FELU Award for Research Achievements in 2010 December 15, 2011Posted by Miha Skerlavaj in awards, learning networks, social network analysis for management.
Tags: 2010, exponential random graph modeling, Journal of Information Technology, knowledge-intensive company, learning networks, longitudinal, social network analysis
Faculty of Economics @ University of Ljubljana awarded my colleagues and myself for the second time in the last three years with an award for research achievements. This time we got second prize for the paper Škerlavaj, M., Dimovski, V., & Desouza, K. (2010): Patterns and Structures of Intra-Organizational Learning Networks Within a Knowledge-Intensive Organization, Journal of Information Technology, 25(2):189-204.
The 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.
Some pics from the event are available at the following link.