I have co-authored a paper with Miha Škerlavaj (University of Ljubljana) and Vlado Dimovski (University of Ljubljana) that examines network-based learning. The paper will appear in a special issue of the Journal of Information Technology. I hold a five-year honorary visiting professor appointment at the Faculty of Economics, University of Ljubljana.
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.