Young, Restless and Creative: Openness to Disruption and Creative Innovations
Daron Acemoglu, Ufuk Akcigit, Murat Alp Celik
NBER Working Paper,
No. 19894,
2015
Abstract
This paper argues that openness to new, unconventional and disruptive ideas has a first-order impact on creative innovations—innovations that break new ground in terms of knowledge creation. After presenting a motivating model focusing on the choice between incremental and radical innovation, and on how managers of different ages and human capital are sorted across different firms with different degrees of openness to disruption, we provide firm-level, patent level and cross-country evidence consistent with this pattern. Our measures of creative innovations proxy for innovation quality (average number of citations per patent) and creativity (fraction of superstar innovators, the likelihood of a very high number of citations, and generality of patents). Our main proxy for openness to disruption is the age of the manager - based on the idea that only companies or societies open to such disruption will allow the young to rise up within the hierarchy. Using this proxy at the firm, patent and country level, we present robust evidence that openness to disruption is associated with more creative innovations, but we also show that once the effect of the sorting of young managers to firms that are more open to disruption is factored in, the (causal) impact of manager age on creative innovations is small.
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On the Trail of Core–periphery Patterns in Innovation Networks: Measurements and New Empirical Findings from the German Laser Industry
Wilfried Ehrenfeld, Toralf Pusch, Muhamed Kudic
Annals of Regional Science,
No. 1,
2015
Abstract
It has been frequently argued that a firm’s location in the core of an industry’s innovation network improves its ability to access information and absorb technological knowledge. The literature has still widely neglected the role of peripheral network positions for innovation processes. In addition to this, little is known about the determinants affecting a peripheral actors’ ability to reach the core. To shed some light on these issues, we have employed a unique longitudinal dataset encompassing the entire population of German laser source manufacturers (LSMs) and laser-related public research organizations (PROs) over a period of more than two decades. The aim of our paper is threefold. First, we analyze the emergence of core–periphery (CP) patterns in the German laser industry. Then, we explore the paths on which LSMs and PROs move from isolated positions toward the core. Finally, we employ non-parametric event history techniques to analyze the extent to which organizational and geographical determinates affect the propensity and timing of network core entries. Our results indicate the emergence and solidification of CP patterns at the overall network level. We also found that the paths on which organizations traverse through the network are characterized by high levels of heterogeneity and volatility. The transition from peripheral to core positions is impacted by organizational characteristics, while an organization’s geographical location does not play a significant role.
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Taking the First Step - What Determines German Laser Source Manufacturers' Entry into Innovation Networks?
Jutta Günther, Muhamed Kudic, Andreas Pyka
International Journal of Innovation Management,
No. 5,
2015
Abstract
Early access to technological knowledge embodied in the industry’s innovation network can provide an important competitive advantage to firms. While the literature provides much evidence on the positive effects of innovation networks on firms’ performance, not much is known about the determinants of firms’ initial entry into such networks. We analyze firms’ timing and propensity to enter the industry’s innovation network. More precisely, we seek to shed some light on the factors affecting the duration between firm founding and its first cooperation event. In doing so, we apply a unique longitudinal event history dataset based on the full population of German laser source manufacturers. Innovation network data stem from official databases providing detailed information on the organizations involved, subject of joint research and development (R&D) efforts as well as start and end times for all publically funded R&D projects between 1990 and 2010. Estimation results from a non-parametric event history model indicate that micro firms enter the network later than small-sized or large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of geographical determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
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Does Going Public Affect Innovation?
Shai B. Bernstein
Journal of Finance,
No. 4,
2015
Abstract
This paper investigates the effects of going public on innovation by comparing the innovation activity of firms that go public with firms that withdraw their initial public offering (IPO) filing and remain private. NASDAQ fluctuations during the book-building phase are used as an instrument for IPO completion. Using patent-based metrics, I find that the quality of internal innovation declines following the IPO, and firms experience both an exodus of skilled inventors and a decline in the productivity of the remaining inventors. However, public firms attract new human capital and acquire external innovation. The analysis reveals that going public changes firms' strategies in pursuing innovation.
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The Schumpeterian Growth Paradigm
Philippe Aghion, Ufuk Akcigit, Peter Howitt
Annual Review of Economics,
2015
Abstract
In this review, we argue that the Schumpeterian growth paradigm, which models growth as resulting from innovations involving creative destruction, sheds light on several aspects of the growth process that cannot be properly addressed by alternative theories. We focus on three important aspects for which Schumpeterian growth theory delivers predictions that distinguish it from other growth models, namely, (a) the role of competition and market structure, (b) firm dynamics, and (c) the relationship between growth and development.
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Friend or Foe? Crowdfunding Versus Credit when Banks are Stressed
Daniel Blaseg, Michael Koetter
IWH Discussion Papers,
No. 8,
2015
Abstract
Does bank instability push borrowers to use crowdfunding as a source of external finance? We identify stressed banks and link them to a unique, manually constructed sample of 157 new ventures seeking equity crowdfunding. The sample comprises projects from all German equity crowdfunding platforms since 2011, which we compare with 200 ventures that do not use crowdfunding. Crowdfunding is significantly more likely for new ventures that interact with stressed banks. Innovative funding is thus particularly relevant when conventional financiers are facing crises. But crowdfunded ventures are generally also more opaque and risky than new ventures that do not use crowdfunding.
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Netzwerke zwischen Hochschulen und Wirtschaft: Ein Mehrebenenansatz
Mirko Titze, Wilfried Ehrenfeld, Matthias Piontek, Gunnar Pippel
Schrumpfende Regionen - dynamische Hochschulen: Hochschulstrategien im demografischen Wandel,
2015
Abstract
Innovationen sind ein zentraler Treiber für das Wachstum von Unternehmen und Regionen. Es gibt daher eine breite Literatur, welche versucht, die Determinanten der Innovationsfähigkeit zu identifizieren. Kooperationen stellen einen wichtigen Faktor im Bereich Forschung und Entwicklung dar, da Verflechtungen den Fluss von Wissen zwischen den beteiligten Akteuren, wie beispielsweise Hochschulen und Unternehmen, unterstützen. Um derartige Verflechtungen abzubilden, haben sich in der Fachliteratur verschiedene Ansätze durchgesetzt. So können beispielsweise Informationen über Ko-Publikationen, Ko-Patente oder geförderte FuE-Vorhaben genutzt werden. Die verschiedenen Ansätze haben jedoch ihre individuellen Stärken und Schwächen. Zudem bilden sie jeweils verschiedene Facetten der Kooperation im Bereich Forschung und Entwicklung ab. Dieser Beitrag setzt an dieser Problematik an, indem er anhand von sechs Fallregionen einen Mehrebenenansatz vorstellt, welcher die genannten Ebenen von Kooperation zusammenführt. Dies ermöglicht, ein umfassendes Bild der Vernetzung in den Fallregionen zu erhalten.
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Wirtschaftspolitische Herausforderungen für Sachsen-Anhalt: Toleranz, Talente und Technologie
Oliver Holtemöller
Wirtschaft im Wandel,
No. 3,
2015
Abstract
Das Wirtschaftswachstum in Sachsen-Anhalt war in den vergangenen Jahren schwach. Der wichtigste Erklärungsfaktor ist die demographische Entwicklung; die Alterung und die Schrumpfung der Bevölkerung dämpfen die Anzahl der Erwerbstätigen. Es gibt eine Reihe von ökonomischen Ansatzpunkten für die Verbesserung der wirtschaftlichen Perspektiven. Dazu ist es erforderlich, die Ursachen der schwachen Entwicklung zu analysieren und ursachengerechte Maßnahmen zur Stärkung der wirtschaftlichen Leistungsfähigkeit zu ergreifen. Die größten Chancen bieten Investitionen in die Bildung, mehr Internationalität sowie die Förderung von Forschung und Innovation.
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30.04.2015 • 14/2015
Warum Sachsen-Anhalt das Wachstums-Schlusslicht ist
Die wirtschaftliche Entwicklung in Sachsen-Anhalt ist schwach. Eine Ursache liegt in der Demographie, die gegeben ist. Daneben gibt es drei Gründe, auf die das Land Einfluss hat: 1) zu wenig Investitionen in Bildung und Forschung, 2) zu wenig Internationalität und 3) zu wenig Innovation.
Oliver Holtemöller
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R&D Collaboration for Environmental Innovation
Gunnar Pippel
International Journal of Innovation Management,
No. 1,
2015
Abstract
FuE-Kooperationen spielen eine bedeutende Rolle bei der Schaffung von Umweltinnovationen. Allerdings zeigt uns die Literatur, dass FuE-Kooperationen nicht immer vorteilhaft sind. Daher ist eine differenziertere Betrachtungsweise des Einflusses von FuE-Kooperationen auf die Fähigkeit von Unternehmen, Umweltinnovationen hervorzubringen, notwendig. Das Papier untersucht diesen Zusammenhang und differenziert dabei nach verschiedenen Typen von Kooperationspartnern wie Kunden, Lieferanten, Universitäten, staatlichen Forschungseinrichtungen, Konkurrenten, Beratern und anderen Firmen innerhalb der gleichen Firmengruppe. Zudem wird der Frage nachgegangen, ob Diversität von Kooperationspartnern einen Einfluss auf die Umweltinnovationsfähigkeit von Unternehmen hat. Dabei werden Daten von 2337 deutschen Unternehmen für eine Regressionsanalyse verwendet. Deutlich wird, dass FuE-Kooperationen mit Kunden, Lieferanten, Universitäten, staatlichen Forschungseinrichtungen, Beratern und anderen Firmen innerhalb der gleichen Firmengruppe einen signifikant positiven Einfluss auf die Umweltinnovationsfähigkeit haben. FuE-Kooperationen mit Konkurrenten haben keinen signifikanten Einfluss. Die Diversität von FuE-Kooperationspartnern hat ebenfalls einen signifikant positiven Einfluss auf die Umweltinnovationsfähigkeit.
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