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Kim, J.: Describing and predicting information-seeking behavior on the Web (2009)
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- Date
- 22. 3.2009 18:54:15
- Language
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Yakel, E.; Kim, J.: Adoption and diffusion of Encoded Archival Description (2005)
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- Abstract
- In this article, findings from a study an the diffusion and adoption of Encoded Archival Description (EAD) within the U.S. archival community are reported. Using E. M. Rogers' (1995) theory of the diffusion of innovations as a theoretical framework, the authors surveyed 399 archives and manuscript repositories that sent participants to EAD workshops from 1993-2002. Their findings indicated that EAD diffusion and adoption are complex phenomena. While the diffusion pattern mirrored that of MAchine-Readable Cataloging (MARC), overall adoption was slow. Only 42% of the survey respondents utilized EAD in their descriptive programs. Critical factors inhibiting adoption include the small staff size of many repositories, the lack of standardization in archival descriptive practices, a multiplicity of existing archival access tools, insufficient institutional infrastructure, and difficulty in maintaining expertise.
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Kim, J.: Faculty self-archiving : motivations and barriers (2010)
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- Abstract
- This study investigated factors that motivate or impede faculty participation in self-archiving practices-the placement of research work in various open access (OA) venues, ranging from personal Web pages to OA archives. The author's research design involves triangulation of survey and interview data from 17 Carnegie doctorate universities with DSpace institutional repositories. The analysis of survey responses from 684 professors and 41 telephone interviews identified seven significant factors: (a) altruism-the idea of providing OA benefits for users; (b) perceived self-archiving culture; (c) copyright concerns; (d) technical skills; (e) age; (f) perception of no harmful impact of self-archiving on tenure and promotion; and (g) concerns about additional time and effort. The factors are listed in descending order of their effect size. Age, copyright concerns, and additional time and effort are negatively associated with self-archiving, whereas remaining factors are positively related to it. Faculty are motivated by OA advantages to users, disciplinary norms, and no negative influence on academic reward. However, barriers to self-archiving-concerns about copyright, extra time and effort, technical ability, and age-imply that the provision of services to assist faculty with copyright management, and with technical and logistical issues, could encourage higher rates of self-archiving.
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Kang, I.-S.; Na, S.-H.; Kim, J.; Lee, J.-H.: Cluster-based patent retrieval (2007)
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Kim, J.; Thomas, P.; Sankaranarayana, R.; Gedeon, T.; Yoon, H.-J.: Eye-tracking analysis of user behavior and performance in web search on large and small screens (2015)
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Kim, J.; Diesner, J.: Coauthorship networks : a directed network approach considering the order and number of coauthors (2015)
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Kim, J.; Diesner, J.: Distortive effects of initial-based name disambiguation on measurements of large-scale coauthorship networks (2016)
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Kim, J.; Thomas, P.; Sankaranarayana, R.; Gedeon, T.; Yoon, H.-J.: Understanding eye movements on mobile devices for better presentation of search results (2016)
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Kim, J.: Author-based analysis of conference versus journal publication in computer science (2019)
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Kim, J.: Scale-free collaboration networks : an author name disambiguation perspective (2019)
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Kim, J.; Kim, J.; Owen-Smith, J.: Ethnicity-based name partitioning for author name disambiguation using supervised machine learning (2021)
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Walsh, J.A.; Cobb, P.J.; Fremery, W. de; Golub, K.; Keah, H.; Kim, J.; Kiplang'at, J.; Liu, Y.-H.; Mahony, S.; Oh, S.G.; Sula, C.A.; Underwood, T.; Wang, X.: Digital humanities in the iSchool (2022)
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