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Vezetéstudomány
Article . 2019 . Peer-reviewed
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Characteristics and challenges of the Hungarian startup ecosystem

Authors: Jáki, Erika; Molnár, Endre Mihály; Kádár, Béla;

Characteristics and challenges of the Hungarian startup ecosystem

Abstract

In this paper, the authors’ aim to explore the Hungarian startup ecosystem on both the demand side and the supply side. To achieve this, they conducted a survey reaching both startups and investors. In the survey, the authors observed features of Hungarian startup entrepreneurs such as gender, age, education, previous entrepreneurial experience, and their motivation for establishing startup companies. Furthermore, the authors focused on financing, location, target markets, employment, and operational difficulties. They also examined the attitudes of the startupers and of the ecosystem’s other actors such as venture capital investors, incubator houses, accelerators, corporations and co-working spaces regarding various characteristics of the ecosystem. They deemed cooperation between the members of the ecosystem, international relations and the opportunity for startupers to start again after a failed startup to be the most important characteristics. They perceived the strongest characteristic of the Hungarian ecosystem to be social events (meetups and networking), while the most problematic: the opportunity to start again after failing a startup and the required level of entrepreneurial administration.

Country
Hungary
Keywords

HD30.2 Knowledge management. Information technology management / Tudásmenedzsment

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    14
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
gold