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Agent-based computational transaction cost economics

Citations

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Cited by:

  1. R. Cowan & N. Jonard & J. -B. Zimmermann, 2007. "Evolving networks of inventors," Springer Books, in: Uwe Cantner & Franco Malerba (ed.), Innovation, Industrial Dynamics and Structural Transformation, pages 129-148, Springer.
  2. Bart Nooteboom, 2004. "Learning and governance in inter-firm relations," Revue d'économie politique, Dalloz, vol. 114(1), pages 55-76.
  3. Marco Catola & Silvia Leoni, 2025. "Pollution Abatement and Lobbying in a Cournot Game: An Agent-Based Modelling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 65(2), pages 637-664, February.
  4. B. Nooteboom, 2007. "Transaction Costs, Innovation and Learning," Chapters, in: Horst Hanusch & Andreas Pyka (ed.), Elgar Companion to Neo-Schumpeterian Economics, chapter 63, Edward Elgar Publishing.
  5. Jianjun Lu & Shozo Tokinaga, 2013. "Analysis of cluster formations on planer cells based on genetic programming," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 426-445, December.
  6. Alexander Gorobets & Bart Nooteboom, 2006. "Adaptive Build-up and Breakdown of Trust: An Agent Based Computational Approach," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 10(3), pages 277-306, September.
  7. Nooteboom, B., 2002. "Governance and Competence," ERIM Report Series Research in Management ERS-2002-25-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  8. Nooteboom, B., 2006. "Human Nature in the Adaptation of Trust," Other publications TiSEM 6a7897e0-90c6-4c0f-88ed-2, Tilburg University, School of Economics and Management.
  9. 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.
  10. Navarro-Barrientos, Jesús Emeterio & Cantero-Álvarez, Rubén & Matias Rodrigues, João F. & Schweitzer, Frank, 2008. "Investments in random environments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(8), pages 2035-2046.
  11. Tesfatsion, Leigh, 2001. "Introduction to the special issue on agent-based computational economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 281-293, March.
  12. Lee, Kangil & Han, Taek-Whan, 2016. "How vulnerable is the emissions market to transaction costs?: An ABMS Approach," Energy Policy, Elsevier, vol. 90(C), pages 273-286.
  13. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
  14. Szymon Chudziak, 2025. "Studying economic complexity with agent-based models: advances, challenges and future perspectives," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 20(2), pages 413-449, April.
  15. Basaure, Arturo & Suomi, Henna & Hämmäinen, Heikki, 2014. "Effects of transaction and switching costs on mobile market performance," 20th ITS Biennial Conference, Rio de Janeiro 2014: The Net and the Internet - Emerging Markets and Policies 106830, International Telecommunications Society (ITS).
  16. Basaure, Arturo & Suomi, Henna & Hämmäinen, Heikki, 2016. "Transaction vs. switching costs—Comparison of three core mechanisms for mobile markets," Telecommunications Policy, Elsevier, vol. 40(6), pages 545-566.
  17. Utomo, Dhanan Sarwo & Onggo, Bhakti Stephan & Eldridge, Stephen, 2018. "Applications of agent-based modelling and simulation in the agri-food supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 794-805.
  18. Mertens, Anouk & Monderlaers, Koen & Claeys, Dakerlia & Lauwers, Ludwig H. & Buysse, Jeroen, 2014. "Unravelling the informal silage maize trade: a multi-agent modelling approach," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182956, European Association of Agricultural Economists.
  19. Kopp, Thomas & Salecker, Jan, 2020. "How traders influence their neighbours: Modelling social evolutionary processes and peer effects in agricultural trade networks," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
  20. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
  21. Frank Beckenbach & Ramón Briegel, 2010. "Multi-agent modeling of economic innovation dynamics and its implications for analyzing emission impacts," International Economics and Economic Policy, Springer, vol. 7(2), pages 317-341, August.
  22. Thomas Kopp & Jan Salecker, 2018. "Modelling Social Evolutionary Processes and Peer Effects in Agricultural Trade Networks: the Rubber Value Chain in Indonesia," Papers 1811.11476, arXiv.org.
  23. Paul Muller, 2006. "Reputation, trust and the dynamics of leadership in communities of practice," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 10(4), pages 381-400, November.
  24. Gorobets, A. & Nooteboom, B., 2004. "Agent based computational model of trust," ERIM Report Series Research in Management ERS-2004-108-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  25. Arnon Tonmukayakul & Martin Weiss, 2008. "A study of secondary spectrum use using agent-based computational economics," Netnomics, Springer, vol. 9(2), pages 125-151, October.
  26. Kopp, T. & Salecker, J., 2018. "Identifying Influential Traders by Agent Based Modelling," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277130, International Association of Agricultural Economists.
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