Managing a Global Retail Brand in Different Markets: Meta-Analyses of Customer Responses to Service Encounters

This study investigates how retailers can leverage their brand to shape customers’ satisfaction with service encounters. It develops and tests hypotheses about how brand, store, and consumer factors moderate customer responses to experience clues during retail service encounters. Six meta-regression analyses synthesize and compare results from 842 satisfaction equations describing customers’ encounters with a global retailer operating 400 stores in 32 countries. The results show how customers weigh their perceptions of service encounters differently depending on brand, store, and consumer factors. In markets where customers believe the retailer has high holistic brand quality, they place less weight on experience clues within the store. In markets where customers believe the retailer’s service brand promise, they place more weight on in-store experience clues. In markets where the retailer promises utilitarian value, customers weigh functional experience clues more heavily. In markets with an online purchasing channel, the effect of experience clues common to offline and online store environments is magnified, and unique clues are diminished. In addition, customers heavily weigh experience clues that fit their goals. In general, retail success factors include high brand quality (which makes customers more forgiving), a service brand promise that is mirrored in the store image (which makes customers attend to the experience clues aligned with them), and the careful monitoring and managing of retail touchpoints (to customize experience clues to each market). In this way, retailers can use customer-based strategies to effectively design and manage their global retail brand in different markets.     

Social perspectives of e-contact center for loyalty building

Recently, e-contact centers have gained popularity among online companies as a preferred channel to communicate with their customers. E-contact centers are respected among e-retailers and online customers because they provide customers value within a social construct. This research suggests that an e-contact center serves as an effective marketing vehicle, which can be used for establishing and maintaining desired relationships with customers. E-contact centers enhance the relationship between e-retailers and online customers by providing social values and quality interpersonal service to customers. Despite the strategic importance of e-contact centers in relation to customer loyalty, little attention has been given to the topic. To remedy this, the primary objective of this study is to assess the impacts of social elements (i.e. perceived social value and interpersonal service quality) delivered by e-contact centers on customers' loyalty formation processes. Loyalty formation process is parsimoniously explained by an integrative model, which incorporates interpersonal service quality, social value, retailer satisfaction, and e-contact center satisfaction constructs.     

Factors Influencing Web Customers’ Willingness to Engage in Online Shopping with an Internet Retailer

This study is an effort to identify and analyze the factors that could potentially influence web customers’ willingness to engage in online shopping with an Internet retailer. Using the primary data collected from a large sample of a web-based consumer survey, researchers developed a structural Equation model that embodied those factors that potentially influenced web customers’ willingness to engage in online shopping with an Internet retailer. Seven constructs were considered to study the effects of those factors on the web customers’ willingness to engage in online shopping with an Internet retailer, including quality of service, inertia to change, economic value, stress reduction, enjoyment in doing business, comfort level with website, and aesthetic appeal. The proposed model is largely supported and validated by several statistical measures and tests.     

Service Quality Perceptions of Customers About Mobile Telecommunication Services: A Case of India

ABSTRACT

 Because of the intangible nature of services, there is always a challenge in front of service providers to find out which dimensions of service quality are more important for customers. The author presents the results of a study in India that assesses the service quality perceptions of customers about mobile telecommunication services. EFA explained 69.694% of variance and extracted eight service quality dimensions. The results of a multiple regression analysis show that customers attributed the highest importance to employee performance followed by transmission quality, competitiveness, support attributes, reliability, credibility, operational efficiency, and convenience. The sample consisted of 411 respondents.     

Online service quality: Content and process of analysis

Abstract

The purpose of this paper is to build a comprehensive model of online service quality that confirms both the content of, and process of measuring, this higher-order construct. While the past decade has seen the Internet become a key channel for service delivery, there remains uncertainty around many aspects of both the content of, and process of how to measure, online service quality. We use a large sample of European consumers (n = 3399) of four companies (two pure play and two multichannel) to develop a new nine-dimension model of online service quality. We validate importance as a disconfirmation standard. We find trust in the company to be the most important dimension of online service quality, with customer service also highly rated. Issues of personalisation/customisation were very low rated. We find the online pure-play companies in the sample delivering better performance than multichannel retailers, despite having customers who are actually more demanding. We discuss the practical and research implications of these findings.     

E-retail factors for customer activation and retention: An empirical study from Indian e-commerce customers

Customer satisfaction has emerged as one of the most important factors that guarantee the success of online store; it has been posited as a key stimulant of purchase, repurchase intentions and customer loyalty. A comprehensive review of the literature, theories and models have been carried out to propose the models for customer activation and customer retention. Five major factors that contributed to the success of an e-commerce store have been identified as: service quality, system quality, information quality, trust and net benefit. The research furthermore investigated the factors that influence the online customers repeat purchase intention on the basis of the Means End Chain theory (MEC) and Prospect theory. By hypothesising that a combination of both utilitarian value and hedonistic values are needed to affect the repeat purchase intention (loyalty) positively, Structural equation model has been presented on the primary data collected from the Indian online shoppers. Results indicate the e-retail success factors, which are very much critical for customer satisfaction. By increasing the utilitarian value and hedonistic values derived by the customers, customer satisfaction and hence the customers repeat purchase intention can be increased significantly.     

基于KANO模型的网络零售商服务质量评价

以KANO模型为基础,建立网络零售商服务质量评价体系,通过定量分析不同层次的顾客需求,找出顾客和网络零售商的接触点,识别使顾客满意的至关重要的因素,如必须质量、期望质量、魅力质量,提升网络零售商的服务质量和经营业绩。网络零售商只有保持必须质量,提升期望质量,增加魅力质量,才会在激烈的竞争不断的发展和壮大。     

Nigerian Banks-Quality of Services

Abstract

The qualitative characteristics of the service are becoming increasingly important. Quality improvements can lead to increased revenues and decreased costs as a result of increased customer loyalty and the cross-selling of bank products, as loyal customers spend more with chosen banks, attract lower administration costs and are more profitable. The objective of this research is to identify customers' expectations and perceptions of bank service quality to determine the service quality level. It also aims to determine key factors in selecting a particular bank. The findings of the research suggest that the key factors in selecting a particular bank are credibility, location and range of services. The majority of respondents are dissatisfied with the quality of services provided by banks in Nigeria. The research has indicated that complicated procedures and forms, queuing time, lack of individual approach and absence of new technology are some of the factors which create dissatisfaction and lack of co-operation between firms and banks. Interestingly these results are similar to customers in developed countries as indicated by similar studies in developed countries.     

The influence of the DinEX service quality dimensions on casual-dining restaurant customers’ satisfaction and behavioral intentions

The following empirical study examines the effects of specific service quality dimensions from the DinEX model on customers’ satisfaction and behavioral intentions. The originality of DinEX over other restaurant service quality instruments is primarily its focus on dimensions such as social connectedness and homophily, which represent social constructs that portray an internal sense of belonging and the tendency for people to affiliate with similar others. A self-administered questionnaire was distributed in an independent casual-dining restaurant located in the southeastern United States and a sample of 209 respondents was obtained. Results show that food healthfulness and food quality have an influence on customers’ satisfaction, which in turn affects their behavioral intentions. The implications for practitioners are discussed in detail.     

Impact of customers' assessment of website attributes on e-relationship in the securities brokerage industry: A multichannel perspective

The paper focuses on the comparison between pure e-retailers and multichannel retailers' customers and how they differ in their evaluations of functional and relational attributes of the website, as well as how these attributes impact online relationships. An online survey among online securities investors was conducted. Subjects were self-selected from blogs and forums dedicated to personal finance. A total of 326 questionnaires formed the final sample of this study. By using a series of univariate analyses of variance, structural equation modeling, and multi-group analysis, this research empirically demonstrates that the e-service quality evaluation and determinants of online relationship are different in multichannel contexts versus pure online ones. Results show that customers of multichannel retailers are not more loyal than those of pure online retailers. However, multichannel retailers exceed pure online retailers at achieving a higher level of online trust and a higher assessment of website features. The paper concludes with managerial implications that may be useful in multichannel retailing.     

Electronic Services Co-Creation Experience: Telecommunications Sector in Tunisia as an Example

Despite the intensive use of the Internet in service delivery, little attention has been paid so far to assessing the impact of the quality of electronic services on the willingness of customers to participate in the co-creation experience online. In order to determine how the consumer reacts to the adoption of new information and communication technologies and, in particular, online telecommunication services, we empirically test the influence of electronic service quality dimensions on the co-creation experience online, integrating the attitude, satisfaction, and intention of the customer. The data were collected from a sample of 263 Tunisian telecommunications customers and analyzed using the structural equation modeling technique. The results show that, even if five dimensions of the quality of the online service positively influence the attitude towards the website, all of the dimensions of the quality of e-services positively influence the e-satisfaction. The results also confirm that customers' attitude towards the website and e-satisfaction positively affect the intention to use the website, which in turn affects the willingness of clients to participate in the experience co-creation online.     

QUALITY,OPERATIONAL LOGISTICS STRATEGY,AND REPURCHASE INTENTIONS: A PROFILE DEVIATION ANALYSIS

Emerging thoughts on quality suggest that three principal sources of customer‐based value creation exist for firms operating in the online marketplace. These include a focus on delivering (1) service quality, (2) product quality, and (3) eBusiness quality. Drawing on strategic choice theory coupled with configuration theory, we conducted a profile deviation analysis among customers of online grocery firms using the “ideal” quality profile for four operational logistics strategies as the benchmark (semi extended strategy, fully extended strategy, de‐coupled strategy, and centralized extended strategy). The findings suggest that service, product, and eBusiness quality‐based fit with operational logistics strategy type are associated with customers' behavioral (repurchase) intentions. This lends support to the notion that capitalizing on the appropriately weighted quality‐focus represents a strategic vehicle to create superior outcomes in online businesses. The makeup of these ideal quality profiles that represent the strongest repurchase intentions of customers is also provided.     

A PLS-SEM approach to understanding E-SQ,E-Satisfaction and E-Loyalty for fashion E-Retailers in Spain

Brand related goals in the online environment are consistent with those of the retail environment: providing products and services that ultimately convert customers into brand loyal customers. Investigating the components of e-loyalty may be a way to improve it. Using a Spanish sample, this study investigates a nine-dimension, latent variable model to understand the relationship between electronic service quality (e-SQ) and e-satisfaction, as well as that between e-satisfaction and e-loyalty within Spanish fashion brand e-retailers. Results suggest that for fashion e-retailers in Spain, e-service quality is positively related to e-satisfaction and e-satisfaction is positively related to e-loyalty. This work supports the use of this framework in future research to better understand these relationships in other countries.     

Big social data and customer decision making in vegetarian restaurants: A combined machine learning method

Customers increasingly use various social media to share their opinion about restaurants service quality. Big data collected from social media provides a data platform to improve the service quality of restaurants through customers' online reviews, where online reviews are a trustworthy and reliable source that helps consumers to evaluate food quality. Developing methods for effective evaluation of customer-generated reviews of restaurant services is important. This study develops a new method through effective learning techniques for customer segmentation and their preferences prediction in vegetarian friendly restaurants. The method is developed through text mining (Latent Dirichlet Allocation), cluster analysis (Self Organizing Map) and predictive learning technique (Classification and Regression Trees) to reveal the customer’ satisfaction levels from the service quality in vegetarian friendly restaurants. Based on the obtained results of our experiments on the data vegetarian friendly restaurants in Bangkok, the models constructed by Classification and Regression Trees were able to give an accurate prediction of customers' preferences on the basis of restaurants' quality factors. The results showed that customers’ online reviews analysis can be an effective way for customers segmentation to predict their preferences and help the restaurant managers to set priority instructions for service quality improvements.     

Service encounter in multi-channel distribution context: virtual and face-to-face interactions and consumer satisfaction

This article studies service quality and customer satisfaction in a context of multi-channel service distribution. The objective is to identify quality factors influencing the overall satisfaction of a multi-channel customer. A quantitative study was conducted among 445 customers mainly targeted on users of the traditional physical channel and online channel of a French retail bank. Using structural equation models with AMOS, the results show that perceived service quality in the virtual channel, perceived service quality in the traditional channel, and multi-channel integration quality have a positive influence on the overall satisfaction of the multi-channel customer.     

Research on the influence of after-sales service quality factors on customer satisfaction

Determining customer satisfaction elements in retailing after-sales services have been well explored; however, the increasing competition in this area demands the investigation of actual instrumentality of these elements on satisfaction of customers. In the present research, we have proposed a framework for assessing the instrumentality of after-sales services on customer satisfaction. Kano model and SERVQUAL framework were used to categorize customer satisfaction elements. In addition, in order to address behavioral dissimilarities among customers, RFM clustering technique was used for analysing 243,180 customers of automobile after-sales services. Accordingly, dissatisfaction decrement index and satisfaction increment index were measured for every cluster separately. We identified a group of 21 quality elements and demonstrated the instrumentality and quality of these quality elements on customer satisfaction. RFM clustering technique is applied to address customer dissimilarities and we demonstrated the preferences and desires of customers in each cluster. While some papers have already identified the influential factors of after-sales services on customer satisfaction, this is for the first time that the instrumentality of after-sales services is being identified. Accordingly, this study demonstrates how different after-sales services quality elements affect customer satisfaction. Therefore, the results of this study can help companies to allocate their resources more efficiently.     

Service Recovery,Justice Perception,and Forgiveness: The “Other Customers” Perspectives

ABSTRACT

While extant research has examined the effects of service recovery on customer attitude and behavior, little is known about whether customers react differently to the same recovery depending on whether they are victims or observers of a service failure. Adopting the “other customers” perspectives, this study used a quasiexperimental design using scenarios in a professional services context with 267 U.S. respondents recruited from Qualtrics national online panel. We found that when compensation is offered, victims will perceive a higher level of distributive justice than observers. However, the effects of service recovery on forgiveness intention is stronger among observers than victims.     

The development of service quality dimensions for internet service providers: Retaining customers of different usage patterns

This study examines the relationships among relevant service quality dimensions of Internet service providers (ISP) and their customers’ perceived value, trust and commitment. Data was collected from residential Internet users in Thailand. The final usable sample size was 1507. The analyses include segmenting ISPs’ customers on the basis of their usage pattern and evaluating their perceptions of Internet service quality dimensions. In addition, several alternatives models were compared using structural equation modelling to confirm the mediation effects. An ISP’s service quality is influenced by the following four dimensions (a) network quality, (b) customer service and technical support, (c) information quality and (d) security and privacy. The findings reveal that while all dimensions have positive effects on trust, only network quality, information support and privacy influence customer value significantly and information support is the only dimension which is directly related to commitment. Additionally, the effects of customer service and information support on value vary across customers of different Internet usage patterns. The contribution of the present paper stems from the simultaneous modelling of a range of mediation effects which can better help explain the impact of service quality dimensions on customers’ cognitive and affective evaluations in high-tech service settings.     

基于入住经历的高星级酒店吸引力要素研究——以扬州为例

通过对扬州市高星级酒店的住客进行的问卷调查及对酒店相关人员的访谈,反映出初次入住酒店的顾客和入住经历两次或两次以上的顾客对酒店的吸引力要素存在感知差异。这些要素包括清洁度、位置、房价、安全、服务质量、酒店声誉、个性化(卓越)服务或设计、酒店文化氛围等方面。再结合IPA的分析方法得出结论:高星级酒店可以将顾客入住经历作为市场细分的一个依据。对于初次入住酒店的顾客可以在环境、服务质量和酒店声誉上下功夫;另外要留住顾客,提高其忠诚度,酒店就必须对酒店产品科学定价,酒店整体的设计上融入地域性的文化因素,在规范化服务的基础上追求个性化的卓越服务。     

An empirical analysis of online shopping adoption in Beijing,China

The Internet is a global communication medium that is increasingly being used worldwide as an innovative tool for marketing goods and services. At the end of 2010, Internet users in China reached 420 million. However, online shopping in China is not widely practiced and organisations investing in B2C online shopping need to understand the factors that affect Chinese consumers′ online buying behaviour. This research develops a theoretical research model as a framework to identify the key decision factors influencing Chinese consumers′ to shop, or not to shop online. A self-administered questionnaire was used to gather information from 435 respondents in Beijing, China. The empirical analysis identifies and ranks seven important decision factors: perceived risk, consumer resources, service quality, subjective norms, product variety, convenience, and website factors. All of these decision factors impact on Chinese consumers′ adoption of online shopping. Moreover, managerial implications and recommendations are also presented.