Purpose – The purpose of this paper is to understand customers' repurchase intentions in online shopping. This study extends the technology acceptance model (TAM) by introducing e-service quality dimensions, trust and enjoyment in the development of a theoretical model to study customers' repurchase intentions within the context of online shopping. Design/methodology/approach – Data collected from 360 PCHome online shopping customers provides strong support for the proposed research model. PLS (partial least squares, PLS-Graph version 3.0) is used to analyse the measurement and structural models. Findings – The study shows that trust, perceived ease of use, perceived usefulness and enjoyment are significant positive predictors of customers' repurchase intentions. Research limitations/implications – The data are collected from a single online shopping store – the generalisation of the model and findings to other online stores requires additional research. Our findings imply that the five dimensions of e-service quality are possibly among the most important antecedents of customers' trust in online vendors. Practical implications – Online vendors should ensure that they provide adequate utilitarian and hedonic value for customers instead of focusing on just one of these aspects in their web site development. Originality/value – Customer loyalty is critical to the online vendor's survival and success. The study provides evidence that online trust is built through order fulfilment, privacy, responsiveness and contact.

Employee satisfaction and loyalty had been verified to be critical to a service-oriented organisation's survival and success. Previous research also established the importance of total quality management practices in building operational performance and customer satisfaction. This study integrates total quality management practices by introducing employee training, employee empowerment, teamwork, employee compensation, and management leadership into a theoretical model for studying employee satisfaction and loyalty within the context of government. The results of this study show that employee empowerment, employee compensation, teamwork and management leadership are significant positive predictors of employee satisfaction; and employee loyalty can be enhanced through employee satisfaction.

Students acquire skills in problem solving and critical thinking through the process as well as team work on problem-based learning courses. Many courses have started to involve the online learning environment and integrate these courses with electronic resources. Teachers use electronic resources in their classes. To overcome the problem of the limited teaching resources, electronic resources can help students to engage in self-learning more easily. This study addresses electronic resources usage in problem-based learning. Therefore, the aim of this article is to investigate the relationship between the capability to use electronic resources and problem-based learning performance. A quantitative analysis was conducted through the structural equation modeling approach in order to indicate the direction and relationship between these constructs. To conclude, this study suggests that tutor support, peer participation, and internet search capability should be conceptualized as forming part of an important learning context. Further, the results indicate that both peer participation and internet search capability are required to facilitate the development of problem-solving skills.

Purpose – Knowledge sharing intention and group identity are the keys to improving library service quality. The purpose of this paper is to integrate work design questionnaire and affective events theory to understand the relationship between task characteristics and knowledge sharing quality in the context of the library. Design/methodology/approach – Data collected from 204 professional librarians in various libraries provide strong support for the proposed research model. A structural equation modelling analysis was performed using LISREL. The adequacy of the measurement model was evaluated on the criteria of reliability, convergent validity and discriminant validity. Findings – The paper shows that sharing intention and group identity have important effects on knowledge quality. Task characteristics, such as work methods, task variety and social feedback, have strong effects on group identity. Research limitations/implications – The findings imply that only work methods and social feedback have strong effects on knowledge sharing intention. Originality/value – The motivation to share librarians' knowledge is critical to successful library service. The paper provides evidence that knowledge quality is built through work methods, task variety and social feedback. Implications for theory and practice and suggestions for future research are discussed.

Purpose: The purpose of this paper is to explore the data connection, spatial distribution characteristics and trends in genealogical information. First, it implements a spatial-temporal visualization of the Hakka genealogical information system that makes these individual family pedigree charts appear as one seamless genealogy to family and researchers seeking connections and family history all over the world. Second, this study applies migration analysis by applying big data technologies to Hakka genealogies to investigate the migration patterns of the Hakka ethnic group in Taiwan between 1954 and 2014. This innovative library service enhances the Hakka genealogical migration analysis using big data. Design/methodology/approach: The platform is designed for the exchange of genealogical data to be used in big data analysis. This study integrates big data and geographic information systems (GIS) to map the population distribution themes. The general procedure included collecting genealogical big data, geographic encoding, gathering the map information, GIS layer integration and migration map production. Findings: The analytical results demonstrate that big data technology is highly appropriate for family migration history analysis, given the increasing volume, velocity and variety of genealogical data. The spatial-temporal visualization of the genealogical research platform can follow family history and migration paths, and dynamically generate roadmaps to simplify the cartographic steps. Practical implications: Technology that combines big data and GIS is suitable for performing migration analysis based on genealogy. A web-based application for spatial-temporal genealogical information also demonstrates the contribution of innovative library services. Social implications: Big data play a dominant role in library services, and in turn, provide an active library service. These findings indicate that big data technology can provide a suitable tool for improving library services. Originality/value: Online genealogy and family trees are linked with large-volume, growing data sets that are complex and have multiple, autonomous sources. The migration analysis using big data has the potential to help genealogy researchers to construct minority ethnic history.