Title: Understanding the structures, antecedents and outcomes of organisational learning and knowledge transfer: a multi-theoretical and multilevel network analysis

Authors: Chunke Su, Meikuan Huang, Noshir Contractor

Addresses: Department of Communication, Box 19107, 700 W. Greek Row Dr., University of Texas at Arlington, Arlington, TX 76019, USA. ' Department of Communication Studies, California State University, Stanislaus One University Circle, Turlock, CA 95382, USA. ' Department of Industrial Engineering & Management Sciences, 2145 Sheridan Road, TECH D241, Northwestern University, Evanston, IL 60208, USA

Abstract: The goal of this study was to develop a multi-theoretical and multilevel model to study organisational learning and knowledge transfer. We employed a social network approach to theorise and empirically test the structures, antecedents and outcomes of intra-organisational information retrieval and allocation. Data were collected from 110 individuals across nine work teams, and analysed using Exponential Random Graph Modelling (ERGM) technique. The results found a multiplexity and reciprocity of team members| information retrieval and allocation, as well as a predominant centralised structure of information retrieval. Furthermore, there was a tendency for members to retrieve and allocate information across job positions. Finally, members were more satisfied with their team work when proactively retrieving information from others than when receiving unsolicited information allocated from others. This study has important theoretical and practical implications for understanding and managing organisational knowledge and learning networks.

Keywords: organisational learning; knowledge transfer; information retrieval; information allocation; ERGM analysis; social network analysis; exponential random graph modelling; teamwork; unsolicited information.

DOI: 10.1504/EJIM.2010.035590

European Journal of International Management, 2010 Vol.4 No.6, pp.576 - 601

Published online: 30 Sep 2010 *

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