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Patterns and structures of intra-organizational learning networks within a knowledge-intensive organization March 24, 2010

Posted by Miha Skerlavaj in journal, learning networks, social network analysis for management.
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Another publication of ours available on-line in a top-notch academic journal:

Škerlavaj, M., Dimovski, V., Desouza, K.C. (In press): Patterns and structures of intra-organizational learning networks within a knowledge-intensive organization. Journal of Information Technology, doi: 10.1057/jit.2010.3

Abstract

This paper employs the network perspective to study patterns and structures of intra-organizational learning networks. The theoretical background draws from cognitive theories, theories of homophily and proximity, theories of social exchange, the theory of generalized exchange, small-worlds theory, and social process theory. The levels of analysis applied are actor, dyadic, triadic, and global. Confirmatory social network analysis (exponential random graph modeling) was employed for data analysis. Findings suggest: (1) central actors in the learning network are experienced and hold senior positions in the organizational hierarchy; (2) evidence of homophily (in terms of gender, tenure, and hierarchical level relations) and proximity (in terms of geographical and departmental distances) in learning relationships; (3) learning relationships are non-reciprocal; and (4) transitivity and high local clustering with sparse inter-cluster ties are significant for intra-organizational learning networks.

Keywords:

organizational learning; social network analysis; centrality; homophily and proximity; reciprocity; transitivity

Journal Citation Reports®, 2008 Impact Factor: 1.966*, Rank: 24/99 – Computer Science, Information Systems, 10/61 – Information Science & Library Science, 27/89 – Management

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