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Using data from the German Socio-Economic Panel Study (GSOEP), we analyze whether necessity entrepreneurs differ from opportunity entrepreneurs in terms of self-employment duration. Using univariate statistics, we find that opportunity entrepreneurs remain in self-employment longer than necessity entrepreneurs. However, after controlling for the entrepreneurs' education in the professional area where they start their venture, this effect is no longer significant. We therefore conclude that the difference observed is not an original effect but rather is due to selection. We then go on to discuss the implications of our findings for entrepreneurship-policy making, and give suggestions to improve governmental start-up programs.

Ein Großteil der Neugründungen in Deutschland ist auf staatliche Förderung von Existenzgründern zurückzuführen. Dieser Anteil hat sich nach Einführung des als "Ich-AG" bekannten Existenzgründungszuschusses Anfang 2003 stark erhöht. Die Erfolgsfaktorenforschung hat diese Form von Gründungen bislang jedoch wenig untersucht. Im Rahmen einer großzahligen Befragung von geförderten Existenzgründern untersucht dieser Beitrag die Erfolgsdeterminanten solcher geförderter Existenzgründungen. Die Ergebnisse der Analyse zeigen, dass der Gewinn aus der Existenzgründung bei älteren Gründern und bei Gründern mit einer langen Phase der Arbeitslosigkeit vor der Gründung seltener beziehungsweise erst später zur Bestreitung des Lebensunterhalts ausreicht. Dies gilt auch für Franchisegründungen und für Gründungen durch Frauen. In Bezug auf Bildungsvariablen, Gründungserfahrung und Teamgründungen im Vergleich zu Einzelgründungen wurde kein Effekt gefunden. Vorhandene Branchenerfahrung wirkt sich hingegen positiv auf den Erfolg der Gründung aus, Gründungs- und Führungserfahrung dagegen nicht. Die Implikationen unserer Ergebnisse für die Entrepreneurship-Forschung sowie für die Entrepreneurship-Praxis werden diskutiert. Herausforderungen aus Sicht der Gründungspolitik werden aufgezeigt.;A large number of new ventures in Germany are undertaken due to government aid. With the introduction of the "Ich-AG" or "me-plc" in January 2003, this share has increased strongly. Entrepreneurship research so far has said very little about the success and the determinants of success of these types of start-ups. With this study, we aim to close this gap. We analyze the success and the determinants of success of these new ventures in a large scale survey of founders that have received governmental aid for their start-up. Our results show that the income generated by the venture is less likely to cover the costs of living in particular for elderly founders and for those founders that have experienced a long period of unemployment before they started their venture. This finding is also true for new ventures founded by women as well as for franchise start-ups. As concerns formal education, founder experience, and the fact whether the venture is founded by a team or not no significant effects exist. Industry experience, however, has a significant positive effect on the success of the new venture whereas founding and management experience have no effect. We discuss the implications of our findings from a perspective of entrepreneurship research as well as from a perspective of governmental start-up policy.

Open networks give actors non-redundant information that is diverse, while closed networks offer redundant information that is easier to interpret. Integrating arguments about network structure and the similarity of actors' knowledge, we propose two types of network configurations that combine diversity and ease of interpretation. Closed-diverse networks offer diversity in actors' knowledge domains and shared third-party ties to help in interpreting that knowledge. In open-specialized networks, structural holes offer diversity, while shared interpretive schema and overlap between received information and actors' prior knowledge help in interpreting new information without the help of third parties. In contrast, actors in open-diverse networks suffer from information overload due to the lack of shared schema or overlapping prior knowledge for the interpretation of diverse information, and actors in closed-specialized networks suffer from overembeddedness because they cannot access diverse information. Using CrunchBase data on early-stage venture capital investments in the U.S. information technology sector, we test the effect of investors' social capital on the success of their portfolio ventures. We find that ventures have the highest chances of success if their syndicating investors have either open-specialized or closed-diverse networks. These effects are manifested beyond the direct effects of ventures' or investors' quality and are robust to controlling for the possibility that certain investors could have chosen more promising ventures at the time of first funding.