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

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Tech, Robin P. G. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Tech, Robin P. G.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Financing High-Tech Startups  |h [electronic resource] :  |b Using Productive Signaling to Efficiently Overcome the Liability of Complexity /  |c by Robin P. G. Tech. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XIX, 206 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a 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. 
520 |a 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. . 
650 0 |a New business enterprises. 
650 0 |a Corporations-Finance. 
650 0 |a Management. 
650 0 |a Industrial management. 
650 0 |a Economic policy. 
650 0 |a Industrial organization. 
650 1 4 |a Start-Ups/Venture Capital.  |0 http://scigraph.springernature.com/things/product-market-codes/514030 
650 2 4 |a Corporate Finance.  |0 http://scigraph.springernature.com/things/product-market-codes/612000 
650 2 4 |a Innovation/Technology Management.  |0 http://scigraph.springernature.com/things/product-market-codes/518000 
650 2 4 |a R & D/Technology Policy.  |0 http://scigraph.springernature.com/things/product-market-codes/W43000 
650 2 4 |a Industrial Organization.  |0 http://scigraph.springernature.com/things/product-market-codes/W31010 
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