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Abstract

Based on text mining, this study explored topics in the research domain of knowledge organization. A text corpus consisting of titles and abstracts was generated from 282 articles of the Knowledge Organization journal for the recent ten years from 2006 to 2015. Term frequency analysis and Latent Dirichlet allocation topic modeling were employed to analyze the collected corpus. Topic modeling uncovered twenty research topics prevailing in the knowledge organization field, including theories and epistemology, classification scheme, domain analysis and ontology, digital archiving, document indexing and retrieval, taxonomy and thesaurus system, metadata and controlled vocabulary, ethical issues, and others. In addition, topic trends over the tenyears were examined to identify topics that attracted more discussion in the journal. The top two topics that received increased attention recently were "ethical issues in knowledge organization" and "domain analysis and ontologies." This study yields insight into a better understanding of the research domain of knowledge organization. Moreover, text mining approaches introduced in this study have methodological implications for domain analysis in knowledge organization.

Source

Knowledge organization. 45(2018) no.2, S.170-183

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Abstract

Twitter has emerged as a popular source of sharing and delivering news information. In tweet messages, URLs to web resources and hashtags are often included. This study investigates the potential of the hyperlinks and hashtags as topical clues and indicators to tweet messages. For this study, we crawled and analyzed about 1.5 million tweets for a 3-month period covering any topic or subject. The findings of this study revealed a power law relationship for the ranking and frequency of (a) the host names of URLs, and (b) a pair of hashtags and URLs that appeared in the tweet messages. This study also discovered that the most popular URLs used in tweets come from news and media websites, and a majority of the hyperlinked resources are news web pages. One implication of this study is that Twitter users are becoming more active in sharing already published information than producing new information. Finally, our investigation on hashtags for web resource indexing reveals that hashtags have the potential to be used as indexing terms for co-occurring URLs in the same tweet. We also discuss the implications of this study for web resource recommendation.

Source

Journal of the Association for Information Science and Technology. 67(2016) no.8, S.1808-1821

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Abstract

With the increasing use of information systems (IS) in our everyday lives, people may feel an attachment to their software applications beyond simply perceiving them as a tool for enhancing task performance. However, attachment is still a largely unexplored concept in both IS research and practice. Drawing from the literature on attachment in consumer behavior research and auxiliary theories in IS use and community participation research, this study theoretically identifies and empirically explores the concept of attachment and its antecedents (i.e., relative visual aesthetics, personalization, relative performance) and outcome (i.e., community participation intention) in the IS context. Using web browsers as the target IS, an online survey was conducted. Results show that relative expressive visual aesthetics is the strongest antecedent of IS attachment, and that personalization is the second strongest antecedent of IS attachment, followed by relative performance. Furthermore, this study reveals that IS attachment has a strong positive impact on community participation intention. This study contributes theoretically and empirically to the body of IS use research and has managerial implications, suggesting that although superior performance is a necessary condition for attachment formation, improving users' experience through expressive visual aesthetics and personalization is critical to build strong attachment relationships with users.

Source

Journal of the American Society for Information Science and Technology. 64(2013) no.11, S.2354-2365

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Abstract

Little is known about what factors influence users' continued use of social cataloging sites. This study therefore examines the impacts of key factors from theories of information systems (IS) success and sense of community (SOC) on users' continuance intention in the social cataloging context. Data collected from an online survey of 323 social cataloging users provide empirical support for the research model. The findings indicate that both information quality (IQ) and system quality (SQ) are significant predictors of satisfaction and SOC, which in turn lead to users' intentions to continue using these sites. In addition, SOC was found to affect continuance intention not only directly, but also indirectly through satisfaction. Theoretically, this study draws attention to a largely unexplored but essential area of research in the social cataloging literature and provides a fundamental basis to understand the determinants of continued social cataloging usage. From a managerial perspective, the findings suggest that social cataloging service providers should constantly focus their efforts on the quality control of their contents and system, and the enhancement of SOC among their users.

Source

Journal of the Association for Information Science and Technology. 67(2016) no.12, S.3022-3035