Anne L. J. Ter Wal

TL;DR: In this article, the authors present opportunities for future research on OI, organized at different levels of analysis, and discuss some of the contingencies at these different levels, and argue that future research needs to study OI - originally an organisational-level phenomenon.

TL;DR: In this article, the authors argue that network analysis has a huge potential to enrich the literature on clusters, regional innovation systems and knowledge spillovers, and describe how these challenges can be met through the application of network analysis techniques, using primary (survey) and secondary (patent) data.

TL;DR: In this paper, the authors propose a theoretical framework that brings together the literature on clusters, industrial dynamics, the evolutionary theory of the firm, and network theory to describe how clusters co-evolve with the industry with to they adhere; the capabilities of the firms they contain; and the industry-wide knowledge network of which they are part.

TL;DR: In this article, the authors explore the interplay between geographic distance and triadic closure as two main forces that drive the evolution of collaboration networks, and empirically demonstrate that as the technological regime of an industry changes over time, inventors increasingly rely on network resources by forming links to partners of partners, while the direct impact of geographic distance on tie formation decreases.

TL;DR: In this paper, the authors identify four specific challenges and coping strategies of individuals engaged in open innovation and propose a range of open innovation practices organizations can implement to better equip their staff to undertake effective external engagement.