Series: Contributions to Management Science. Num Pages: 326 pages, 59 black & white illustrations, 8 black & white tables, biography. BIC Classification: KFF; KJT; PBW; PH. Category: (G) General (US: Trade). Dimension: 235 x 155 x 17. Weight in Grams: 504. . 2012. Paperback. . . . . Books ship from the US and Ireland.

Bestandsnummer des Verk�ufers V9783790828139

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Bibliografische Details

Titel: Valuation of Network Effects in Software Markets
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Erscheinungsjahr: 2012
Sprache: Englisch
ISBN-10: 3790828130
ISBN-13: 9783790828139
Einband: Softcover
Zustand: New

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Inhaltsangabe

The customer base is an important value driver of software companies and a reliable prediction of its development is fundamental for investment decisions. A particularity in software markets is that an individual's purchasing decision is often influenced by other users' choices. Although such customer network effects are evident, their quantitative assessment remain elusive with conventional approaches. This book contributes to closing this gap by developing methods for measuring network effects and their implications for valuation in software markets. Based on the theory of complex networks the book reveals that such diffusion processes highly depend on structural properties of customer networks. Moreover, it depicts that such insights are contributions to improve the quality of valuations in software markets. But the implications of this research also comprise social and political aspects as they can be applied in order to prevent corporate failures in all network effect markets.

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The customer base is an important value driver of software companies and a reliable prediction of its development is fundamental for investment decisions. A particularity in software markets is that an individuals purchasing decision is often influenced by other users choices. Although such customer network effects are evident, their quantitative assessment remain elusive with conventional approaches. This book contributes to closing this gap by developing methods for measuring network effects and their implications for valuation in software markets. Based on the theory of complex networks the book reveals that such diffusion processes highly depend on structural properties of customer networks. Moreover, it depicts that such insights are contributions to improve the quality of valuations in software markets. But the implications of this research also comprise social and political aspects as they can be applied in order to prevent corporate failures in all network effect markets.

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