9786202010245 - Microfoundations of the Network Effect di MERCIER, Fabien (6 risultati)

Paperback. Condizione: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.

Condizione: New.

Taschenbuch. Condizione: Neu. Microfoundations of the Network Effect | Fabien Mercier | Taschenbuch | 68 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202010245 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The industrial organisation literature typically assumes ex-ante utility functions to quantify the network effects of the various industries it models. In this book we present a simple analytical model which uses an explicit graph-theoretic modelling to simulate these network effects. The network effects it describes are fairly general since they are a mix of pure network effects - being able to link to more agents - and of potential cost-reductions stemming from decreasing marginal costs of the network infrastructure. The model can be applied to a variety of situations, such as telecommunication networks, the current Central Security Depositories network of cross-border links, or, alternatively, its associated custodian network. We derive close-forms of a (quadratic) network effect from the model. In particular it allows to quantify the advantage of a given individual to join a given network, and to split up analytically the various benefits expected from the network. We derive closed-form formulas in the case of homogeneous network and present the algorithms needed for Monte-Carlo simulations for the non-homogeneous case. 68 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The industrial organisation literature typically assumes ex-ante utility functions to quantify the network effects of the various industries it models. In this book we present a simple analytical model which uses an explicit graph-theoretic modelling to simulate these network effects. The network effects it describes are fairly general since they are a mix of pure network effects - being able to link to more agents - and of potential cost-reductions stemming from decreasing marginal costs of the network infrastructure. The model can be applied to a variety of situations, such as telecommunication networks, the current Central Security Depositories network of cross-border links, or, alternatively, its associated custodian network. We derive close-forms of a (quadratic) network effect from the model. In particular it allows to quantify the advantage of a given individual to join a given network, and to split up analytically the various benefits expected from the network. We derive closed-form formulas in the case of homogeneous network and present the algorithms needed for Monte-Carlo simulations for the non-homogeneous case.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The industrial organisation literature typically assumes ex-ante utility functions to quantify the network effects of the various industries it models. In this book we present a simple analytical model which uses an explicit graph-theoretic modelling to simulate these network effects. The network effects it describes are fairly general since they are a mix of pure network effects - being able to link to more agents - and of potential cost-reductions stemming from decreasing marginal costs of the network infrastructure. The model can be applied to a variety of situations, such as telecommunication networks, the current Central Security Depositories network of cross-border links, or, alternatively, its associated custodian network. We derive close-forms of a (quadratic) network effect from the model. In particular it allows to quantify the advantage of a given individual to join a given network, and to split up analytically the various benefits expected from the network. We derive closed-form formulas in the case of homogeneous network and present the algorithms needed for Monte-Carlo simulations for the non-homogeneous case.