IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v51y2001i3p179-191.html
   My bibliography  Save this article

Non-linear dynamics and duopolistic competition: a R&D model and simulation

Author

Listed:
  • Whitby, Simon
  • Parker, David
  • Tobias, Andrew

Abstract

No abstract is available for this item.

Suggested Citation

  • Whitby, Simon & Parker, David & Tobias, Andrew, 2001. "Non-linear dynamics and duopolistic competition: a R&D model and simulation," Journal of Business Research, Elsevier, vol. 51(3), pages 179-191, March.
    • Handle: RePEc:eee:jbrese:v:51:y:2001:i:3:p:179-191
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148-2963(99)00050-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Baumol, William J & Benhabib, Jess, 1989. "Chaos: Significance, Mechanism, and Economic Applications," Journal of Economic Perspectives, American Economic Association, vol. 3(1), pages 77-105, Winter.
    2. repec:bla:scandj:v:85:y:1983:i:2:p:147-57 is not listed on IDEAS
    3. Van Ackere, Ann & Larsen, Erik Reimer & Morecroft, John D. W., 1993. "Systems thinking and business process redesign: An application to the beer game," European Management Journal, Elsevier, vol. 11(4), pages 412-423, December.
    4. Kelsey, David, 1988. "The Economics of Chaos or the Chaos of Economics," Oxford Economic Papers, Oxford University Press, vol. 40(1), pages 1-31, March.
    5. Feichtinger, Gustav & Kopel, Michael, 1993. "Chaos in nonlinear dynamical systems exemplified by an R & D model," European Journal of Operational Research, Elsevier, vol. 68(2), pages 145-159, July.
    6. Day, Richard H., 1987. "The evolving economy," European Journal of Operational Research, Elsevier, vol. 30(3), pages 251-257, June.
    7. Sterman, John D., 1989. "Misperceptions of feedback in dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(3), pages 301-335, June.
    8. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    9. Kopel, Michael, 1996. "Periodic and chaotic behaviour of a simple R&D model," Ricerche Economiche, Elsevier, vol. 50(3), pages 235-265, September.
    10. David Levy, 1994. "Chaos theory and strategy: Theory, application, and managerial implications," Strategic Management Journal, Wiley Blackwell, vol. 15(S2), pages 167-178, June.
    11. Dana, Rose-Anne & Montrucchio, Luigi, 1986. "Dynamic complexity in duopoly games," Journal of Economic Theory, Elsevier, vol. 40(1), pages 40-56, October.
    12. Rand, David, 1978. "Exotic phenomena in games and duopoly models," Journal of Mathematical Economics, Elsevier, vol. 5(2), pages 173-184, September.
    13. Rasmussen, Dan Rene & Mosekilde, Erik, 1988. "Bifurcations and chaos in a generic management model," European Journal of Operational Research, Elsevier, vol. 35(1), pages 80-88, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Yuan, Xuchuan & Nishant, Rohit, 2021. "Understanding the complex relationship between R&D investment and firm growth: A chaos perspective," Journal of Business Research, Elsevier, vol. 129(C), pages 666-678.
    2. Gallay, Olivier & Hongler, Max-Olivier, 2009. "Circulation of autonomous agents in production and service networks," International Journal of Production Economics, Elsevier, vol. 120(2), pages 378-388, August.
    3. Dou, Wenyu & Ghose, Sanjoy, 2006. "A dynamic nonlinear model of online retail competition using Cusp Catastrophe Theory," Journal of Business Research, Elsevier, vol. 59(7), pages 838-848, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Larsen, Erik R. & Morecroft, John D. W. & Thomsen, Jesper S., 1999. "Complex behaviour in a production-distribution model," European Journal of Operational Research, Elsevier, vol. 119(1), pages 61-74, November.
    2. Nijkamp, P. & Poot, J., 1991. "Lessons from non-linear dynamic economics," Serie Research Memoranda 0105, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Riggle, Charlene & Madey, Gregory, 1997. "An analysis of the impact of chaotic dynamics on management information flow models," European Journal of Operational Research, Elsevier, vol. 103(1), pages 242-254, November.
    4. Yuan, Xuchuan & Nishant, Rohit, 2021. "Understanding the complex relationship between R&D investment and firm growth: A chaos perspective," Journal of Business Research, Elsevier, vol. 129(C), pages 666-678.
    5. Luong, Huynh Trung, 2007. "Measure of bullwhip effect in supply chains with autoregressive demand process," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1086-1097, August.
    6. Ciancimino, Elena & Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2012. "On the Bullwhip Avoidance Phase: The Synchronised Supply Chain," European Journal of Operational Research, Elsevier, vol. 221(1), pages 49-63.
    7. Nijkamp, P. & Reggiani, A., 1990. "Spatio-temporal processes in dynamic logit models," Serie Research Memoranda 0063, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    8. Towill, Denis R. & Zhou, Li & Disney, Stephen M., 2007. "Reducing the bullwhip effect: Looking through the appropriate lens," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 444-453, July.
    9. Naim, M.M., 2006. "The impact of the net present value on the assessment of the dynamic performance of e-commerce enabled supply chains," International Journal of Production Economics, Elsevier, vol. 104(2), pages 382-393, December.
    10. Geary, S. & Disney, S.M. & Towill, D.R., 2006. "On bullwhip in supply chains--historical review, present practice and expected future impact," International Journal of Production Economics, Elsevier, vol. 101(1), pages 2-18, May.
    11. Nijkamp, Peter & Reggiani, Aura, 1995. "Non-linear evolution of dynamic spatial systems. The relevance of chaos and ecologically-based models," Regional Science and Urban Economics, Elsevier, vol. 25(2), pages 183-210, April.
    12. Janusz Grabara & Marta Starostka-Patyk, 2009. "The Bullwhip Effect In Supply Chain," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 3(1), pages 127-133, December.
    13. Villa, Sebastián, 2022. "Competing for supply and demand: Understanding retailers' ordering decisions," International Journal of Production Economics, Elsevier, vol. 244(C).
    14. Roberto Dominguez & Salvatore Cannella & Borja Ponte & Jose M. Framinan, 2022. "Information sharing in decentralised supply chains with partial collaboration," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 263-292, June.
    15. Sebastián Villa & Paulo Gonçalves & Santiago Arango, 2015. "Exploring retailers' ordering decisions under delays," System Dynamics Review, System Dynamics Society, vol. 31(1-2), pages 1-27, January.
    16. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2004. "The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective," European Journal of Operational Research, Elsevier, vol. 153(3), pages 727-750, March.
    17. Cannella, Salvatore & Framinan, Jose M. & Bruccoleri, Manfredi & Barbosa-Póvoa, Ana Paula & Relvas, Susana, 2015. "The effect of Inventory Record Inaccuracy in Information Exchange Supply Chains," European Journal of Operational Research, Elsevier, vol. 243(1), pages 120-129.
    18. Michele Boldrin, 1988. "Persistent Oscillations and Chaos in Dynamic Economic Models: Notes for a Survey," UCLA Economics Working Papers 458A, UCLA Department of Economics.
    19. Hazhir Rahmandad & Nelson Repenning, 2016. "Capability erosion dynamics," Strategic Management Journal, Wiley Blackwell, vol. 37(4), pages 649-672, April.
    20. Ma, Yungao & Wang, Nengmin & He, Zhengwen & Lu, Jizhou & Liang, Huigang, 2015. "Analysis of the bullwhip effect in two parallel supply chains with interacting price-sensitive demands," European Journal of Operational Research, Elsevier, vol. 243(3), pages 815-825.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:51:y:2001:i:3:p:179-191. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.