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In today's de-layered, knowledge-intensive organizations, most work of importance is heavily reliant on informal networks of employees within organizations. For example, networks sitting across core work processes, weaving together new product development initiatives or integrating strategic initiatives such as alliances or mergers can be critical to organizational effectiveness. Social network analysis (SNA), a set of analytic tools that can be used to map networks of relationships, allows one to conduct very powerful assessments of information sharing within a network with relatively little effort, thereby revealing both points where collaboration is effective and points where improvement is necessary. Unfortunately, many practitioners are unaware of the potential benefits that can be derived from systematically assessing important informal networks. Networks in the Knowledge Economy was organized to provide readings on the application of social network analysis to managerial concerns. It is specifically concerned with networks inside of organizations given the comparative lack of attention they have received in contrast to relationships between companies and advice on how to become a "networked organization."
How can organizations leverage informal social networks to improve knowledge sharing and operational effectiveness? The authors, experts in organizational behavior and network analysis, argue that formal hierarchies often obscure the critical informal relationships that drive innovation and integration. By applying social network analysis (SNA), managers can identify bottlenecks in information flow and optimize collaboration across departmental silos to build more resilient, networked organizations.
What You Will Find
Experts recognize this work as a foundational text for practitioners seeking to quantify informal organizational dynamics. Readers frequently note the practical utility of the provided tools for managers tasked with improving cross-functional communication.
Page Count:
384
Publication Date:
2099-11-30
Publisher:
Oxford University Press
ISBN-10:
0195165748
ISBN-13:
9780195165746
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