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.
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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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Librería: Brook Bookstore On Demand, Napoli, NA, Italia
Condición: new. Questo è un articolo print on demand. Nº de ref. del artículo: 8554212ef0437b5d8735a53024417cc1
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 228 pp. Englisch. Nº de ref. del artículo: 9783319661544
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Librería: moluna, Greven, Alemania
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 . Nº de ref. del artículo: 155241527
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Majestic Books, Hounslow, Reino Unido
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18376472053
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Tackles emerging trends of technology venture development and investmentCombines new institutional economics and behavioral economics with startup financing to identify concrete signaling strategiesProvides an accessible framework and insights for startup founders and high-tech investorsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 228 pp. Englisch. Nº de ref. del artículo: 9783319661544
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783319661544
Cantidad disponible: 1 disponibles