Anne L. J. Ter Wal

Knowledge Networks and Innovative Performance in an Industrial District: The Case of a Footwear District in the South of Italy

The traditional district literature tends to assume that: (1) the competitiveness of firms depends on external sources of knowledge; (2) all firms in a district benefit from knowledge externalities; (3) relying on external knowledge relationships necessarily means these are confined to the district area. Our case study of the Barletta footwear district in the South of Italy suggests otherwise. Based on social network analysis, we demonstrate that the local knowledge network is quite weak and unevenly distributed among the local firms. A strong local network position of a firm tended to increase their innovative performance, and so did their connectivity to extra‐local firms. So, it mattered being connected either locally or non‐locally: being co‐located was surely not enough. Having a high absorptive capacity seemed to raise only indirectly, through non‐local relationships, the innovative performance of firms.

The open innovation research landscape: Established perspectives and emerging themes across different levels of analysis

Abstract This paper provides an overview of the main perspectives and themes emerging in research on open innovation (OI). The paper is the result of a collaborative process among several OI scholars – having a common basis in the recurrent Professional Development Workshop on ‘Researching Open Innovation’ at the Annual Meeting of the Academy of Management. In this paper, we present opportunities for future research on OI, organised at different levels of analysis. We discuss some of the contingencies at these different levels, and argue that future research needs to study OI – originally an organisational-level phenomenon – across multiple levels of analysis. While our integrative framework allows comparing, contrasting and integrating various perspectives at different levels of analysis, further theorising will be needed to advance OI research. On this basis, we propose some new research categories as well as questions for future research – particularly those that span across research domains that have so far developed in isolation.

Coping with open innovation: : responding to the challenges of external engagement in R&D

Open innovation often requires wholesale changes to the nature of R&D. However, academic research and managerial practice have paid little attention to the challenges that individuals face in the daily pursuit of open innovation. As a result, there is little understanding of how individuals cope with open innovation, and which organizational practices can support them in this role. Drawing on the experiences of R&D professionals, this article identifies four specific challenges and coping strategies of individuals engaged in open innovation. It proposes a range of open innovation practices that organizations can implement to better equip their staff to undertake effective external engagement.

Cluster Emergence and Network Evolution: A Longitudinal Analysis of the Inventor Network in Sophia-Antipolis

Ter Wal A. L. J. Cluster emergence and network evolution: a longitudinal analysis of the inventor network in Sophia-Antipolis, Regional Studies . It is increasingly acknowledged that clusters do not necessarily exhibit networks of local collective learning. Through a case study of Sophia-Antipolis in France, this study investigates to what extent networks of collective learning emerged throughout the growth of the business park. A longitudinal analysis of the inventor networks of its two main sectors reveals that a local network of collective learning emerged only in Information Technology and not in the Life Sciences. Through the creation of spin-offs and high-technology start-up firms, the initial dominance of large multinationals decreased only in Information Technology. This suggests that small firms play an important role in establishing local networks.(This abstract was borrowed from another version of this item.)

The Evolution of Trade and Scientific Collaboration Networks in the Global Wine Sector: A Longitudinal Study Using Network Analysis

Abstract Throughout the past three decades, the global pattern of wine production has undergone fundamental changes, most notably the emergence of New World producers. This article presents a detailed account of the sector’s changing global organization from 1974 to 2004 by applying network analysis methods to the evolution of international trade and scientific collaboration networks. We argue that there is a strong mutual interdependence of trade and scientific knowledge production, as a result of which we expect the geographic configuration of global knowledge and trade networks to coevolve. Our results show that, over time, only a few New World wine producers developed trade and scientific collaboration networks that resemble those of traditional Old World producers. They also show that structures of trade and scientific collaboration networks are more alike for Old World than for New World producers, which suggests that, contrary to our expectations, it is particularly Old World producers who may have mainly benefited from participation in international scientific collaboration.

The Best of Both Worlds The Benefits of Open-specialized and Closed-diverse Syndication Networks for New Ventures’ Success

Open networks give actors non-redundant information that is diverse, while closed networks offer redundant information that is easier to interpret. Integrating arguments about network structure and the similarity of actors’ knowledge, we propose two types of network configurations that combine diversity and ease of interpretation. Closed-diverse networks offer diversity in actors’ knowledge domains and shared third-party ties to help in interpreting that knowledge. In open-specialized networks, structural holes offer diversity, while shared interpretive schema and overlap between received information and actors’ prior knowledge help in interpreting new information without the help of third parties. In contrast, actors in open-diverse networks suffer from information overload due to the lack of shared schema or overlapping prior knowledge for the interpretation of diverse information, and actors in closed-specialized networks suffer from overembeddedness because they cannot access diverse information. Using CrunchBase data on early-stage venture capital investments in the U.S. information technology sector, we test the effect of investors’ social capital on the success of their portfolio ventures. We find that ventures have the highest chances of success if their syndicating investors have either open-specialized or closed-diverse networks. These effects are manifested beyond the direct effects of ventures’ or investors’ quality and are robust to controlling for the possibility that certain investors could have chosen more promising ventures at the time of first funding.

Networks and geography in the economics of knowledge flows: a commentary

In the paper “Networks and geography in the economics of knowledge flows” Maggioni and Uberti provide a rich and detailed overview of the current state-of-art and future challenges of the analysis of knowledge flows in economics. Maggioni and Uberti illustrate how geographical factors and network factors can explain spatial patterns of knowledge flows. This commentary portrays where the type of studies discussed by the authors fit in the wider literature on geography, networks and knowledge flows. Second, the commentary discusses the suggestions of future research the authors describe and proposes some further avenues for future research that are in line with those suggested by the authors. In particular, it zooms in onto the role of comparative statics in studies of network dynamics, stochastic estimation models of network evolution and content-based network analysis in pushing the frontier of research on networks, geography and knowledge flows.