高校校园营销服务质量与顾客忠诚的关系研究

随着中国经济文化的发展,高校校园营销逐渐兴起,重视面向大学生的市场营销对企业的发展具有重要的作用。在竞争激烈的环境中如何传递高质量的服务,提高顾客对价值的感知,提升顾客忠诚是企业获取和保持竞争优势的关键。本文在文献回顾的基础上,根据研究对象的行业特征,采用服务质量四因素模型作为划分服务质量维度的依据,通过实证分析构建了高校校园营销服务质量与顾客忠诚关系模型,并针对提高顾客忠诚提出了一些行之有效的方案,希望能够从服务质量角度进一步完善企业高校营销的战略。     

退货服务质量对零售企业顾客忠诚度的影响

从零售企业退货服务角度出发,本文在界定退货服务质量概念及其构成维度的基础上,构建了退货服务质量对顾客忠诚度的影响假设模型,并对模型加以验证。研究结果表明退货服务质量通过顾客满意度这个中介变量正向影响顾客忠诚度,其子维度对顾客忠诚度的影响存在差异,退货服务保证性与响应性对顾客满意度及顾客忠诚度的影响非常显著,退货服务公正性的影响则不显著。因此,退货服务质量对顾客满意度和顾客忠诚度的影响主要是通过退货服务的保证性和响应性两个维度发挥作用。     

基于顾客价值的服饰类产品网络顾客忠诚提升研究

互联网技术的快速发展,为网络销售提供了有利条件和良好的发展前景。而服饰类产品,又是众多网络销售品类中,发展最快、消费者最热衷的一类,厂家之间竞争激烈。如何提高服饰类产品的网络忠诚度,对企业经营与竞争能力的提升都有着十分重要的意义。本文以网络消费者为研究对象,通过构建服饰类产品顾客价值对网络顾客忠诚影响的模型,并从顾客价值四个维度、网络顾客满意与网络顾客忠诚出发,设计量表进行数据收集与实证分析,最后在此基础上提出提升服饰类产品网络顾客忠诚的建议。     

谈服务业顾客忠诚及其培养

随着我国服务市场竞争日益激烈,顾客忠诚对服务业的生存与发展意义重大。影响服务业顾客忠诚的因素是多方面的,包括服务质量、顾客满意、转换成本以及顾客价值等;服务业要培养顾客忠诚,必须有效管理顾客期望,提供超越顾客期望的价值,提高顾客满意度,培养品牌忠诚度,稳定员工队伍。     

中小医药零售连锁企业顾客忠诚营销战略分析

中小医药零售连锁企业要想在新的市场竞争环境下生存并获得持续的竞争优势,开发并保持忠诚顾客显得尤为重要。通过顾客满意、服务质量、顾客价值、顾客信任和转换成本提升顾客忠诚,将成为中小医药零售连锁企业营销战略的重点。     

服务接触中的顾客管理实例研究

服务接触中顾客是影响服务质量的重要因素.顾客的期望、行为都会影响到自身的服务感知、其他顾客的服务感知,也会影响服务人员.通过对顾客的管理,引导顾客的服务期望,控制顾客的行为,调节顾客间关系,能营造良好的服务互动环境,提升顾客满意度.     

电子服务质量与顾客忠诚的关系研究

随着互联网技术的迅速发展,网上购物与交易的趋势已势不可当,越来越多的企业加入了互联网营销的阵营,使竞争加剧。那么,在这种情形下,忠诚的顾客就成为了在线服务企业盈利的源泉。文章将运用理论和实证相结合的方法,基于前人研究成果的支撑,确定文章研究的电子服务质量的维度并建立与顾客忠诚的概念模型,再通过调查问卷的发放进行相关数据的搜集,建立电子服务质量及顾客忠诚之间关系的假设模型,对样本数据进行回归分析验证假设,希望得出的结论为在线服务企业提升顾客忠诚提供科学合理的参考依据。     

网络环境下顾客忠诚的影响因素研究综述

本文通过对大量文献的研究,对比了网络环境下与传统环境下顾客忠诚,提炼出五点影响网络营销顾客忠诚的因素,即服务或产品质量、顾客信任、顾客价值、顾客满意和转换成本,以及个别因素间间接影响网络顾客忠诚的互动关系,以期对该领域的深入研究提供借鉴。     

混合服务质量对双线服务忠诚的影响——线上线下融合视角

传统服务质量和电子服务质量已广受关注,但同时基于人-人交互和人-技术交互的混合服务质量还缺乏深入探索。文章基于我国线上线下融合情境构建并实证分析了混合服务质量对双线服务忠诚的影响模型。实证分析表明,实体服务质量、电子服务质量、整合服务质量对感知价值和线上忠诚有积极影响,实体服务质量、整合服务质量对关系质量和线下忠诚有积极影响;感知价值和关系质量对线上线下忠诚均有积极影响;并且,感知价值和关系质量在混合服务质量三维度与线上线下忠诚之间起到一定程度的中介作用。此外,跨渠道质量不一致负向调节了电子服务质量、整合服务质量对感知价值的影响,负向调节了实体服务质量、整合服务质量对关系质量的影响;渠道使用模式负向调节了电子服务质量、整合服务质量对感知价值和关系质量的影响。研究从线上线下融合视角深入挖掘了混合服务质量影响服务忠诚的顾客心理机制和多渠道异质性特征,对混合服务提供商的服务质量和顾客忠诚管理有一定启示作用。     

顾客参与对顾客满意和顾客公民行为的影响研究

在服务的生产传递过程中,顾客参与使顾客不再是独立于服务组织之外的单纯消费者。作为服务的共同生产者,顾客不仅会影响组织的生产效率和服务质量,还会影响自身的心理结果和行为结果。文章选取顾客满意和顾客公民行为作为顾客心理和行为结果的衡量指标,构建了顾客参与对顾客满意和顾客公民行为影响的理论模型,并以团队游为例进行了实证研究。研究表明：顾客参与的人际互动和信息分享两个维度对顾客满意有正向影响;顾客满意对顾客公民行为各维度均有正向影响;顾客参与对顾客公民行为有显著正向影响,且顾客满意在顾客参与对顾客公民行为的影响关系中存在部分中介效应。     

Customer value and customer loyalty: Is competition a missing link?

This study is aimed at providing an insight into the effects of competition on customer value delivery for customer loyalty. Data were collected using a questionnaire on dyads of service employees and customers. The techniques of ANOVA, ordinary least squares, and logistic regression were used to analyze the dyad data in terms of research purposes. Results show that competition is a moderator of the relationship between customer value and customer loyalty from the consumer perspective. Also, competition is a predictor of customer loyalty from the employee perspective. Insights into this asymmetry in the view on competition between employees and consumers are found. Findings of the moderating effects of competition on the customer value-customer loyalty relationship suggest the significance of competition in the service encounter. In addition, this study found that the predictive validity of the loyalty model for consumers is significantly higher than that for employees. This finding suggests that the factors driving customer loyalty are better captured from the consumer perspective. Findings of the impact of competition on the consumer’s experience of different types of value provide insights as to where to invest in generating customer value to achieve desired customer loyalty. This study also suggests to managers how service employees could be recruited and managed to achieve a service competitive advantage. This study extends our understanding of the customer value–customer loyalty relationship by uncovering the significant role of competition from a dyadic viewpoint.     

Integration of standardization and customization: Impact on service quality,customer satisfaction,and loyalty

The basic objective of this study is to analyse the direct and indirect impacts of standardization and customization on customer satisfaction and loyalty through service quality. The service quality has two dimensions: technical quality and functional quality. A framework is developed by extending Grӧnroos’ model of service quality by including the antecedents of service quality. A questionnaire-based survey collected data from 315 customers of three service industries: healthcare, hospitality, and education. The data was analysed and the model validated using PLS-SEM. The findings show that: (1) integration of standardization and customization of service offerings is critical for improved service quality; (2) standardization has higher impact on service quality when compared to customization; (3) functional quality has higher impact on customer satisfaction when compared to technical quality; and (4) customer satisfaction has a significant effect on customer loyalty. The contribution of this study is the development of an integrated framework to analyse the roles of standardization and customization on service quality.     

Engaging and retaining customers with AI and employee service

Artificial intelligence (AI) permeates in service organisations as a tool to enhance operational efficiency and improve customer experience. Reports show that most consumers prefer human interactions with service employees. Drawing on this observation, the current study examines how customers' service experiences with employees and AI influence customer engagement and loyalty. Customers’ emotional intelligence is proposed as a moderator between service experience and customer engagement. The study was conducted with hotel customers in Australia. The results show that whilst both service experience with employees and AI are significantly related to customer engagement and loyalty, only certain dimensions make significant unique variances in the outcome variables. The findings indicate that customers prefer employee service. These service experiences also have significant partial mediation effects on customer loyalty. Emotional intelligence has a significant moderation effect on customer engagement. Discussion of these findings and implications derived from this study concludes this paper.     

Customer-perceived value and loyalty: how do key service quality dimensions matter in the context of B2C e-commerce?

This paper develops a research model to examine the effect of e-service quality dimensions on customer-perceived value and customer loyalty. Based on a survey of 235 online customers, we identify five key e-service quality dimensions: care, reliability, products portfolio, ease of use, and security. Our empirical results show that all the five dimensions have significant and positive impacts on customer-perceived value which, in turn, increases customer loyalty. We further examine the mediating role of customer-perceived value in the relationship between each e-service quality and customer loyalty. The results suggest that customer-perceived value plays a partially mediating role in the effect of ease of use, care, product portfolio, and reliability on customer loyalty, and a fully mediating role in the relationship between security and customer loyalty. Managers may be in a position to benefit by employing the model presented in this study in an effort to improve service performance and, hence, retain customers.     

Competitiveness vis-à-vis service quality as drivers of customer loyalty mediated by perceptions of regulation and stability in steady and volatile markets

The purpose of this research is to investigate predictors of customer loyalty in order to identify alternatives to customer satisfaction with service quality, which has been traditionally accepted as the primary predictor of customer loyalty, particularly for services. A stratified sample of bank customers was surveyed to collect information on customer perceptions and behaviors in relation to satisfaction with service quality, competitiveness, risk, regulation, stability and loyalty. Partial least squares path modelling (PLSPM) was applied to develop loyalty models for a steady market (Australia) and a volatile market (Greece). This study's empirical findings support theoretical arguments for the inclusion of customer perceptions of competitiveness in loyalty modelling. Perceptions of regulation and stability intervene in the relationship between drivers of loyalty and loyalty itself. For bankers, the study emphasizes the need to move away from customer satisfaction with service quality to explain customer loyalty, towards focusing efforts on achieving relative superiority in competitiveness, namely competitive productivity and products. Profiling customers based on their perceptions of a bank's competitiveness can provide additional explanatory power beyond traditional satisfaction based loyalty models. Services marketing has focused on the service components, and there is no doubt about its crucial role. But given this focus, other factors, such as the actual product component, have been somewhat overlooked in services research. The study makes a unique contribution to understanding and modelling customer loyalty by demonstrating the importance of the inclusion of customer perceptions of other factors as appropriate to market conditions.     

The antecedents of customer loyalty: A moderated mediation model of customer relationship management quality and brand image

This study examines the mediating role of customer relationship management (CRM) quality to better explain the effects of service evaluation variables (service quality, customer satisfaction and customer value) on customer loyalty. The study also investigates the moderating effect of brand image on these mediated relationships. The mediating role of CRM quality on the relationship between the service evaluation variables and customer loyalty is supported. Further, it is found that the indirect effect of customer satisfaction on customer loyalty via CRM quality is stronger when perceived brand image is high than when it is low. The results have implications for relationship managers, brand managers and scholars who use service evaluation and relational metrics to predict customer loyalty.     

CUSTOMER SERVICE IN THE INTERNET‐ENABLED LOGISTICS SUPPLY CHAIN: WEBSITE DESIGN ANTECEDENTS AND LOYALTY EFFECTS

This article extends the existing research on logistics customer service‐loyalty relationships to the online logistics supply chain environment by examining potential website determinants of logistics customer service quality. A structural equation analysis of 373 online shopping transactions suggests that perceived quality of all logistics customer service activities (perceived cycle time, in‐stock availability, and customer responsiveness) varies inversely with: (1) perceived ease of use, and (2) content vividness of the website; and positively with product information content. However, only retailer customer responsiveness assessment was found to have any significant influence on consumer intended loyalty behavior in Internet‐enabled supplies chains.     

Understanding the user satisfaction and loyalty of customer service chatbots

The artificial intelligence (AI) chatbot is emerging as a significant corporate customer-facing application, potentially increasin customer service efficiency while reducing costs. However, little work has sought to assess the quality of service they provide consumers. This study applies the e-service quality by incorporating conversational AI quality to predict users' satisfaction and loyalty to customer service chatbots. The proposed model was empirically evaluated using survey data collected from 219 users responding about their perceptions of customer service chatbots. The findings indicate that AI chatbot service recovery quality and AI chatbot conversational quality significantly influence user satisfaction. On the other hand, core AI chatbot service quality and satisfaction significantly influenced chatbot user loyalty. This study contributes to researchers and practitioners by proposing and evaluating a more comprehensive chatbot e-service quality that combines both fundamental (core service and service recovery qualities) and human-like (conversational quality) aspects of e-service. The results are of value in devising future AI chatbot services and related strategies.     

Service quality dimensions and superior customer perceived value in retail banks: An empirical study on Mexican consumers

This study concerns the service quality topic in the retail bank sector. A sample of 209 retail bank clients was taken, measuring the performance of service quality attributes of their principle retail bank. Behavioral performance variables such as satisfaction, loyalty and customer perceived value were also measured. In a factor analyses the attributes were separated into three factors. These three independent factors explain a considerable amount of variability of a satisfaction–loyalty factor. On the other hand, they could not explain the superior perceived value; and no differences between the service quality performances of the bank brands were found. In conclusion, regardless of the degree of satisfaction and loyalty, the customer is not willing to pay more for banking services at his regular bank than he would at other brands. This implies that superior perceived value is not being achieved via service quality, which suggests a lack of differentiation between brands in this sector.