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System Dynamics Based Prediction of New Product Diffusion: An Evaluation

  • Conference paper
Operations Research Proceedings 2005

Part of the book series: Operations Research Proceedings ((ORP,volume 2005))

Abstract

System Dynamics (SD) is a methodology that can be used for analysing and understanding complex feedback systems. Influencing factors, time delays as well as dynamic relations between factors and effects can be assumed and used for simulations and the development of strategies. Whereas the aim of SD models is the better understanding of the relationship between underlying structure and behaviour of the feedback system, it can also — at least in principal — be used for forecasting. This paper analyses this application field by using real and generated data on new product diffusions in a calibration — validation — setting.

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Author information

Authors and Affiliations

  1. Chair of Planning and Innovation Management, Brandenburg University of Technology, Konrad-Wachsmann-Allee 1, 03046, Cottbus, Germany

    Sabine Schmidt

  2. Chair of Marketing and Innovation Management, Brandenburg University of Technology, Konrad-Wachsmann-Allee 1, 03046, Cottbus, Germany

    Daniel Baier

Authors
  1. Sabine Schmidt
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  2. Daniel Baier
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Editor information

Editors and Affiliations

  1. Institute of Shipping Economics and Logistics Dept. Logistics Systems, University of Bremen, Universitätsallee GW1 Block A, 28359, Bremen, Germany

    Hans-Dietrich Haasis

  2. Faculty of Business Studies and Economics Chair of Logistics, University of Bremen, PO Box 33 04 40, 28334, Bremen, Germany

    Herbert Kopfer  & Jörn Schönberger  & 

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© 2006 Springer-Verlag Berlin Heidelberg

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Schmidt, S., Baier, D. (2006). System Dynamics Based Prediction of New Product Diffusion: An Evaluation. In: Haasis, HD., Kopfer, H., Schönberger, J. (eds) Operations Research Proceedings 2005. Operations Research Proceedings, vol 2005. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-32539-5_98

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