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Due to the development of Information and Communication Technologies, the scenario has changed in modern library services such as access to electronic or digital collections, web portals, personalized services, online library instruction, e-reference service, online document delivery, helpdesk services and electronic publishing. Today many university libraries in India offer electronic information resources to their users in order to satisfy their information needs. Managing the development and delivery of electronic library services is one of the major challenges for these libraries. The University libraries in Odisha state which is situated at the eastern part of India gradually transformed their traditional library services to e-services. Thus, it is important to understand and conceptualize library service quality in the web-based service environment and how it can be accessed. In this chapter, E-S-QUAL model is adopted to identify the criteria to assess the service quality of library website of Siksha ‘O’ Anusandhan (SOA) University located in Bhubaneswar city of Odisha from the research scholars’ viewpoints. The purpose of this study is to investigate the effects of E-S-QUAL dimensions such as efficiency, system availability, fulfillment and privacy on user’s perceived value, e-service quality and e-loyalty that influence the digital library services. With an empirical data set including 350 valid questionnaires collected through online survey from the research scholars of SOA community, the result provides a foundation for better understanding research scholars’ perceptions on e-service quality for libraries. This information is also useful to universities’ libraries website designers and service providers and in the management of web-based services.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

Identifying the dimensionality of a construct and selecting appropriate items for measuring the dimensions are important elements of marketing scale development. Scales for measuring marketing constructs such as service quality, brand equity, and marketing orientation have typically been developed using the influential classical test theory paradigm (Churchill, 1979), or some variant thereof. Users of the paradigm typically assume, albeit implicitly, that items and respondents are the only sources of variance and respondents are the objects of measurement. Yet, marketers need scales for other important managerial purposes, such as benchmarking, tracking, and perceptual mapping, each of which requires a scaling of objects other than respondents such as products, brands, retail stores, websites, firms, advertisements, or social media content. Scales that are developed without such objects in mind might not perform as expected. Finn and Kayande (2005) proposed a multivariate multiple objective random effects methodology (referred to here as M-MORE) could be used to identify construct dimensionality and select appropriate items for multiple objects of measurement. This chapter applies M-MORE to multivariate generalizability theory data collected to assess online retailer websites in the early 2000s to identify the dimensionality of and to select appropriate items for scaling website quality. The results are compared with those produced by traditional methods.

Quality, an abstract concept, requires concrete definition in order to be actionable. This chapter moves the quality discussion from the theoretical to the workplace, building steps needed to manage quality issues.

The chapter reviews general data studies, web quality studies, and metadata quality studies to identify and define dimensions of data quality and quantitative measures for each concept. The chapter reviews preferred communication methods which make findings meaningful to administrators.

The chapter describes how quality dimensions are practically applied. It suggests criteria necessary to identify high priority populations, and resources in core subject areas or formats, as quality does not have to be completely uniform. The author emphasizes examining the information environment, documenting practice, and developing measurement standards. The author stresses that quality procedures must rapidly evolve to reflect local expectations, the local information environment, technology capabilities, and national standards.

This chapter combines theory with practical application. It stresses the importance of metadata and recognizes quality as a cyclical process which balances the necessity of national standards, the needs of the user, and the work realities of the metadata staff. This chapter identifies decision points, outlines future action, and explains communication options.

Washington's Statewide Virtual Reference (VRS) Project began in 2001, following some early adapters, but also at a time when most libraries and states still were considering the merits, possibilities, and pitfalls of the service. This chapter follows the development and implementation of a virtual reference (VR) service, along with support activities such as training, marketing, and assessment, in several collaborative library alliances across Washington State; describes unexpected opportunities, and plans for future sustainability. It ends with an analysis of experiences, successes, and failures, along with plans for the future based on the many things that were learned.

The internet is rapidly becoming the main channel for seeking and booking travel services. The consequent human–interface interactions are now the focal point of many studies being conducted by both scholars and practitioners. The development of websites involves many design choices, such as background, colors, fonts, and different ways of presenting information. The study here argues that these seemingly “trivial” design choices may have nontrivial effects on customers’ behavior. The study presents three empirical examples supporting this idea. The first example refers to the presentation of hotels as items on a list on websites, which creates a “mere position” effect. The second example shows that different partitioning of an attribute’s values can impact their relative importance. The third example shows that background features (color, picture) may result in priming effects. In all cases, the seemingly trivial changes in design directly alter customers’ choices although, rationally, they should have no impact at all.

The following is an introductory profile of the fastest growing firms over the three-year period of the study listed by corporate reputation ranking order. The business activities in which the firms are engaged are outlined to provide background information for the reader.

This chapter examines the relationship between health service restructuring and the health care experiences of women from rural and remote areas of Canada. Data were collected from 34 focus groups (237 women), 15 telephone interviews and 346 responses from an online survey. Access to services, care quality and satisfaction are salient themes in these data. Problems include: travel, shortage of providers, turnover in personnel, delays associated in accessing care, lack of knowledge of women's health issues and patronizing attitudes of some health care providers. Health care service restructuring has led to deterioration in service availability and quality. Key areas for policy development need to address health care access and quality improvement issues, including increasing access to more (particularly female) providers who are sensitive to women's health issues.