Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Contributions to Management Science (MANAGEMENT SC.)
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Table of contents (19 chapters)
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Summary, Implications, Limitations, and Outlook
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Valuation of Network Effects in Software Markets
Book Subtitle: A Complex Networks Approach
Authors: Andreas Kemper
Series Title: Contributions to Management Science
DOI: https://doi.org/10.1007/978-3-7908-2367-7
Publisher: Physica Heidelberg
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: Physica-Verlag Heidelberg 2010
Hardcover ISBN: 978-3-7908-2366-0Published: 16 December 2009
Softcover ISBN: 978-3-7908-2813-9Published: 01 March 2012
eBook ISBN: 978-3-7908-2367-7Published: 12 December 2009
Series ISSN: 1431-1941
Series E-ISSN: 2197-716X
Edition Number: 1
Number of Pages: XVII, 309
Number of Illustrations: 59 b/w illustrations
Topics: Finance, general, Operations Research/Decision Theory, Complex Systems, Quantitative Finance, Macroeconomics/Monetary Economics//Financial Economics, Statistical Physics and Dynamical Systems