Search (11 results, page 1 of 1)

  • × author_ss:"Wang, J."
  1. Shen, R.; Wang, J.; Fox, E.A.: ¬A Lightweight Protocol between Digital Libraries and Visualization Systems (2002) 0.01
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:15:14
  2. Wang, J.; Guan, J.: ¬The analysis and evaluation of knowledge efficiency in research groups (2005) 0.01
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    Abstract
    To study the knowledge creation process, we introduce a conceptual framework that captures the major goals and features of research organizations. The knowledge efficiency of research groups is then empirically studied. The budget of the projects and size of the research groups are inputs of the projects. To make the assessment more reasonable, two-dimensional indicators, including a domestic impact factor and an international impact factor, are jointly used to evaluate the research outputs for Chinese research groups through a Data Envelopment Analysis approach with preferences. Through comparisons of groups with the highest and lowest efficiency, we discover the critical factors influencing productivity and efficiency of these research groups based an the proposed framework. Finally, we provide some management suggestions for research groups to improve their knowledge creation efficiency.
    Footnote
    Teil eines Themenschwerpunktes: Knowledge Management in Asia
  3. Wang, J.; Reid, E.O.F.: Developing WWW information systems on the Internet (1996) 0.01
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    Source
    Microcomputers for information management. 13(1996) nos.3/4, S.237-252
  4. Wang, J.; Oard, D.W.: Matching meaning for cross-language information retrieval (2012) 0.01
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    Source
    Information processing and management. 48(2012) no.4, S.631-653
  5. Hicks, D.; Wang, J.: Coverage and overlap of the new social sciences and humanities journal lists (2011) 0.00
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    Date
    22. 1.2011 13:21:28
  6. Oard, D.W.; He, D.; Wang, J.: User-assisted query translation for interactive cross-language information retrieval (2008) 0.00
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    Source
    Information processing and management. 44(2008) no.1, S.181-211
  7. Wang, J.; Clements, M.; Yang, J.; Vries, A.P. de; Reinders, M.J.T.: Personalization of tagging systems (2010) 0.00
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    Source
    Information processing and management. 46(2010) no.1, S.58-70
  8. He, R.; Wang, J.; Tian, J.; Chu, C.-T.; Mauney, B.; Perisic, I.: Session analysis of people search within a professional social network (2013) 0.00
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    Date
    19. 4.2013 20:31:22
  9. Jiang, Z.; Gu, Q.; Yin, Y.; Wang, J.; Chen, D.: GRAW+ : a two-view graph propagation method with word coupling for readability assessment (2019) 0.00
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    Date
    15. 4.2019 13:46:22
  10. Wang, J.; Halffman, W.; Zhang, Y.H.: Sorting out journals : the proliferation of journal lists in China (2023) 0.00
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    Date
    22. 9.2023 16:39:23
  11. Qiu, J.; Zuo, M.; Wang, J.; Cai, C.: Knowledge order in an online knowledge community : group heterogeneity and two paths mediated by group interaction (2021) 0.00
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    Abstract
    Knowledge order in an online knowledge community (OKC) refers to a consensual version of collective knowledge in the creation of shared knowledge representation. Much previous research has been conducted in the context of the ordered structure of objective knowledge systems, but this does little to explain the microlevel order of knowledge after users contribute knowledge and achieve consensus through online interactions in OKC. Based on interactive team cognition theory and the stigmergy coordination mechanism, our research aims to investigate how knowledge and experience heterogeneity affect knowledge order effectiveness and efficiency through collaborative and communicative interaction. To test our hypotheses, we randomly collected the records of 250 articles from the English version of Wikipedia. Partial least squares structural equation modeling indicated that OKC favoring online collective knowledge order by limiting communicative interaction, as collaborative interaction is very effective in achieving knowledge order and in achieving it in a fast way. From our findings, scholars and practitioners are advised to pay attention to online knowledge order in the management and design of OKC.