Financing High-Tech Startups: Using Productive Signaling to Efficiently Overcome the Liability of Complexity
Autor Robin P. G. Techen Limba Engleză Hardback – 9 mar 2018
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Specificații
ISBN-13: 9783319661544
ISBN-10: 331966154X
Pagini: 209
Ilustrații: XIX, 206 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.5 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 331966154X
Pagini: 209
Ilustrații: XIX, 206 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.5 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Introduction: High-Tech Startup Financing.- Theory: The Liability of Complexity.- Methodology: Mixed Methods Approach.- Study I: Survey of German Startups.- Study II: Interviews with Entrepreneurs and Investors.- Framework: Matching Signals with Complexities of High-Tech Strartups.- Discussion: Why Signals Can Help to Overcome the Liability of Complexity.- Conclusion: Taming Complexity.- Appendix.
Notă biografică
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.
Textul de pe ultima copertă
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.
Caracteristici
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