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The purpose of this paper is to develop and validate a multidimensional hierarchical scale for measuring “e-service quality variation.”

Based on the psychometric scale-development approach, qualitative and quantitative methods were employed to develop the e-SERVAR scale. A multidimensional hierarchical factor structure of e-SERVAR is proposed, along with a set of preliminary items derived from literature and the qualitative study. Furthermore, the Yahoo website in Taiwan was chosen to be the target e-service website for data collection to develop the e-SERVAR scale. A series of statistical methods (i.e. item-to-total correlations, exploratory factor analyses, CFAs and structural equation modeling) were adopted to verify construct reliability and validity as well as nomological validity of the scale.

A 41-item e-SERVAR scale based on the structure of a hierarchical factor model was developed that contains three primary dimensions (i.e. information, system and fulfillment) and nine subdimensions (information accuracy, information quantity, information timeliness, information usefulness, system reliability, system security, merchandise quality, merchandise delivery timeliness and merchandise security).

The results of this study help managers identify sources of quality variability and design efficacious strategies to reduce such variability in order to improve the overall e-service quality.

Prior research of e-service quality has paid less attention to the role of e-service quality variability. Discussion of e-service quality variability was mainly conceptual in nature. This research presents the e-SERVAR scale as a measurement tool that provides a new avenue for researchers to study how to improve e-service quality by measuring service variability.

The purpose of this paper is to explore the quality factors influencing customer satisfaction in the electronic commerce (e-commerce) context using a triadic view of customer-e-retailer-third-party logistics provider, and to investigate the impacts of service quality on customer satisfaction and loyalty in the e-retailing supply chain.

A literature review is used to determine the conceptual model and develop the measurement scales. Data are collected through a web survey mainly conducted in China. Structural equation modeling is used to analyze the collected data and test the research hypotheses.

The results verify the proposed service quality framework, consisting of two dimensions (electronic service (e-service) quality and logistics service quality), in the e-commerce context. The results indicate that e-service quality and logistics service quality are strongly linked to customer satisfaction; that is, with e-service and logistics service, respectively. e-Service quality positively impacts customer satisfaction with logistics services, but logistics service quality negatively impacts customer satisfaction with e-services. Moreover, customer satisfaction with e-services is positively associated with customer loyalty for both e-services and logistics services. However, customer satisfaction with logistics services has no direct impact on related customer loyalty, and negatively impacts customer loyalty with e-services.

The survey focusses only on China; future data should verify whether different cultural backgrounds will impact the research results.

The results show that e-retailers should not only focus on e-service quality, but also logistics service quality, which is critical to the success of e-commerce.

A two-dimensional (e-service and logistics) service quality framework is proposed and empirically assessed in the context of the e-retailing supply chain. These impacts of the path of service quality on customer satisfaction and loyalty are highlighted.

The purpose of this paper is to investigate factors affecting e-banking usage based on electronic service (e-service) quality, attitude and customer satisfaction.

A conceptual model to investigate factors that influence e-banking usage was developed based on review of existing literature. The model employed e-services quality variable, diffusion of innovation construct and self-efficacy to better reflect the users’ views of e-banking usage. Data collected from 254 e-banking users were used to test the model. The data were analysed based on PLS-SEM using SmartPLS 3.0.

The result reveals that perceived e-service quality has a strong influence on customer satisfaction and use of e-banking, which means that greater quality of e-service has the potential to increase satisfaction and consequently result in to more use of e-banking. In this research findings, competence of e-service support staff, system availability, service portfolio, responsiveness and reliability, in that order, were found to be most significant in rating e-service quality.

This offers financial institutions and professional relevant information e-banking services that will promote greater customer satisfaction and use of e-banking.

This paper contributes to knowledge advancement in bank marketing by providing insight into motivational factors of e-banking services quality and personal characteristics.

Providing high service quality is a necessary but insufficient criterion for success. Service quality must be sustained longitudinally. The purpose of this paper is to propose a sustainable e-service quality model by presenting results from a mixed-method study conducted in the Republic of Macedonia’s banking industry. Sustainable e-service quality is the ability to deliver services continually with sustainable high quality, and the ability to manage and maintain customer satisfaction and loyalty. The authors scrutinized sustainable quality from an e-services perspective.

Based on interview data, a theoretical model is developed. The model is examined empirically using exploratory factor analysis and structural equation modeling. As a sample, the authors chose one bank, with internal, e-services customers as a unit of analysis.

Results support a sustainable e-service quality model, confirming that it captures the effect of the internal domain (i.e. quality management system, business/ICT alignment, ICT capabilities, ICT service climate, and e-service quality), and predicts the external domain (satisfaction and loyalty).

This study was conducted in one bank that is among the best in the country. This limitation implies a need for validation across varying contexts, markets, and countries.

Practitioners can deploy the model as a diagnostic tool for organizational root-cause analysis of reduced performance and decreased customer satisfaction. The model answers a question regarding unfulfilled expectations of many companies that implement quality management systems: Why did the system fail to improve organizational performance or service quality?

The result of this research is a sustainable e-service quality model. The model highlights relationships among factors, and provides a research foundation for elaboration in other contexts.

The purpose of this paper is to develop a multiple item scale for measuring perceived quality in e-service provided by a university.

The authors used a two-step methodology: a qualitative part to identify relevant dimensions and indicators in e-service and a numerical survey to assess preferences and evaluations of 252 users, regarding indicators of e-service quality, as well as a global degree of satisfaction with the overall e-service. Multivariate and structural techniques helped extracting guidelines for improving perceived quality.

The authors refined a scale by factor analysis, remaining five dimensions and 15 items. The five dimensions are: trust, convenience, responsivity, empathy and personalization. The authors found out that trust, responsivity and empathy, at a 0.01 level, are directly related with the overall satisfaction with e-service.

Specific results are not generalizable to others universities, but the method can be replicated in others e-service providers. For continuity, the authors recommend multicriterial methods for prioritizing indicators. For confirmatory analysis, the authors suggest a new survey with a larger sample, aggregating new indicators by more qualitative research.

The method can help universities to evaluate and eventually reformulate their strategies in dealing with e-services users.

The paper helps clarify how to structure and organize indicators related to e-service perceived quality and how to identify those activities that can help managers to improve it.

The purpose of this paper is to examine the dimensions of e-service quality, its effects on e-satisfaction and e-trust and its impact on behavioural and attitudinal loyalty in Jordanian youth users of online retailing.

The scale proposed in this study has been specifically constructed using the four models most recognised for measuring e-service quality: E-S-QUAL, WebQual, eTransQual and eTailQ. The dimensions used in this study are efficiency, privacy, reliability, emotional benefit and customer service. The research model was statistically tested by students in Jordan, using Amazon.com.

It is found that privacy, reliability, emotional benefit and customer service are important elements to measure the e-service quality, but efficiency is not. E-trust was found to be an antecedent of e-satisfaction, and behavioural loyalty an antecedent of attitudinal loyalty.

The contribution of this study is thus the investigation of the causal relationship between the e-service quality dimensions, e-satisfaction, e-trust, behavioural loyalty and attitudinal loyalty, where it is necessary to consider the subject in more depth and to examine e-service quality dimensions based on a proposed model constructed from the four most common models.

The purpose of this paper is to empirically test a research model of consumer consequences of e‐service quality (e‐SQ) perceptions of general web site users.

The dimensions of e‐SQ are extracted and validated through exploratory and confirmatory factor analysis. The uni‐dimensional model of e‐SQ, consisting of web site attributes of ease of access, flexibility, and reliability, is then tested by structural equation modelling using AMOS 4.0 for its linkages with e‐satisfaction (e‐SAT), perceived value, and e‐loyalty‐linked behavioral intentions, i.e. repurchase and recommendation intentions.

It was found that e‐SQ is a direct antecedent of perceived value, perceived value in turn significantly affects e‐loyalty‐related consumer intentions of repurchase and positive recommendations. e‐SAT is a direct antecedent of positive recommendation intentions. However, e‐SQ was not found to have any consequential relationship with e‐SAT or direct links with behavioral intentions of e‐loyalty.

The proposed model is empirically validated with self‐selected participants and therefore the results need to be further supported through replication with varied consumer and cultural contexts.

The model of e‐SQ and its consequences would help practitioners frame marketing strategies for web sites of e‐services, which are content rich in India, to enhance consumer loyalty and other favorable behavioral intentions.

The multi‐variate comprehensive model of e‐SQ and its consequences has not been tested earlier in the e‐services context. The research extends the modelling of service quality and its consequences into the e‐services context.

This empirical study aims to measure the performance of electronic service quality and related infrastructure in a state university library and suggests the strategies for further improvement based on this study.

The data collection was done through a survey questionnaire based on the 22 attributes of four e-Service quality dimensions rated on five-point Likert scale. The sample population consisted of 239 respondents comprising of different categories of users of university library.

The results of this study indicated that all four dimensions rated by the users fell between mean score 3 to 4 (good), the highest score was received in dimension online public access catalogue (OPAC) and internet service with followed by Library website, Library electronic equipment’s and e-User education. Out of total 22 e-Service quality attributes, none of the attributes received score above 4 (excellent), which indicates that still university library need to improve the current performance of e-Service quality and to take remedial steps to enhance the existing e-services and infrastructure.

Findings from this study could assist university library authority to sustain and enhance performance of e-Services that could achieve the core journey of the modern university libraries.

This study was the first endeavour for measurement of the performance of e-Service quality and related infrastructure of federal university libraries in India.

The purpose of this study is to draw on expectancy disconfirmation theory (EDT) to explore e‐service quality and the factors influencing an individual's loyalty intention towards online auctions.

The authors conducted an empirical study and data were collected from a total of 619 bidders in online auctions. A structural equation modeling (SEM) is used to assess the relationships of the research model.

The findings show that e‐service quality dimensions including efficiency, privacy protection, contact, fulfillment, and responsiveness have statistically significant influences on buyer's disconfirmation. Besides, buyers' disconfirmation of online auctions is positively associated with their satisfaction, and their satisfaction is positively associated with loyalty intentions.

The auctioneer should focus on purchase efficiency and protect the buyer's privacy. The seller should actively make contact with the buyer, fulfill order delivery, and respond to problems. Thus, the performances of auctioneer and seller are the true reassurance to buyers.

This study, which aims to shed light on e‐service quality in online auctions, is the first study that has applied an EDT‐based model to investigate the determinants of buyer's loyalty intention in online auctions.

The purpose of this study is to classify and assess the importance levels of the quality attributes of E‐S‐QUAL measurement scale, aiming to focus on the most important attributes to improve.

E‐S‐QUAL measurement scale is classified according to Kano's model and the relative importance levels of the E‐S‐QUAL quality attributes are revealed via analytical hierarchy process (AHP). The data of the study were gathered through a questionnaire, which consisted of four parts and was applied to 202 online shoppers in Izmir/Turkey.

Almost all of the quality attributes are placed under one‐dimensional category. Privacy dimension is found to be a high value‐added attribute, whereas the least important attributes are found to be within the efficiency dimension. None of the quality attributes of E‐S‐QUAL are regarded as attractive attributes.

This study is expected to attract the attention of practitioners on the most important quality attributes that affect customer satisfaction, which will help them reduce the time‐consuming and heavy efforts on improving the e‐service quality attributes that would not matter to the customers. The authors hold that the proposed evaluation of e‐service quality measurement scales, in general, provides an effective and operational procedure to assess customer perception toward the quality of online service; so that firms can achieve higher levels of customer satisfaction through increasing the level of quality of their online services

This study is expected to contribute to the literature, as being the primary study focusing on the classification of E‐S‐QUAL quality attributes through Kano's Model by determining the relative importance levels via AHP.