Computational Model Library

Value Chain Marketing (VCM) (1.0.0)

The agents represent suppliers try to implement their innovations via VCM and thereby have to target applicators. In this model, the supplier firm chooses between a cooperative VCM strategy, whereas the supplier and the manufacturer firm together present their innovation to the applicator and a non-cooperative VCM strategy, whereas the supplier firm tries to implement its innovation by its own. The success of the marketing attempt is measured in terms of the acceptance and implementation of the innovation as well as the marketing resources used. The basic model is extended with a representation of knowledge dynamics in and between firms. In particular, the supplier firm attempts to increase its marketing success by improving its knowledge base through adaptation to applicators’ needs and individual learning.

Release Notes

1

Associated Publications

Model description see Hintze, S. and Lüthje, C. (2014). The Evaluation of Value Chain Marketing Strategies: An Agent-Based Approach, in: Gilbert, N., Ahrweiler, A. and Pyka, A. (Eds.), Simulating Knowledge Dynamics in Innovation Networks, Springer: Heidelberg/New York, pp 47-70

This release is out-of-date. The latest version is 1.1.0

Value Chain Marketing (VCM) 1.0.0

The agents represent suppliers try to implement their innovations via VCM and thereby have to target applicators. In this model, the supplier firm chooses between a cooperative VCM strategy, whereas the supplier and the manufacturer firm together present their innovation to the applicator and a non-cooperative VCM strategy, whereas the supplier firm tries to implement its innovation by its own. The success of the marketing attempt is measured in terms of the acceptance and implementation of the innovation as well as the marketing resources used. The basic model is extended with a representation of knowledge dynamics in and between firms. In particular, the supplier firm attempts to increase its marketing success by improving its knowledge base through adaptation to applicators’ needs and individual learning.

Release Notes

1

Version Submitter First published Last modified Status
1.1.0 Stephanie Toth Thu Oct 16 13:53:57 2014 Tue Feb 20 04:48:54 2018 Published
1.0.0 Stephanie Toth Mon Apr 14 19:37:19 2014 Fri Feb 23 10:17:02 2018 Published

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