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A fitness landscape approach to technological complexity, modularity, and vertical disintegration

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Cited by:

  1. Jörg Claussen & Tobias Kretschmer & Nils Stieglitz, 2015. "Vertical Scope, Turbulence, and the Benefits of Commitment and Flexibility," Management Science, INFORMS, vol. 61(4), pages 915-929, April.
  2. Robert, Verónica & Yoguel, Gabriel, 2016. "Complexity paths in neo-Schumpeterian evolutionary economics, structural change and development policies," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 3-14.
  3. Lucio Biggiero & Enrico Sevi, 2009. "Opportunism by cheating and its effects on industry profitability. The CIOPS model," Computational and Mathematical Organization Theory, Springer, vol. 15(3), pages 191-236, September.
  4. Khraisha, Tamer, 2020. "Complex economic problems and fitness landscapes: Assessment and methodological perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 390-407.
  5. Jeff Alstott & Giorgio Triulzi & Bowen Yan & Jianxi Luo, 2017. "Mapping technology space by normalizing patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 443-479, January.
  6. Shenglan Huang & Zhi Chen, 2017. "The Effects of Social Capital on Innovation Performance: From Complex Adaptive System Perspective," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(3), pages 191-191, February.
  7. Celo, Sokol & Nebus, James & Wang, I. Kim, 2018. "The Role of Internal and External Complexity in Global Factory Performance: An NKC Application," Journal of International Management, Elsevier, vol. 24(1), pages 65-83.
  8. Koen Frenken & Stefan Mendritzki, 2012. "Optimal modularity: a demonstration of the evolutionary advantage of modular architectures," Journal of Evolutionary Economics, Springer, vol. 22(5), pages 935-956, November.
  9. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
  10. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2022. "Technological paradigms, labour creation and destruction in a multi-sector agent-based model," Research Policy, Elsevier, vol. 51(10).
  11. Caminati, Mauro, 2009. "A knowledge based approach to collaboration in basic research," MPRA Paper 18864, University Library of Munich, Germany.
  12. Patrick Llerena & Muge Ozman, 2013. "Networks, irreversibility and knowledge creation," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 431-453, April.
  13. Sylvie Geisendorf, 2010. "Searching NK Fitness Landscapes: On the Trade Off Between Speed and Quality in Complex Problem Solving," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 395-406, April.
  14. Kimbrough, Erik O., 2011. "Heuristic learning and the discovery of specialization and exchange," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 491-511, April.
  15. Ming Tang & Huchang Liao, 2023. "Group Structure and Information Distribution on the Emergence of Collective Intelligence," Decision Analysis, INFORMS, vol. 20(2), pages 133-150, June.
  16. Gianluca Vagnani & Michele Simoni, 2016. "Technological uncertainty, market orientation and firms? economic performance," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2016(2), pages 143-167.
  17. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  18. Marengo, Luigi & Valente, Marco, 2010. "Industry dynamics in complex product spaces: An evolutionary model," Structural Change and Economic Dynamics, Elsevier, vol. 21(1), pages 5-16, March.
  19. Cristiano Antonelli, 2011. "The Economic Complexity of Technological Change: Knowledge Interaction and Path Dependence," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 1, Edward Elgar Publishing.
  20. Celo, Sokol & Nebus, James & Kim Wang, I., 2015. "MNC structure, complexity, and performance: Insights from NK methodology," Journal of International Management, Elsevier, vol. 21(3), pages 182-199.
  21. Marco Valente, 2014. "An NK-like model for complexity," Journal of Evolutionary Economics, Springer, vol. 24(1), pages 107-134, January.
  22. Mauro Caminati & Arsenio Stabile, 2010. "The Pattern Of Knowledge Flows Between Technology Fields," Metroeconomica, Wiley Blackwell, vol. 61(2), pages 364-397, May.
  23. Dehua Gao & Flaminio Squazzoni & Xiuquan Deng, 2018. "The Intertwining Impact of Intraorganizational and Routine Networks on Routine Replication Dynamics: An Agent-Based Model," Complexity, Hindawi, vol. 2018, pages 1-23, November.
  24. Ali Shafaat & C. Robert Kenley, 2020. "Model‐based design of project systems, modes, and states," Systems Engineering, John Wiley & Sons, vol. 23(2), pages 165-176, March.
  25. William Martin Tracy & M. V. Shyam Kumar & William Paczkowski, 2013. "Parametric interdependence, learning-by-doing, and industrial structure," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 580-600, December.
  26. Gang Zhang & Ruoyang Gao, 2010. "Modularity and incremental innovation: the roles of design rules and organizational communication," Computational and Mathematical Organization Theory, Springer, vol. 16(2), pages 171-200, June.
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