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Agent-based modeling on technological innovation as an evolutionary process

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  • Ma, Tieju
  • Nakamori, Yoshiteru

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  • Ma, Tieju & Nakamori, Yoshiteru, 2005. "Agent-based modeling on technological innovation as an evolutionary process," European Journal of Operational Research, Elsevier, vol. 166(3), pages 741-755, November.
    • Handle: RePEc:eee:ejores:v:166:y:2005:i:3:p:741-755
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    1. Loet Leydesdorff, 2001. "Technology and Culture: the Dissemination and the Potential 'Lock-In' of New Technologies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-5.
    2. Nigel Gilbert & Andreas Pyka & Petra Ahrweiler, 2001. "Innovation Networks - a Simulation Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-8.
    3. Robert Axelrod, 1997. "Advancing the Art of Simulation in the Social Sciences," Working Papers 97-05-048, Santa Fe Institute.
    4. John H. Miller, 1998. "Active Nonlinear Tests (ANTs) of Complex Simulation Models," Management Science, INFORMS, vol. 44(6), pages 820-830, June.
    5. Lee Altenberg, 1994. "Evolving Better Representations Through Selective Genome Growth," Working Papers 94-02-008, Santa Fe Institute.
    6. David B. Audretsch, 1995. "Innovation and Industry Evolution," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011468, December.
    7. Gérard Ballot & Erol Taymaz, 1999. "Technological Change, Learning and Macro-Economic Coordination: an Evolutionary Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(2), pages 1-3.
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    Cited by:

    1. Pudmenzky, Alexander, 2006. "On the advantages of non-cooperative behavior in agent populations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(1), pages 1-8.
    2. Amini, Mehdi & Wakolbinger, Tina & Racer, Michael & Nejad, Mohammad G., 2012. "Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach," European Journal of Operational Research, Elsevier, vol. 216(2), pages 301-311.
    3. Pan, Xiaojun & Li, Shoude, 2016. "Dynamic optimal control of process–product innovation with learning by doing," European Journal of Operational Research, Elsevier, vol. 248(1), pages 136-145.
    4. Ma, T. & Grubler, A. & Nakamori, Y., 2009. "Modeling technology adoptions for sustainable development under increasing returns, uncertainty, and heterogeneous agents," European Journal of Operational Research, Elsevier, vol. 195(1), pages 296-306, May.
    5. Yu, Song-min & Fan, Ying & Zhu, Lei & Eichhammer, Wolfgang, 2020. "Modeling the emission trading scheme from an agent-based perspective: System dynamics emerging from firms’ coordination among abatement options," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1113-1128.
    6. Das, Saikat & Bose, Indranil & Sarkar, Uttam Kumar, 2023. "Predicting the outbreak of epidemics using a network-based approach," European Journal of Operational Research, Elsevier, vol. 309(2), pages 819-831.
    7. Guoyin Jiang & Feicheng Ma & Youtian Wang, 2012. "A review on the evolution of user acceptance behaviour in collaborative e-commerce," International Journal of Electronic Finance, Inderscience Enterprises Ltd, vol. 6(1), pages 62-78.
    8. S. Leitner & D.A. Behrens, 2015. "On the efficiency of hurdle rate-based coordination mechanisms," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 21(5), pages 413-431, September.
    9. Ponta, Linda & Puliga, Gloria & Lazzarotti, Valentina & Manzini, Raffaella & Cincotti, Silvano, 2023. "To copatent or not to copatent: An agent-based model for firms facing this dilemma," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1349-1363.
    10. Yoon, Jungsub & Lee, Jeong-Dong & Hwang, Seogwon, 2022. "Episodic change: A new approach to identifying industrial transition," Technovation, Elsevier, vol. 115(C).
    11. Stephan Leitner, 2014. "A simulation analysis of interactions among intended biases in costing systems and their effects on the accuracy of decision-influencing information," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(1), pages 113-138, March.
    12. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    13. Patrick Mellacher, 2022. "Endogenous viral mutations, evolutionary selection, and containment policy design," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(3), pages 801-825, July.
    14. Jeffrey O’Neal London & Nasir Jamil Sheikh, 2020. "Innovation in African-American high-tech enterprises: a multi-agent approach," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(4), pages 3101-3121, June.
    15. Cao, Kai & Feng, Xiao & Wan, Hui, 2009. "Applying agent-based modeling to the evolution of eco-industrial systems," Ecological Economics, Elsevier, vol. 68(11), pages 2868-2876, September.
    16. M Günther & C Stummer & L M Wakolbinger & M Wildpaner, 2011. "An agent-based simulation approach for the new product diffusion of a novel biomass fuel," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 12-20, January.
    17. Stephan Leitner & Doris Behrens, 2015. "On the fault (in)tolerance of coordination mechanisms for distributed investment decisions," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 251-278, March.
    18. Moradi, Mohammad H. & Razini, Saleh & Mahdi Hosseinian, S., 2016. "State of art of multiagent systems in power engineering: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 814-824.
    19. Stephan Leitner, 2023. "Designing organizations for bottom-up task allocation: The role of incentives," Papers 2301.00410, arXiv.org.
    20. Wang, Ziyi & Wennersten, Ronald & Sun, Qie, 2017. "Outline of principles for building scenarios – Transition toward more sustainable energy systems," Applied Energy, Elsevier, vol. 185(P2), pages 1890-1898.
    21. Leitner, Stephan & Rausch, Alexandra & Behrens, Doris A., 2017. "Distributed investment decisions and forecasting errors: An analysis based on a multi-agent simulation model," European Journal of Operational Research, Elsevier, vol. 258(1), pages 279-294.
    22. Lixin Zhou & Jie Lin & Yanfeng Li & Zhenyu Zhang, 2020. "Innovation Diffusion of Mobile Applications in Social Networks: A Multi-Agent System," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    23. Ma, Tieju & Nakamori, Yoshiteru, 2009. "Modeling technological change in energy systems – From optimization to agent-based modeling," Energy, Elsevier, vol. 34(7), pages 873-879.
    24. Sengupta, Abhijit & Sena, Vania, 2020. "Impact of open innovation on industries and firms – A dynamic complex systems view," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    25. Stephan Leitner & Friederike Wall, 2015. "Simulation-based research in management accounting and control: an illustrative overview," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 105-129, August.

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