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Aggregate diffusion forecasting models in marketing: A critical review

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  • Parker, Philip M.
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    File URL: http://www.sciencedirect.com/science/article/B6V92-45MGSV6-20/2/b9817cdd07148994b5ffe94d62dfbd9b
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    Bibliographic Info

    Article provided by Elsevier in its journal International Journal of Forecasting.

    Volume (Year): 10 (1994)
    Issue (Month): 2 (September)
    Pages: 353-380

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    Handle: RePEc:eee:intfor:v:10:y:1994:i:2:p:353-380

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    Web page: http://www.elsevier.com/locate/ijforecast

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    Cited by:
    1. Alexander Frenzel Baudisch & Hariolf Grupp, 2006. "Evaluating the market potential of innovations: A structured survey of diffusion models," Jenaer Schriften zur Wirtschaftswissenschaft 21/2006, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
    2. Soloviev, Vladimir, 2009. "Экономико-Математическое Моделирование Рынка Программного Обеспечения: Монография. — М.: Вега-Инфо, 2009. — 176 �," MPRA Paper 28974, University Library of Munich, Germany.
    3. Gabe Bondt & David Ibáñez, 2005. "High-Yield Bond Diffusion in the United States, the United Kingdom, and the Euro Area," Journal of Financial Services Research, Springer, vol. 27(2), pages 163-181, April.
    4. Ben Maalla, El Mehdi & Kunsch, Pierre L., 2008. "Simulation of micro-CHP diffusion by means of System Dynamics," Energy Policy, Elsevier, vol. 36(7), pages 2308-2319, July.
    5. Venkatesan, Rajkumar & Kumar, V., 2002. "A genetic algorithms approach to growth phase forecasting of wireless subscribers," International Journal of Forecasting, Elsevier, vol. 18(4), pages 625-646.
    6. Rui Leite & Aurora Teixeira, 2012. "Innovation diffusion with heterogeneous networked agents: a computational model," Journal of Economic Interaction and Coordination, Springer, vol. 7(2), pages 125-144, October.
    7. Mesak, Hani I. & Bari, Abdullahel & Babin, Barry J. & Birou, Laura M. & Jurkus, Anthony, 2011. "Optimum advertising policy over time for subscriber service innovations in the presence of service cost learning and customers' disadoption," European Journal of Operational Research, Elsevier, vol. 211(3), pages 642-649, June.
    8. Madden, Gary & Coble-Neal, Grant & Dalzell, Brian, 2004. "A dynamic model of mobile telephony subscription incorporating a network effect," Telecommunications Policy, Elsevier, vol. 28(2), pages 133-144, March.
    9. Qin, Ruwen & Nembhard, David A., 2012. "Demand modeling of stochastic product diffusion over the life cycle," International Journal of Production Economics, Elsevier, vol. 137(2), pages 201-210.
    10. de Bondt, Gabe & Marqués-Ibáñez, David, 2004. "The high-yield segment of the corporate bond market: a diffusion modelling approach for the United States, the United Kingdom and the euro area," Working Paper Series 0313, European Central Bank.
    11. Yang, Hai & Meng, Qiang, 2001. "Modeling user adoption of advanced traveler information systems: dynamic evolution and stationary equilibrium," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(10), pages 895-912, December.

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