IDEAS home Printed from https://ideas.repec.org/r/eee/respol/v46y2017i4p768-783.html
   My bibliography  Save this item

The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Zhang, Zhengang & Luo, Taiye, 2020. "Network capital, exploitative and exploratory innovations——from the perspective of network dynamics," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
  2. Ba, Zhichao & Mao, Jin & Ma, Yaxue & Liang, Zhentao, 2021. "Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field," Journal of Informetrics, Elsevier, vol. 15(3).
  3. Anna‐Maria Kindt & Matthias Geissler & Kilian Bühling, 2022. "Be my (little) partner?!—Universities' role in regional innovation systems when large firms are rare," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1274-1295, November.
  4. Takashi Iino & Hiroyasu Inoue & Yukiko U. Saito & Yasuyuki Todo, 2021. "How does the global network of research collaboration affect the quality of innovation?," The Japanese Economic Review, Springer, vol. 72(1), pages 5-48, January.
  5. Liming Zhao & Haihong Zhang & Wenqing Wu, 2019. "Cooperative knowledge creation in an uncertain network environment based on a dynamic knowledge supernetwork," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 657-685, May.
  6. Zakaryan, Arusyak, 2023. "Organizational knowledge networks, search and exploratory invention," Technovation, Elsevier, vol. 122(C).
  7. Sydow, Jörg & Schreyögg, Georg & Koch, Jochen, 2020. "Current interest in the theory of organizational path dependence: A short update on the occasion of the 2019 AMR Decade Award," Discussion Papers 2020/12, Free University Berlin, School of Business & Economics.
  8. Lin, Runhui & Lu, Yanhong & Zhou, Cheng & Li, Biting, 2022. "Rethinking individual technological innovation: Cooperation network stability and the contingent effect of knowledge network attributes," Journal of Business Research, Elsevier, vol. 144(C), pages 366-376.
  9. Qianqian Jin & Hongshu Chen & Ximeng Wang & Tingting Ma & Fei Xiong, 2022. "Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5415-5440, September.
  10. Jarrahi, Mohammad Hossein & Sawyer, Steve, 2019. "Networks of innovation: the sociotechnical assemblage of tabletop computing," Research Policy, Elsevier, vol. 48(S).
  11. Zhao, Jianyu & Yu, Lean & Xi, Xi & Li, Shengliang, 2023. "Knowledge percolation threshold and optimization strategies of the combinatorial network for complex innovation in the digital economy," Omega, Elsevier, vol. 120(C).
  12. Mostafa Mostafapour & Farzad Movahedi Sobhani & Abbas Saghaei, 2022. "Monitoring Sparse and Attributed Network Streams with MultiLevel and Dynamic Structures," Mathematics, MDPI, vol. 10(23), pages 1-14, November.
  13. Johannes van der Pol, 2018. "Explaining the structure of collaboration networks: from firm-level strategies to global network structure," Cahiers du GREThA (2007-2019) 2018-02, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
  14. Luyun Xu & Jian Li & Xin Zhou, 2019. "Exploring new knowledge through research collaboration: the moderation of the global and local cohesion of knowledge networks," The Journal of Technology Transfer, Springer, vol. 44(3), pages 822-849, June.
  15. László Lőrincz & Guilherme Kenji Chihaya & Anikó Hannák & Dávid Takács & Balázs Lengyel & Rikard Eriksson, 2020. "Global Connections And The Structure Of Skills In Local Co-Worker Networks," CERS-IE WORKING PAPERS 2034, Institute of Economics, Centre for Economic and Regional Studies.
  16. Keke Sun & Xia Cao & Zeyu Xing, 2021. "Can the Diffusion Modes of Green Technology Affect the Enterprise’s Technology Diffusion Network towards Sustainable Development of Hospitality and Tourism Industry in China?," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
  17. Wang, Ming-Chao & Chen, Pei-Chen & Fang, Shih-Chieh, 2018. "A critical view of knowledge networks and innovation performance: The mediation role of firms' knowledge integration capability," Journal of Business Research, Elsevier, vol. 88(C), pages 222-233.
  18. Goossen, Martin C. & Paruchuri, Srikanth, 2022. "Measurement errors and estimation biases with incomplete social networks: replication studies on intra-firm inventor network analysis," Research Policy, Elsevier, vol. 51(1).
  19. Zhang, JingJing & Yan, Yan & Guan, JianCheng, 2019. "Recombinant distance, network governance and recombinant innovation," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 260-272.
  20. Lian, Xiangpeng & Guo, Ying & Su, Jun, 2021. "Technology stocks: A study on the characteristics that help transfer public research to industry," Research Policy, Elsevier, vol. 50(10).
  21. Xi Yang & Xiang Yu, 2020. "Preventing Patent Risks in Artificial Intelligence Industry for Sustainable Development: A Multi-Level Network Analysis," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
  22. Soda, Giuseppe & Zaheer, Akbar & Sun, Xiaoming & Cui, Wentian, 2021. "Brokerage evolution in innovation contexts: Formal structure, network neighborhoods and knowledge," Research Policy, Elsevier, vol. 50(10).
  23. Ren, Ting & Liu, Xin & Ding, Jinqiong, 2023. "Intergenerational dynamics of digital transformation in family firms," Technology in Society, Elsevier, vol. 74(C).
  24. Mingbo Sun & Xueqing Zhang & Xiaoxiao Zhang, 2022. "The Impact of a Multilevel Innovation Network and Government Support on Innovation Performance—An Empirical Study of the Chengdu–Chongqing City Cluster," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
  25. Zhao, Jianyu & Wei, Jiang & Yu, Lean & Xi, Xi, 2022. "Robustness of knowledge networks under targeted attacks: Electric vehicle field of China evidence," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 367-382.
  26. Guo, Min & Yang, Naiding & Wang, Jingbei & Zhang, Yanlu & Wang, Yan, 2021. "How do structural holes promote network expansion?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  27. Taiye Luo & Zhengang Zhang, 2021. "Multi-network embeddedness and innovation performance of R&D employees," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8091-8107, September.
  28. Yonghong Ma & Xiaomeng Yang & Sen Qu & Lingkai Kong, 2022. "Research on the formation mechanism of big data technology cooperation networks: empirical evidence from China," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1273-1294, March.
  29. Brennecke, Julia & Sofka, Wolfgang & Wang, Peng & Rank, Olaf N., 2021. "How the organizational design of R&D units affects individual search intensity – A network study," Research Policy, Elsevier, vol. 50(5).
  30. T. Ciano & P. Fotia & B. A. Pansera & M. Ferrara, 2021. "Inventors Dynamics in Balkanic Area: Evidences by a Network Analysis," Economics of Science, Delo Publishing house, vol. 7(4).
  31. Jiao, Hao & Wang, Tang & Yang, Jifeng, 2022. "Team structure and invention impact under high knowledge diversity: An empirical examination of computer workstation industry," Technovation, Elsevier, vol. 114(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.