Search (11 results, page 1 of 1)

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Abstract

Information scattering is an often observed phenomenon related to information collections where there are a few sources that have many items of relevant information about a topic, while most sources have only a few. This entry discusses the original discovery of the phenomenon, the types of information scattering observed across many different information collections, methods that have been used to analyze the phenomenon, explanations for why and how information scattering occurs, and how these results have informed the design of systems and search strategies. The entry concludes with future challenges related to building computational models to more precisely describe the process of information scatter, and algorithms which help users to gather highly scattered information.

Source

Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates

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Abstract

In this study, we attempt to evaluate the performance of the World Wide Web as an information resource in the domain of international travel. The theoretical framework underpinning our approach recognizes the contribution of models of information seeking behavior and of information systems in explaining World Wide Web usage as an information resource. Specifically, a model integrating the construct of uncertainty in information seeking and the task-technology fit model is presented. To test the integrated model, 217 travelers participated in a questionnaire-based empirical study. Our results confirm that richer (or enhanced) models are required to evaluate the broad context of World Wide Web (the Web) usage as an information resource. Use of the Web for travel tasks, for uncertainty reduction, as an information resource, and for mediation all have a significant impact an users' perception of performance, explaining 46% of the variance. Additionally, our study contributes to the testing and validation of metrics for use of the Web as an information resource in a specific domain.

Source

Journal of the American Society for Information Science and Technology. 55(2004) no.8, S.731-742

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Abstract

Various mathematical tools and theories have found application in Library and Information Science (LIS). One of these is Fuzzy Set Theory (FST). FST is a generalization of classical Set Theory, designed to better model situations where membership of a set is not discrete but is "fuzzy." The theory dates from 1965, when Lotfi Zadeh published his seminal paper on the topic. As well as mathematical developments and extensions of the theory itself, there have been many applications of FST to such diverse areas as medical diagnoses and washing machines. The theory has also found application in a number of aspects of LIS. Information Retrieval (IR) is one area where FST can prove useful; this paper reviews IR applications of FST. Another major area of Information Science in which FST has found application is Informetrics; these studies are also reviewed. A few examples of the use of this theory in non-LIS domains are also examined.

Footnote

Artikel in einem Themenheft "Current theory in library and information science"

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Abstract

Increasingly, e-books are becoming alternatives to print books in academic libraries, thus providing opportunities to assess how well the use of e-books meets the requirements of academics. This study uses the task-technology fit (TTF) model to explore the interrelationships of e-books, the affordances offered by smart readers, the information needs of academics, and the "fit" of technology to tasks as well as performance. We propose that the adoption of e-books will be dependent on how academics perceive the fit of this new medium to the tasks they undertake as well as what added-value functionality is delivered by the information technology that delivers the content. The study used content analysis and an online survey, administered to the faculty in Medicine, Science and Engineering at the University of New South Wales, to identify the attributes of a TTF construct of e-books in academic settings. Using exploratory factor analysis, preliminary findings confirmed annotation, navigation, and output as the core dimensions of the TTF construct. The results of confirmatory factor analysis using partial least squares path modeling supported the overall TTF model in reflecting significant positive impact of task, technology, and individual characteristics on TTF for e-books in academic settings; it also confirmed significant positive impact of TTF on individuals' performance and use, and impact of using e-books on individual performance. Our research makes two contributions: the development of an e-book TTF construct and the testing of that construct in a model validating the efficacy of the TTF framework in measuring perceived fit of e-books to academic tasks.

Source

Journal of the American Society for Information Science and Technology. 64(2013) no.1, S.48-64

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Source

Journal of the American Society for Information Science and Technology. 56(2005) no.9, S.1004-1007

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Source

Information processing and management. 30(1994) no.3, S.327-342

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Source

Journal of the American Society for Information Science and technology. 52(2001) no.14, S.1242-1254

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Source

Journal of the American Society for Information Science and technology. 54(2003) no.12, S.1091-1103

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Source

Journal of the American Society for Information Science and Technology. 59(2008) no.9, S.1393-1408

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Source

Information processing and management. 44(2008) no.4, S.1503-1516

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Source

Journal of the American Society for Information Science and Technology. 60(2009) no.6, S.1083-1096