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

Tech, Robin P. G.

Softcover

ISBN 10: 3030097617 ISBN 13: 9783030097615

Publisher: Springer, 2019

Synopsis

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 

About this title

About the Author

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. 

From the Back Cover

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. 

 

Edition details

• Publisher: Springer
• Publication date: 2019
• Language: English
• ISBN 10: 3030097617
• ISBN 13: 9783030097615
• Binding: Paperback
• Number of pages: 225