Paperback
Social Capital
An Introduction to Managing Networks
9781781001561 Edward Elgar Publishing
This volume teaches how to understand and manage social capital to facilitate individual and organizational learning and goal attainment. Coverage includes both orchestrating relationships of others and navigating one’s own social interactions. Written at an introductory level and accessible to those without background in network analysis or graph theory, this text combines both comprehensive analysis and concrete concepts to emphasize how critical a role social capital’s applications play on the foundations of business as we know it today.
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Critical Acclaim
Contents
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Social network analysis was, until recently, a relatively unknown branch of sociology and anthropology. The development of menu-driven computer software packages has opened up access for a wide range of audiences, including business and human resource managers. Yet, the tools themselves are of little value without an understanding of the concepts that can relate the computed measures to relevant applications. Social capital provides a framework for relating the abstract world of graph theory, which underlies network analysis, to the concrete world of human behavior.
This volume teaches how to understand and manage social capital to facilitate individual and organizational learning and goal attainment. Coverage includes both orchestrating relationships of others and navigating one’s own social interactions. Written at an introductory level and accessible to those without background in network analysis or graph theory, this text combines both comprehensive analysis and concrete concepts to emphasize how critical a role social capital’s applications play on the foundations of business as we know it today.
A reference book for practice and academia, this book will appeal to graduate and undergraduate students of business, business executives and all those concerned with cultivating and refining an understanding of social capital.
This volume teaches how to understand and manage social capital to facilitate individual and organizational learning and goal attainment. Coverage includes both orchestrating relationships of others and navigating one’s own social interactions. Written at an introductory level and accessible to those without background in network analysis or graph theory, this text combines both comprehensive analysis and concrete concepts to emphasize how critical a role social capital’s applications play on the foundations of business as we know it today.
A reference book for practice and academia, this book will appeal to graduate and undergraduate students of business, business executives and all those concerned with cultivating and refining an understanding of social capital.
Critical Acclaim
‘An increasingly important subject and this book is particularly relevant for anyone interested in seriously considering the topic.’
– Long Range Planning
‘This will be a tremendous addition to the social capital literature and especially teaching some of the concepts of social capital at the graduate level. Such a text is badly needed and quite remarkable that no one has published it before.’
– Viva Ona Bartkus, University of Notre Dame, US
– Long Range Planning
‘This will be a tremendous addition to the social capital literature and especially teaching some of the concepts of social capital at the graduate level. Such a text is badly needed and quite remarkable that no one has published it before.’
– Viva Ona Bartkus, University of Notre Dame, US
Contents
Contents: Foreword Part I: Theory and Applications 1. Social Capital and Social Networks in Action 2. Central Concepts: Social Capital, Strong and Weak 3. Sociocentric Perspectives with Applications to Human Resources 4. Egocentric Concepts and Applications Part II: Data Methods 5. Obtaining Data 6. Handling Data I: Preparations 7. Handling Data II: Visualizations Part III: Analytic Methods 8. Analyzing Structure 9. Analyzing Positions 10. Social Networks and Social Capital in Action, Revisited References Index
