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

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

Financing High-Tech Startups: Using Productive Signaling to Efficiently Overcome
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Financing High-Tech Startups: Using Productive Signaling to Efficiently Overcome the Liability of Complexity Hardback - 2018

by Robin P. Tech

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Springer , 1st ed. 2018 edition NO-PA16APR2015-KAP. Hardback. New.
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Details

  • Title Financing High-Tech Startups: Using Productive Signaling to Efficiently Overcome the Liability of Complexity
  • Author Robin P. Tech
  • Binding Hardback
  • Condition New
  • Pages 206
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 1st ed. 2018 edition NO-PA16A
  • Illustrated Yes
  • Bookseller's Inventory # 6376485324
  • ISBN 9783319661544 / 331966154X
  • Weight 1.1 lbs (0.50 kg)
  • Dimensions 9.25 x 6.1 x 0.56 in (23.50 x 15.49 x 1.42 cm)
  • Category Business / Economics / Finance
  • Dewey Decimal Code 338.6
  • Quantity available 4

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

From the publisher

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

From the rear 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.


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.

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