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

Tech, Robin P. G.

 
9783319661544: Financing High-Tech Startups: Using Productive Signaling to Efficiently Overcome the Liability of Complexity
Hardcover
ISBN 10: 331966154X ISBN 13: 9783319661544
Verlag: Springer, 2018

Inhaltsangabe

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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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. 

Von der hinteren Coverseite

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
2018
Sprache
Englisch
ISBN 10 
331966154X
ISBN 13 
9783319661544
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
225
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Softcover