Financing High-Tech Startups: Using Productive Signaling to Efficiently Overcome the Liability of Complexity - Softcover

Tech, Robin P. G.

 
9783030097615: Financing High-Tech Startups: Using Productive Signaling to Efficiently Overcome the Liability of Complexity
Softcover
ISBN 10: 3030097617 ISBN 13: 9783030097615
Verlag: Springer, 2019

Inhaltsangabe

Tackles emerging trends of technology venture development and investment

Combines new institutional economics and behavioral economics with startup financing to identify concrete signaling strategies

Provides an accessible framework and insights for startup founders and high-tech investors 

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Über die Autorin bzw. den Autor

Robin P. G. Tech is a researcher at the Humboldt Institute for Internet and Society in Berlin. He is the principal investigator of a research group that focuses on the entrepreneurial exploitation of the ‘internet of things’. Prior to this, Robin studied Economics and Corporate Management at Zeppelin University (BA),Technology, Sociology, & Management (MSc) in Stockholm, and completed his MBA in Hong Kong. In his non-academic life, Robin is the co-founder of AtomLeap, a high-tech focused startup. He also worked in venture capital (2007), held a consulting position at the curating office Buro17 in Moscow (2009), worked for AUDI on inductive charging systems (2010-2011) and at the European Commission’s EIT Labs (2012-2013) in the field of business modeling for renewable energies. 

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This book examines the adverse effects of complexity, information asymmetries, transaction costs, and uncertainty on investors’ decision making. It suggests mitigating those effects using appropriate and matching signals, and analyzes a sample of 903 German startups to quantitatively highlight the distinct financing patterns and characteristics of high-tech startups. It then investigates the reasons for these patterns on the basis of a qualitative study that includes 34 interviews with investors and entrepreneurs in the US and Germany and an international expert panel. Lastly, it presents a framework that matches complexity factors with appropriate productive signals. 
 


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Verlag
Springer
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
3030097617
ISBN 13 
9783030097615
Einband
Taschenbuch
Anzahl der Seiten
228
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

Lengericher Landstr. 19
Osnabrück
Niedersachsen
49078
Deutschland

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ISBN 10:  331966154X ISBN 13:  9783319661544
Verlag: Springer, 2018
Hardcover