GERMANYIn this contribution approaches for the distribution of pr ()
INTRODUCTORY REMARKS AND OVERVIEWIn this contribution possibilities for the distribution of profit in production networks are focused. In that context it is assumed that a product is manufactured in a collaborative network of independent enterprises. The introduced models are of theoretical nature; however the practical relevancy is undisputed. In order to provide suitable solutions for different situations, several models have been elaborated. Basically it is assumed that a central operation and coordination instance operates as a broker for the whole network. In existent literature hardly any comprehensive models focusing that topic can be identified. As an exception game-theoretic approaches can be identified (Fromen, 2005;Sucky, 2004) but there are no approaches taking into account the macroeconomic approach of the New Institutional Economics (Furubotn, 2005). Thereby, informational asymmetries among the network members, opportunistic behaviour, a limited rationality of actors and the tendency for individual maximisation of utility are the basic assumptions in that context.The following profit distribution models consider mainly three influence parameters. In addition to a value-adding-independent (fixed) and a value-adding-dependent (variable) part, a profit expectation-dependent component is taken into consideration. The profit share of an enterprise which is determined by this influence factor is called gf. The variable represents the profit expectation-dependent profit share of an enterprise. The individual profit expectation of an enterprise (with regard to the individual value-adding-share Wi) can be indicated as an amount ge; or a percentage of the value-adding-share ge p ;. It is stored in a central data base which is neither accessible to the network members nor to the broker instance. There is no "open book" strategy in the network.In the further modelling three different influence components are taken into consideration. Thereby it has to be differentiated whether the product offer price of the network p"ff er (respectively the offer profit G'ffej correspond to the final sales price pm/es (respectively the sales profit P) to the customer. Thus, several possibilities Jahn, H., Fischer, M., Teich, T
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