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A preliminary test of Hunt's General Theory of Competition: using artificial adaptive agents to study complex and ill-defined environments

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  • Tay, Nicholas S.P.
  • Lusch, Robert F.

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  • Tay, Nicholas S.P. & Lusch, Robert F., 2005. "A preliminary test of Hunt's General Theory of Competition: using artificial adaptive agents to study complex and ill-defined environments," Journal of Business Research, Elsevier, vol. 58(9), pages 1155-1168, September.
    • Handle: RePEc:eee:jbrese:v:58:y:2005:i:9:p:1155-1168
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    1. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    2. David F. Midgley & Robert E. Marks & Lee C. Cooper, 1997. "Breeding Competitive Strategies," Management Science, INFORMS, vol. 43(3), pages 257-275, March.
    3. P. V. (Sundar) Balakrishnan & Varghese S. Jacob, 1996. "Genetic Algorithms for Product Design," Management Science, INFORMS, vol. 42(8), pages 1105-1117, August.
    4. Holland, John H & Miller, John H, 1991. "Artificial Adaptive Agents in Economic Theory," American Economic Review, American Economic Association, vol. 81(2), pages 365-371, May.
    5. Arthur, W Brian, 1991. "Designing Economic Agents that Act Like Human Agents: A Behavioral Approach to Bounded Rationality," American Economic Review, American Economic Association, vol. 81(2), pages 353-359, May.
    6. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, April.
    7. Powell, John H. & Wakeley, Timothy M., 2003. "Evolutionary concepts and business economics: Towards a normative approach," Journal of Business Research, Elsevier, vol. 56(2), pages 153-161, February.
    8. Martin Natter & Andreas Mild & Markus Feurstein & Georg Dorffner & Alfred Taudes, 2001. "The Effect of Incentive Schemes and Organizational Arrangements on the New Product Development Process," Management Science, INFORMS, vol. 47(8), pages 1029-1045, August.
    9. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
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    Cited by:

    1. Orriols-Puig, Albert & Martínez-López, Francisco J. & Casillas, Jorge & Lee, Nick, 2013. "A soft-computing-based method for the automatic discovery of fuzzy rules in databases: Uses for academic research and management support in marketing," Journal of Business Research, Elsevier, vol. 66(9), pages 1332-1337.
    2. Midgley, David & Marks, Robert & Kunchamwar, Dinesh, 2007. "Building and assurance of agent-based models: An example and challenge to the field," Journal of Business Research, Elsevier, vol. 60(8), pages 884-893, August.
    3. Bigdellou, Saeide & Aslani, Shirin & Modarres, Mohammad, 2022. "Optimal promotion planning for a product launch in the presence of word-of-mouth," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    4. Moore, Kevin & Smallman, Clive & Wilson, Jude & Simmons, David, 2012. "Dynamic in-destination decision-making: An adjustment model," Tourism Management, Elsevier, vol. 33(3), pages 635-645.
    5. Yang, Guangfei & Li, Wenli & Wang, Jianliang & Zhang, Dongqing, 2016. "A comparative study on the influential factors of China's provincial energy intensity," Energy Policy, Elsevier, vol. 88(C), pages 74-85.
    6. Vargo, Stephen L. & Lusch, Robert F., 2017. "Service-dominant logic 2025," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 46-67.
    7. Rand, William & Rust, Roland T., 2011. "Agent-based modeling in marketing: Guidelines for rigor," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 181-193.
    8. Stephen L. Vargo & Robert F. Lusch, 2016. "Institutions and axioms: an extension and update of service-dominant logic," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 5-23, January.
    9. Anna Borawska & Malgorzata Latuszynska, 2020. "Incorporating Neuroscience Data into Agent-Based Simulation Models of Buyer Behavior," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1197-1212.
    10. Vargo, Stephen L. & Koskela-Huotari, Kaisa & Baron, Steve & Edvardsson, Bo & Reynoso, Javier & Colurcio, Maria, 2017. "A systems perspective on markets – Toward a research agenda," Journal of Business Research, Elsevier, vol. 79(C), pages 260-268.
    11. William Rand & Roland T. Rust & Min Kim, 2018. "Complex systems: marketing’s new frontier," AMS Review, Springer;Academy of Marketing Science, vol. 8(3), pages 111-127, December.
    12. Malgorzata Latuszynska & Agata Wawrzyniak & Barbara Wasikowska & Fatimah Furaji, 2012. "Application of rough sets to identify the behavior rules of consumer for the purposes of multi-agent simulation model (Zastosowanie zbiorow przyblizonych do wykrywania regul zachowania konsumentow na ," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 10(38), pages 104-123.

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