppers.FindingsWe identify five key m-shopping service quality dimensions: responsiveness, personalization, ease of use, aesthetics and perceived risk based on an extensive review of relevant literature. The SEM results show that all the five m-shopping service quality dimensions significantly impact, directly and/or indirectly, customer loyalty. Moreover, the results show that trust plays a partial mediating role in the effects of responsiveness and personalization on loyalty; a full mediating role in the effects of aesthetics and perceived risk on loyalty and no mediating role in the effect of ease of use on loyalty.Practical implicationsMobile retailers (m-retailers) can use the quality measurement tool developed in this study to detect service quality weaknesses and strengths. Based on their quality assessment, m-retailers can effectively allocate corporate resources to the important service quality attributes uncovered by this study, thereby improving their overall service quality performance and in turn expanding their loyal customer base.Originality/valuePrior studies have demonstrated that service quality and customer trust play a pivotal role in enhancing customer loyalty in both offline and online settings. Unfortunately, no research has empirically examined the relationships between service quality dimensions, trust and loyalty in the context of m-shopping. Therefore, a major contribution of this study is to address this research gap and add knowledge to the limited body of post-adoption m-shopping research.
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来源期刊
CiteScore
5.60
自引率
12.00%
发文量
53
期刊介绍: In today''s competitive business and industrial environment, it is essential to have an academic journal offering the most current theoretical knowledge on quality and reliability to ensure that top management is fully conversant with new thinking, techniques and developments in the field. The International Journal of Quality & Reliability Management (IJQRM) deals with all aspects of business improvements and with all aspects of manufacturing and services, from the training of (senior) managers, to innovations in organising and processing to raise standards of product and service quality. It is this unique blend of theoretical knowledge and managerial relevance that makes IJQRM a valuable resource for managers striving for higher standards.Coverage includes: -Reliability, availability & maintenance -Gauging, calibration & measurement -Life cycle costing & sustainability -Reliability Management of Systems -Service Quality -Green Marketing -Product liability -Product testing techniques & systems -Quality function deployment -Reliability & quality education & training -Productivity improvement -Performance improvement -(Regulatory) standards for quality & Quality Awards -Statistical process control -System modelling -Teamwork -Quality data & datamining
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