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

• Main Author: Tech, Robin P. G. (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: New business enterprises.; Corporations-Finance.; Management.; Industrial management.; Economic policy.; Industrial organization.; Start-Ups/Venture Capital.; Corporate Finance.; Innovation/Technology Management.; R & D/Technology Policy.; Industrial Organization.
• Physical Description: XIX, 206 p. online resource.
• ISBN: 9783319661551
• DOI: 10.1007/978-3-319-66155-1

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. .