Purpose This paper aims to explore the switching intention and behaviour of cloud storage services (CSS) individual users in China by integrating the variables of switching cost and habit into the expectation disconfirmation theory. Design/methodology/approach Based on 419 valid responses, structural equation modelling was used to examine the research model. Findings The results indicated that perceived usefulness and expectation disconfirmation have a positive and negative effect on user satisfaction, respectively. While expectation disconfirmation has a negative impact on perceived usefulness, user satisfaction positively affects users’ habit and switching cost. At the same time, switching intention is affected significantly and negatively by perceived usefulness, user satisfaction, as well as switching cost, where in switching intention and habit can commendably predict switching behaviour. The results can guide for CSS providers on how to successfully retain users in the competitive CSS market. Originality/value Previous researches have investigated the effects of perceived usefulness, switching cost and user traits on CSS adoption and continuance intention, as well as behaviour; they neglected the antecedents of switching cost and the effect of user habit on them. Additionally, relatively few studies have been devoted to an empirical examination of the switching behaviour from a particular CSS product to its rival products at the individual user level. This research tries to fill these gaps.

No abstract

Purpose – Increasingly, higher education institutions worldwide are accepting only electronic versions of their students’ theses and dissertations. These electronic theses and dissertations (ETDs) frequently feature embedded URLs in body, footnote and references section of the document. Additionally the web as ETD subject appears to be on an upward trajectory as the web becomes an increasingly important part of everyday life. The paper aims to discuss these issues. Design/methodology/approach – The authors analyzed URL references in 4,335 ETDs in the UNT ETD collection. Links were extracted from the full-text documents, cleaned and canonicalized, deconstructed in the subparts of a URL and then indexed with the full-text indexer Solr. Queries to aggregate and generate overall statistics and trends were generated against the Solr index. The resulting data were analyzed for patterns and trends within a variety of groupings. Findings – ETDs at the University of North Texas that include URL references have increased over the past 14 years from 23 percent in 1999 to 80 percent in 2012. URLs are being included into ETDs in the majority of cases: 62 percent of the publications analyzed in this work contained URLs. Originality/value – This research establishes that web resources are being widely cited in UNT's ETDs and that growth in citing these resources has been observed. Further it provides a preliminary framework for technical methods appropriate for approaching analysis of similar data that may be applicable to other sets of documents or subject areas.

No abstract

One way to facilitate Multilingual Information Access (MLIA) for digital libraries is to generate multilingual metadata records by applying Machine Translation (MT) techniques. Current online MT services are available and affordable, but are not always effective for creating multilingual metadata records. In this study, we implemented 3 different MT strategies and evaluated their performance when translating English metadata records to Chinese and Spanish. These strategies included combining MT results from 3 online MT systems (Google, Bing, and Yahoo!) with and without additional linguistic resources, such as manually-generated parallel corpora, and metadata records in the two target languages obtained from international partners. The opensource statistical MT platform Moses was applied to design and implement the three translation strategies. Human evaluation of the MT results using adequacy and fluency demonstrated that two of the strategies produced higher quality translations than individual online MT systems for both languages. Especially, adding small, manuallygenerated parallel corpora of metadata records significantly improved translation performance. Our study suggested an effective and efficient MT approach for providing multilingual services for digital collections.