PurposeThe 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/approachData 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.FindingsThe study shows that trust, perceived ease of use, perceived usefulness and enjoyment are significant positive predictors of customers' repurchase intentions.Research limitations/implicationsThe 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 implicationsOnline 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/valueCustomer 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.
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.
Traveling in a Hakka village, the tourist can feel the culture of the Hakka in Taiwan and see traditional drama, artwork, handicrafts, and foods. The current trend in tourism planning is to incorporate online word of mouth into route design. This paper aims to examine common characteristics of Hakka village tourism development, identifying the need for planning and offering a model of the directions planning might take. It begins with big data collection of the online service and combines that with social network analysis. The results indicated that tourism planning with user's online search strategy will provide a better and more precise tour service. It is suggested that the government should set up the tour service center at the location identified as being in the structural hole of the tourism network. As cultural tourism continues to expand, big data applications will offer new opportunities and challenges to tourism planning.
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