Journal: Research Policy

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Abbreviation

Res. policy

Publisher

Elsevier

Journal Volumes

ISSN

0048-7333
1873-7625

Description

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Publications 1 - 10 of 60
  • von Krogh, Georg; Spaeth, Sebastian; Lakhani, Karim R. (2003)
    Research Policy
  • von Krogh, Georg (2003)
    Research Policy
  • Ossenbrink, Jan; Finnsson, Sveinbjoern; Bening, Catharina R.; et al. (2019)
    Research Policy
  • Ter Wal, Anne L.J.; Criscuolo, Paola; Salter, Ammon (2017)
    Research Policy
    Through interviews and a large-scale survey of R&D scientists and engineers, this paper explores individuals’ attempts to absorb external knowledge, focusing on their efforts to identify and assimilate external knowledge and promote its utilization. Extant research does not explicitly address whether individuals should better specialize in certain absorption efforts or rather work as generalists dedicated to a range of efforts. We suggest that assimilation efforts increase the value of individuals’ efforts at external search and at promoting the utilization of external knowledge, which culminates in two main absorption roles that can help individuals achieve greater innovation performance. We argue that gatekeepers who combine external search with assimilation effort help to achieve innovation by contributing to building potential absorptive capacity, while shepherds who combine assimilation with utilization effort aid innovation by building realized absorptive capacity. We find support for these predictions and discuss the implications for research and managerial practice in open innovation.
  • Dahlander, Linus; Gann, David M.; Wallin, Martin W. (2021)
    Research Policy
    This paper sheds fresh light on our 2010 paper How Open Is Innovation by taking into consideration notable developments in innovation over the last decade. The original paper developed four types of openness: sourcing, acquiring, selling, and revealing. Reflecting on important technological, organizational, and societal changes in the past decade, we highlight how these changes prompt novel questions for open innovation. While the core features of the original framework still stands, there are many new questions that have emerged in recent years. We end by charting a path for future research that emphasizes opportunities, costs and tradeoffs between different modes of open innovation, the need to better understand the nature of data, new organizational designs and legal instruments, and multilevel aspects and relationships that affect the extent and nature of openness.
  • Under the Radar
    Item type: Journal Article
    Haefliger, Stefan; Jäger, Peter; von Krogh, Georg (2010)
    Research Policy
  • Beck, Mathias Oliver Hermann; Lopes-Bento, Cindy; Schenker-Wicki, Andrea (2016)
    Research Policy
  • Keupp, M.M.; Gassmann, O. (2013)
    Research Policy
  • Layers of co-existing innovation systems
    Item type: Journal Article
    Meuer, Johannes; Rupietta, Christian; Backes-Gellner, Uschi (2015)
    Research Policy
  • Schmidt, Tobias; Battke, Benedikt; Grosspietsch, David; et al. (2016)
    Research Policy
    The role of deployment policies that aim to foster technological change has grown considerably, especially in the fields of energy and climate. However, recent research has shown that the adoption of deployment policies carries the potential of locking in the technology that is most cost-effective at the point of policy introduction, but may be inefficient in the long term. The present paper contributes to the emerging literature on the role of deployment policies in creating path-dependency and eventually technology lock-in. While previous studies focused on the relationship between lock-in and the technology-specificity of deployment policies, this paper introduces a new factor: the existence of multiple applications for a technology. We argue that this factor is highly relevant for technological lock-in and should be considered by policy makers. To support our argument, we simulate the competition among four stationary battery technologies across energy system applications in an investment simulation model. This simulation shows that the degree of competition among technologies differs strongly across applications, which corresponds with a highly varying lock-in probability. Hence, selecting applications in deployment policies very likely corresponds to selecting technologies. We discuss the implications of these results for both policy makers and for the academic debate on deployment policies and technological lock-in as well as on technology assessment and governance more generally. Based on the notion that policies can have different technology-specificity levels, we develop the idea of the application-specificity of policies and provide examples of currently enacted deployment policies that vary in terms of their technology and application specificity.
Publications 1 - 10 of 60