Social capital and knowledge sharing performance of learning networks |
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| Institution: | 1. Department of Agricultural Economics, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium;2. Teagasc Food Research Centre, Ashtown, Dublin 15, Ireland;1. Istanbul Technical University, Maslak, Istanbul, Turkey;2. Xi’an Jiaotong Liverpool University, China;3. Independent Researcher, Southampton, UK;4. Universitat Autònoma de Barcelona, UAB, Spain;1. School of Public Affairs, Arizona State University, Mail Code 3720, Suite #400, 411 N. Central Ave., Phoenix, AZ 85004-0687, USA;2. The Institute for Knowledge and Innovation South-East Asia, Bangkok University, Rama 4 Road, Klong-Toey, Bangkok 10110, Thailand;1. Electronics and Computer Science, University of Southampton, Southampton, UK;2. Xi''an Jiaotong Liverpool University, Suzhou, China;1. School of Computing, Creative Technologies and Engineering, Leeds Beckett University, Leeds, UK;2. Electronics and Computer Science, University of Southampton, Southampton, UK |
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| Abstract: | The purpose of this study is to empirically investigate the relationship between the social capital accumulated among network members and the performance of learning networks in terms of their ability to enhance knowledge sharing among network members. A network level perspective guided the sampling strategy adopted for this survey involving 150 members of 16 European learning networks. Hierarchical multiple regression and structural equation modelling were employed to investigate the inter-relationships between dimensions of social capital and knowledge sharing in learning networks. The results reveal that social interaction and cognitive social capital are positively and significantly related to knowledge sharing in learning networks. Social interaction is also shown to play an important role in the development of shared vision and shared language (i.e. cognitive social capital) in learning networks. This paper sheds further light on the inter-relationships between different dimensions of social capital from a network (rather than firm) level perspective, and contributes to emerging theory on the antecedents to, and assessment of, performance in learning network entities. |
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