IS

CHOI, JIN NAM

Topic Weight Topic Terms
0.162 network networks social analysis ties structure p2p exchange externalities individual impact peer-to-peer structural growth centrality
0.139 research information systems science field discipline researchers principles practice core methods area reference relevance conclude
0.128 knowledge application management domain processes kms systems study different use domains role comprehension effective types
0.107 research researchers framework future information systems important present agenda identify areas provide understanding contributions using

Focal Researcher     Coauthors of Focal Researcher (1st degree)     Coauthors of Coauthors (2nd degree)

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KIM, KIMIN 1 Oh, Wonseok 1
coauthorship patterns 1 knowledge capital 1 ontology of IS research 1 research impact 1
social networks 1 SSIC index 1 structural holes 1

Articles (1)

Coauthorship Dynamics and Knowledge Capital: The Patterns of Cross-Disciplinary Collaboration in Information Systems Research. (Journal of Management Information Systems, 2005)
Authors: Abstract:
    From the social network perspective, this study explores the ontological structure of knowledge sharing activities engaged in by researchers in the field of information systems (IS) over the past three decades. We construct a knowledge network based on coauthorship patterns extracted from four major journals in the IS field in order to analyze the distinctive characteristics of each subfield and to assess the amount of internal and external knowledge exchange that has taken place among IS researchers. This study also tests the role of different types of social capital that influence the academic impact of researchers. Our results indicate that the proportion of coauthored IS articles in the four journals has doubled over the past 25 years, from merely 40 percent in 1978 to over 80 percent in 2002. However, a significant variation exists in terms of the shape, density, and centralization of knowledge exchange networks across the four subfields of IS—namely, behavioral science, organizational science, computer science, and economic science. For example, the behavioral science subgroup, in terms of internal cohesion among researchers, tends to develop the most dense collaborative relationships, whereas the computer science subgroup is the most fragmented. Moreover, external collaboration across these subfields appears to be limited and severely unbalanced. Across the four subfields, on average, less than 20 percent of the research collaboration ties involved researchers from different subdisciplines. Finally, the regression analysis reveals that knowledge capital derived from a network rich in structural holes has a positive influence on an individual researcher's academic performance.