Innovation in Organizations: Informal Networks, Knowledge Sharing, and the Development of Firms' Innovative Capabilities

Innovation in Organizations: Informal Networks, Knowledge Sharing, and the Development of Firms' Innovative Capabilities

by Marco Tortoriello


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The book is based on an empirical analysis of large high tech companies and how scientists, researchers and engineers manage knowledge flow to generate innovative outcomes.
The book should be useful to managers interested in promoting the generation of innovations in all those organizations in which knowledge is of essence (R&D laboratory, Consulting Firms, Law firms, Advertising Agencies).

Product Details

ISBN-13: 9788885486331
Publisher: EGEA Spa - Bocconi University Press
Publication date: 03/01/2018
Edition description: None
Pages: 110
Product dimensions: 6.75(w) x 9.50(h) x 0.40(d)

About the Author

Marco Tortoriello is Associate Professor of Strategy and Organizations in the Department of Management and Technology at Bocconi University. He was Associate Professor of Strategic Management at IESE Business School and Assistant Professor of Strategy and Business Policy at HEC Paris.

Table of Contents

1 Introduction 1

2 The absorptive capacity framework and social network research 7

2.1 The absorptive capacity framework 7

2.1.1 The process of absorptive capacity 11

2.2 The social network approach 12

2.3 Integrating absorptive capacity and social network theory 18

3 The micro-foundation of absorptive capacity 21

3.1 The social structure of innovation 21

3.2 External knowledge 23

3.2.1 Scientific vs. industrial external knowledge 23

3.3 Internal social structure 25

3.2.1 Is brokerage always good for innovation? 26

3.4 A new framework for social structure and innovativeness 28

3.5 Local vs. global information advantages 30

4 Empirical setting and data 35

4.1 Research site 35

4.2 Data 36

4.2.1 Survey data: external sources of knowledge 37

4.2.2 Survey data: social networks 37

4.2.3 Archival data 39

4.3 Measures: dependent variable 40

4.4 Measures: independent variables 43

5 Findings and results 49

5.1 Main findings 49

5.1.1 Testing additional specification models 51

5.2 Addressing endogeneity 52

5.3 Additional analysis: testing higher order interaction effects 56

5.4 Robustness checks 58

6 Discussion 63

6.1 Contributions 63

6.2 Limitations 69

6.3 Future research 70

6.4 Summary 72

Extending the scope of the analysis plus some managerial implications 73

Four factors for building effective networks 78

Appendix 85

Protocol used for preliminary interviews 86

Network questions used for survey 88

Table with network measures of the variable used in the analysis 90

Factor analysis 91

Bibliography 97

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