A Framework to Investigate the Relationship Between Employee Embeddedness in Enterprise Social Networks and Knowledge Transfer

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 526)

Abstract

Organizations introduce Enterprise Social Networks to support knowledge management and in particular to facilitate knowledge transfer. However, to reap the full benefit of Enterprise Social Networks it is necessary to understand the relations and the interactions between employees within these networks. This book chapter provides a literature-based theoretical framework that enables the analysis of the relationships between an employee’s embeddedness in an Enterprise Social Network, their access to social capital, their individual knowledge transfer process and the achieved knowledge transfer in an organization. We develop network-based measures that can be extracted for each framework element using data mining techniques and discuss the relationships among the framework elements. Additionally, suggestions on how to process the network measures using Computational Intelligence methods, e.g., fuzzy logic, are presented. Establishing a strong theoretical groundwork, this book chapter encourages future research crossing the boundaries between information systems, Computational Intelligence, organizational science, and knowledge management.

Keywords

Enterprise Social Networks Organizational social capital Knowledge-intensive work Computational intelligence methods Knowledge transfer 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute of Information SystemsFriedrich Alexander UniversityErlangen-NurembergGermany

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