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Small-World Networks, Absorptive Capacity, and Firm Performance: Evidence from the U.S
- Venture Capital Industry,” International Journal of Strategic Change Management 4(2
, 2012
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their thoughtful comments and James Cheng and Jonathan Haynes for their help in data collection. We are responsible for any remaining errors.
Net City: How Co-invention Networks Shape Inventive Productivity in U.S. Cities
"... The structure of social networks within and across cities influences urban creativity and the potential for new knowledge creation. We propose that cities achieve greater inventive creativity when there is (1) a short average social distance among inventors in a city, and (2) those inventors are hig ..."
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The structure of social networks within and across cities influences urban creativity and the potential for new knowledge creation. We propose that cities achieve greater inventive creativity when there is (1) a short average social distance among inventors in a city, and (2) those inventors are highly clustered. A short average social distance allows knowledge to circulate quickly across a larger pool of knowledge sources; clustering promotes trust, cooperation, and a more effective use of the acquired knowledge. At the same time, a short average social distance between a city’s inventors and knowledge sources outside the city will enrich and renew a city’s inventive network by facilitating faster access to fresh external knowledge. We find evidence to support these propositions in a longitudinal study of the inventive productivity of 331 U.S. cities
structure and growth
, 2013
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All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
131 PUBLICATIONS 1,211 CITATIONS SEE PROFILE
"... Mashups combine data and services provided by third parties through open APIs (such as Google Maps and Flickr), as well as internal data sources owned by users. The creation of mashups is supported by a complex ecosystem of interconnected data providers, mashup platforms, and users. In this paper, w ..."
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Mashups combine data and services provided by third parties through open APIs (such as Google Maps and Flickr), as well as internal data sources owned by users. The creation of mashups is supported by a complex ecosystem of interconnected data providers, mashup platforms, and users. In this paper, we examine the structure of the mashup ecosystem and its growth over time. Several observations follow from our analysis. First, we can conclude that while the number of new APIs and mashups over time follows a linear growth pattern, the distribution of mashups over APIs is not uniform but follows a power law. This implies that a small number of APIs provides the basis for the majority of mashups, and the other APIs are only used in certain application niches. Second, our analysis suggests that mashup platforms were introduced in response to the increasing complexity of mashups, as mashups evolved from one-feature mashups (widgets). Third, we observe that complementary relationships between open APIs are formed based on the position of the APIs in the ecosystem. The propensity of two APIs to be used together in the same mashup depends on the existing number of mashups to which they both contribute. The growth of the mashup ecosystem follows a pattern where keystone data providers or ‘powerful hubs ’ attract niche data providers as complementors, and the positions of keystones in the ecosystem are mutually reinforcing. 1.
Working Papers in Economics CORPORATE GOVERNANCE NETWORKS in TURKEY
, 2009
"... We provide an analysis of corporate governance networks implied by members of board of directors of 319 companies listed in Istanbul Stock Exchange (ISE) for the year 2007. Our configuration yields a bipartite network for which we provide small world statistics in addition to the usual measures comm ..."
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We provide an analysis of corporate governance networks implied by members of board of directors of 319 companies listed in Istanbul Stock Exchange (ISE) for the year 2007. Our configuration yields a bipartite network for which we provide small world statistics in addition to the usual measures commonly used in network analysis. We find that the networks have low density. However, within the giant component, the average path among agents is very low and the clustering coefficient is considerably high.
Teacher education's challenge of changing research relationships with schools
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Multiobjective Decision Making Policies and Coordination Mechanisms in Hierarchical Organizations: Results of an Agent-Based Simulation
"... This paper analyses how different coordination modes and different multiobjective decision making approaches interfere with each other in hierarchical organizations. The investigation is based on an agent-based simulation. We apply a modified NK-model in which we map multiobjective decision making ..."
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This paper analyses how different coordination modes and different multiobjective decision making approaches interfere with each other in hierarchical organizations. The investigation is based on an agent-based simulation. We apply a modified NK-model in which we map multiobjective decision making as adaptive walk on multiple performance landscapes, whereby each landscape represents one objective. We find that the impact of the coordination mode on the performance and the speed of performance improvement is critically affected by the selected multiobjective decision making approach. In certain setups, the performances achieved with the more complex multiobjective decision making approaches turn out to be less sensitive to the coordination mode than the performances achieved with the less complex multiobjective decision making approaches. Furthermore, we present results on the impact of the nature of interactions among decisions on the achieved performance in multiobjective setups. Our results give guidance on how to control the performance contribution of objectives to overall performance and answer the question how effective certain multiobjective decision making approaches perform under certain circumstances (coordination mode and interdependencies among decisions).
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"... learning Persistently learning: How small-world network imprints affect subsequent firm ..."
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learning Persistently learning: How small-world network imprints affect subsequent firm
The Rise and Fall of R&D Networks The Rise and Fall of R&D Networks
"... Drawing on a large database of publicly announced R&D alliances, we track the evolution of R&D networks in a large number of economic sectors over a long time period (1986-2009). Our main goal is to evaluate temporal and sectoral robustness of the main statistical properties of empirical R&a ..."
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Drawing on a large database of publicly announced R&D alliances, we track the evolution of R&D networks in a large number of economic sectors over a long time period (1986-2009). Our main goal is to evaluate temporal and sectoral robustness of the main statistical properties of empirical R&D networks. We study a large set of indicators, thus providing a more complete description of R&D networks with respect to the existing literature. We find that most network properties are invariant across sectors. In addition, they do not change when alliances are considered independently of the sectors to which partners belong. Moreover, we find that many properties of R&D networks are characterized by a rise-and-fall dynamics with a peak in the mid-nineties. Finally, we show that the properties of empirical R&D networks support predictions of the recent theoretical literature on R&D network formation. 1
Research Article Multiobjective Decision Making Policies and Coordination Mechanisms in Hierarchical Organizations: Results of an Agent-Based Simulation
"... Copyright © 2014 S. Leitner and F. Wall.This is an open access article distributed under theCreativeCommonsAttributionLicense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper analyses how different coordinationmod ..."
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Copyright © 2014 S. Leitner and F. Wall.This is an open access article distributed under theCreativeCommonsAttributionLicense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper analyses how different coordinationmodes and different multiobjective decisionmaking approaches interfere with each other in hierarchical organizations. The investigation is based on an agent-based simulation. We apply a modified NK-model in which we map multiobjective decision making as adaptive walk on multiple performance landscapes, whereby each landscape represents one objective. We find that the impact of the coordination mode on the performance and the speed of performance improvement is critically affected by the selected multiobjective decision making approach. In certain setups, the performances achieved with the more complex multiobjective decision making approaches turn out to be less sensitive to the coordination mode than the performances achieved with the less complex multiobjective decision making approaches. Furthermore, we present results on the impact of the nature of interactions among decisions on the achieved performance in multiobjective setups. Our results give guidance on how to control the performance contribution of objectives to overall performance and answer the question how effective certain multiobjective decision making approaches perform under certain circumstances (coordination mode and interdependencies among decisions). 1. Introduction and Research Question During the last decades, changes in environmental conditions
