Session 262

Networks of Innovators

Track I

Date: Tuesday, September 23, 2014


Time: 15:30 – 16:45


Room: Copenhague

Session Chair:

  • Corey Phelps, McGill University

Title: A Multilevel Study of Interpersonal and Inter-Organizational Knowledge Networks in High-Tech Clusters


  • Julia Brennecke, Swinburne University of Technology
  • Olaf Rank, Albert Ludwigs University of Freiburg

Abstract: We investigate the relationship between managers’ and researchers’ embeddedness in interpersonal knowledge networks and their organizations’ involvement in R&D collaborations in the context of regional clusters. Social mechanisms are supposed to give rise to patterns of cross-level assortativity and cross-level closure characterizing multilevel knowledge networks. To find out which patterns actually determine knowledge sharing and cooperation in regional high-tech clusters we apply exponential random graph models for multilevel networks to relational data collected in two clusters in Germany. Our results show a positive interaction between individuals’ popularity as sources for knowledge and their organizations’ centrality in the formal collaboration network as well as a negative interaction between individuals’ activity seeking knowledge from others and their organizations’ centrality. We also find a tendency for cross-level closure.

Title: Big Egos in Big Science: Unlocking Peer Effects in the Evolution of Collaborative Networks


  • Jacob Jeppesen, Copenhagen Business School
  • Kristina Vaarst Andersen, Copenhagen Business School
  • Finn Valentin, Copenhagen Bussiness School
  • Giancarlo Lauto, University of Udine

Abstract: In this paper we investigate the micro-mechanisms governing the structural evolution and performance of scientific collaboration. Using a dataset consisting of full bibliometric coverage from a Large Scale Research Facility, we utilize a stochastic actor oriented model (SAOM) to analyze both network endogeneous mechanisms and individual agency driving the collaboration network and further if being a Big Ego in Big Science translates to increasing performance. Our preliminary results suggest that the selection of collaborators, are not based on preferential attachment, but more of an assortativity effect creating not merely a rich-gets-richer effect but an elitist network with high entry barriers. In this acclaimed democratic and collaborative environment of Big Science, the elite closes in on itself, thus potentially restricting innovation and knowledge creation.

Title: Disentangling the Relationship between Brokerage, Knowledge Flows and Innovation in Intrafirm Subunit Networks


  • Lisa Gaerber, Stanford University
  • Shalini Rogbeer, European Business School

Abstract: It is well established that brokerage creates private benefits for the broker. How brokers reap private benefits and the extent to which other network members benefit from brokerage remains unclear. Acknowledging a direct relationship between knowledge flows and innovation, we use a 3SLS model to elucidate the individual and simultaneous links among brokerage, innovation and knowledge flows. Based on subunit network data of 145 subunits belonging to three multinational enterprises (MNEs), we find that broker subunits do not exhibit any definite patterns of knowledge flow behaviors. We show, however, that facilitating knowledge flows in the network enhances the brokers’ innovation. As facilitators of knowledge flows, brokers optimize both their private as well as the benefits of their respective networks.

Title: Networks, Knowledge Differentiation, and the Publication of Clinical Trials for Depression


  • Rebeca Mendez-Duron, University of the Balearic Islands
  • Marissa King, Yale University
  • Robert Vesco, University of Maryland

Abstract: In this proposal, we argue that the structure of an inter-organizational network of clinical trials affects rates of knowledge production. Moreover, the position of individual organizations in the network largely maps onto different incentives for knowledge generation between pharmaceutical companies and research institutions. Using a co-sponsorship network of clinical trials for depression, we identify a core-periphery structure, calculate the sponsors’ coreness and betweenness centrality; and evaluate their effect on publication rates in medical journals. Our analysis indicates network position does not affect significantly publication rates. Nonetheless, dividing the sample into funding subsamples, our preliminary results suggest the effect of network position is contingent to sponsor’s organizational type. We propose that different incentives combine with different network positions to yield different publication rates.

All Sessions in Track I...

Sun: 08:00 – 09:15
Session 278: Routines: Theoretical and Empirical Advancements and Avenues for Future Research
Sun: 09:30 – 10:45
Session 463: Big Data: Revolutionizing Innovation and Competition
Sun: 11:15 – 12:30
Session 464: Foundations Session: A conversation with Michael Tushman on Leadership, Innovation and Strategic Change
Sun: 15:45 – 17:00
Session 270: Innovation in MNCs and Global Networks
Session 275: Open Innovation: Outcomes and antecedents
Sun: 17:15 – 18:30
Session 605: Knowledge and Innovation IG Business Meeting
Mon: 08:00 – 09:15
Session 260: IPRs, Appropriability and Innovation
Session 274: Incumbents, Radical Innovations and Disruptive Technologies
Mon: 11:00 – 12:15
Session 276: Organizational Learning
Session 277: Learning From Others
Session 372: The Challenges of Global Operations: Managing R&D and Complexity
Session 423: Alliances and Innovation Performance
Mon: 14:45 – 16:00
Session 265: Learning, Search, Slack: The behavioral theory revisited
Session 269: Knowledge Flows: Transfer, sharing and replication
Mon: 16:30 – 17:45
Session 254: Conversations about Knowledge
Session 257: Spin offs, Venture Capital and Entrepreneurship
Tue: 08:00 – 09:15
Session 259: Institutionalizing Innovation: Norms, status and legitimacy issues
Session 273: From Internal Resources to Customer Needs
Session 383: Globalization of R&D: Implications for Learning and Innovation
Tue: 11:00 – 12:15
Session 267: The Role of Individuals in Innovation
Session 272: Research and Development: Antecedents and outcomes
Session 361: Creativity and Innovation
Session 469: M&As and Innovation
Tue: 15:30 – 16:45
Session 262: Networks of Innovators
Session 263: Innovation Models in Emerging Economies
Tue: 17:15 – 18:30
Session 255: Exploration and Exploitation
Session 256: Organizing for Open Innovation
Session 261: Practices and Processes for Innovation

Strategic Management Society