A Scientometric and Social Network Analysis of Two Business Schools

Chu, Keong Lee and Jee, Foon Wee (2007) A Scientometric and Social Network Analysis of Two Business Schools. In: International Conference on Libraries, Information and Society, ICoLIS 2007, Petaling Jaya, Malaysia.

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Official URL: http://dspace.fsktm.um.edu.my/handle/1812/235


In this paper, the ecologies of collaboration among the academics at two business schools, namely, the Nanyang Business School (NBS) and INSEAD are analysed by analysing the ten-year publication output of the two schools using techniques from both scientometrics and social network analysis. These two lenses provide two views that complement each other. When the two views are taken together, they make it possible for the ecology of collaboration at the two schools to be understood more holistically. The publications, retrieved from the Institute of Scientific Information’s Web of Science database, were analysed on a sliding window basis over single-year time spans beginning with 1995 and ending with 2004. UCINET was then used to compute the social network parameters and to plot the sociograms. From the scientometric perspective, INSEAD had the larger publication output of 565 papers, compared with NBS’s 234 papers. The levels of coauthorship at both schools were comparable, at 2.11 authors per paper in NBS and 2.21 papers per author at INSEAD. The low levels of coauthorship, the lack of an inflationary trend in coauthorship over the ten years, and the large percentage of papers that are coauthored by six or less authors (99.6%) indicate that the phenomenon of hyperauthorship was not at play in either school. However, major differences were found in the author productivity, citation profile, and the popular publication outlets. INSEAD’s research papers received more citations compared with NBS’s (29.1% of NBS’s papers were uncited compared with 16.8% of INSEAD’s), and 15 out of the 16 most heavily cited papers (those that received fifty citations or more) were from INSEAD. From the social network perspective, the author-to-author sociograms of both NBS and INSEAD were fragmentary, and comprised numerous small components averaging 2.3 to 4.2 nodes per component. The sociograms were symptomatic of the typical business school culture, which is low in both sociability and solidarity. The low density values also confirm the low level social capital in the networks of both school

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Scientometrics; Authorship pattern; Social network analysis; Collaboration; Nanyang Business School; Institut Europeen d’Administration des Affaires
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Date Deposited: 16 Jul 2013 08:29
Last Modified: 16 Jul 2013 08:29
URI: http://repository.um.edu.my/id/eprint/441

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