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Framework: Matching Signals with Complexities of High-Tech Startups

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Financing High-Tech Startups

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Abstract

This chapter identifies and examines the most important complexity factors from Study II, i.e., the ones that affect early stage high-tech startups and their investors the most. It also describes matching signals that startups can send to counter the adverse effects of complexity and newness. This makes it possible to validate key dimensions of investor uncertainties and classes of appropriate signals, which ultimately enables the development of a comprehensive ‘complexity signal framework’ that is specific to early stage high-tech startups.

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Authors and Affiliations

  1. Alexander von Humboldt Institute for Internet and Society, Berlin, Germany

    Robin P. G. Tech

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Tech, R.P.G. (2018). Framework: Matching Signals with Complexities of High-Tech Startups. In: Financing High-Tech Startups. Springer, Cham. https://doi.org/10.1007/978-3-319-66155-1_6

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