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Knowledge context, learning and innovation: an integrating framework

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  • Stephen Roper
  • James H. Love

Abstract

In this conceptual paper, we develop a framework which identifies those elements of firms’ knowledge context which are important for innovation, and the mechanisms through which that knowledge impacts on firms’ innovation performance. We make four main contributions to the existing literature. First, our characterisation of knowledge context provides the basis for a more specific identification of which elements of firms’ knowledge environment are important for innovation, discriminating between spatial, sectoral and network influences. Second, we reflect the role of innovation ambition in shaping firms’ knowledge search strategies. Third, we differentiate between firms’ interactive and non-interactive knowledge search activities and recognise that these may be complemented by unanticipated and serendipitous knowledge spillovers. Finally, we employ the notion of encoding capacity to reflect firms’ internal ability to assimilate and apply external knowledge, and clarify its distinctiveness from the more general concept of absorptive capacity. Our framework provides an integrating mechanism for existing empirical studies, and suggests a number of new research directions related to the determinants of innovation performance and the heterogeneity of innovation outcomes.

Suggested Citation

  • Stephen Roper & James H. Love, 2018. "Knowledge context, learning and innovation: an integrating framework," Industry and Innovation, Taylor & Francis Journals, vol. 25(4), pages 339-364, April.
  • Handle: RePEc:taf:indinn:v:25:y:2018:i:4:p:339-364
    DOI: 10.1080/13662716.2017.1414744
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    Cited by:

    1. Gao, Xue & Zhang, Yi, 2022. "What is behind the globalization of technology? Exploring the interplay of multi-level drivers of international patent extension in the solar photovoltaic industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    2. Hongting Tang & Xiaoying Xu & Zhihong Li & Rui Qin, 2023. "Identifying contributory domain experts in online innovation communities," Electronic Commerce Research, Springer, vol. 23(4), pages 2759-2787, December.
    3. Zhu, Bei & Nakaishi, Tomoaki & Kagawa, Shigemi, 2024. "Neighbor's profit or Neighbor's beggar? Evidence from China's low carbon cities pilot scheme on green development," Energy Policy, Elsevier, vol. 195(C).
    4. Arza,Valeria Luciana & Cirera,Xavier & Colonna,Agustina & Lopez,Emanuel, 2020. "Explaining Differences in the Returns to R&D in Argentina : The Role of Contextual Factors and Complementarities," Policy Research Working Paper Series 9219, The World Bank.
    5. Roper, Stephen & Love, James H. & Bonner, Karen, 2017. "Firms’ knowledge search and local knowledge externalities in innovation performance," Research Policy, Elsevier, vol. 46(1), pages 43-56.
    6. Zerun Jin & Zitian Cui & Shengjun Zhu & Liyan Xu, 2024. "Face-to-face contact and university–industry collaboration: evidence from mobile signaling data in Beijing," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(4), pages 1255-1276, April.
    7. Frank Crowley & Declan Jordan, 2022. "Do local start-ups and knowledge spillovers matter for firm-level R&D investment?," Urban Studies, Urban Studies Journal Limited, vol. 59(5), pages 1085-1102, April.
    8. Becker, Bettina & Roper, Stephen & Vanino, Enrico, 2023. "Assessing innovation spillovers from publicly funded R&D and innovation support: Evidence from the UK," Technovation, Elsevier, vol. 128(C).
    9. Frenz, Marion & Ietto-Gillies, Grazia, 2025. "Indicators of absorptive capacity. Conceptual framework and estimates for 25 countries and 24 UK sectors," Structural Change and Economic Dynamics, Elsevier, vol. 72(C), pages 482-494.
    10. Robert Huggins & Daniel Prokop & Piers Thompson, 2020. "Universities and open innovation: the determinants of network centrality," The Journal of Technology Transfer, Springer, vol. 45(3), pages 718-757, June.
    11. Fang Wang & Zhaoyuan Xu & Xiaoyong Dai, 2023. "Is learning by exporting technology specific? Evidence from Chinese firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(2), pages 275-304, February.
    12. Gao, Xue & Rai, Varun, 2023. "Knowledge acquisition and innovation quality: The moderating role of geographical characteristics of technology," Technovation, Elsevier, vol. 125(C).
    13. Neij, Lena & Nemet, Gregory, 2022. "Accelerating the low-carbon transition will require policy to enhance local learning," Energy Policy, Elsevier, vol. 167(C).
    14. Marshall S. Jiang & Jie Jiao & Zhouyu Lin & Jun Xia, 2021. "Learning through observation or through acquisition? Innovation performance as an outcome of internal and external knowledge combination," Asia Pacific Journal of Management, Springer, vol. 38(1), pages 35-63, March.
    15. Xionghe Qin & Dong Zhang & Debin Du, 2025. "Understanding the Impact of Spatial Externalities on Two-Stage R&D Efficiency: Empirical Evidence from 285 Chinese Prefecture-Level Cities," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 8308-8342, June.
    16. Yuan Ni & Jia Wang & Cui Li, 2022. "The Power of Sustainability in the “Black Swan” Event: Entrepreneurial Cognition of Top Management Team and Dual Business Model Innovation," Sustainability, MDPI, vol. 14(6), pages 1-22, March.

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