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Decoding relationships in organizational learning process: Perspectives from an emerging economy
Published in John Wiley and Sons Ltd
2021
Abstract
Despite its direct impact on corporate longevity, there is no established theory of organizational learning yet. Coupled with the lack of empirical studies that use novel approaches for studying organizational learning, led us to propose a relationship-based perspective rooted in social network analysis for better understanding the underlying social processes in learning. We chose the context of family firms for studying organizational learning because family firms provide an appropriate context to investigate the relationships between people in the learning process. A richly detailed single-case methodology, which is often utilized for social network analysis, was deemed appropriate for our study. We collected data from the members of the management team of a second-generation family business. The socio-centric (whole-network) approach in social network analysis was used for collecting participant responses. The data were entered into a social network analysis program called UCINET to calculate the network measures for learning subprocesses. The author complemented the analysis using UCINET with interviews to develop a detailed description of the case. The assessment of the relational characteristics via social network analysis helped to clarify sources of path dependence in family businesses. Mapping information flow made it possible to predict whose knowledge will account for a substantial amount of an organization's learning accounted for by various subprocesses. Based on works that have already been done on organizational learning and social network analysis, our findings cast new light on research that has examined the effects of relational properties on the extent of organizational learning in family firms. © 2021 John Wiley & Sons Ltd.
About the journal
JournalData powered by TypesetKnowledge and Process Management
PublisherData powered by TypesetJohn Wiley and Sons Ltd
ISSN10924604
Open AccessNo