San Jose State University

About: San Jose State University is a education organization based out in San Jose, California, United States. It is known for research contribution in the topics: Computer science & Population. The organization has 8014 authors who have published 13716 publications receiving 349388 citations. The organization is also known as: San Jose State University & SJSU.

Tracking apex marine predator movements in a dynamic ocean

Abstract: Pelagic marine predators face unprecedented challenges and uncertain futures. Overexploitation and climate variability impact the abundance and distribution of top predators in ocean ecosystems. Improved understanding of ecological patterns, evolutionary constraints and ecosystem function is critical for preventing extinctions, loss of biodiversity and disruption of ecosystem services. Recent advances in electronic tagging techniques have provided the capacity to observe the movements and long-distance migrations of animals in relation to ocean processes across a range of ecological scales. Tagging of Pacific Predators, a field programme of the Census of Marine Life, deployed 4,306 tags on 23 species in the North Pacific Ocean, resulting in a tracking data set of unprecedented scale and species diversity that covers 265,386 tracking days from 2000 to 2009. Here we report migration pathways, link ocean features to multispecies hotspots and illustrate niche partitioning within and among congener guilds. Our results indicate that the California Current large marine ecosystem and the North Pacific transition zone attract and retain a diverse assemblage of marine vertebrates. Within the California Current large marine ecosystem, several predator guilds seasonally undertake north-south migrations that may be driven by oceanic processes, species-specific thermal tolerances and shifts in prey distributions. We identify critical habitats across multinational boundaries and show that top predators exploit their environment in predictable ways, providing the foundation for spatial management of large marine ecosystems.

Challenges of open innovation: the paradox of firm investment in open‐source software

Abstract: Open innovation is a powerful framework encompassing the generation, capture, and employment of intellectual property at the firm level. We identify three fundamental challenges for firms in applying the concept of open innovation: finding creative ways to exploit internal innovation, incorporating external innovation into internal development, and motivating outsiders to supply an ongoing stream of external innovations. This latter challenge involves a paradox, why would firms spend money on R&D efforts if the results of these efforts are available to rival firms? To explore these challenges, we examine the activity of firms in open source software to support their innovation strategies. Firms involved in open source software often make investments that will be shared with real and potential rivals. We identify four strategies firms employ — pooled R&D/product development, spinouts, selling complements and attracting donated complements — and discuss how they address the three key challenges of open innovation. We conclude with suggestions for how similar strategies may apply in other industries and offer some possible avenues for future research on open innovation.

More than Network Structure: How Knowledge Heterogeneity Influences Managerial Performance and Innovativeness

Abstract: This study deals with individual managerial performance, both overall and in generating innovation. While prior work has demonstrated a relationship between network structure and managerial performance, inadequate attention has been paid to network content. We consider several micro-social processes that might account for differences in managerial performance, taken from economic sociology and studies of managers' exploitation of their social networks and derived from work in psychology on the genesis of ideas. We compare the influence of these mechanisms on managerial performance using a sample of 106 middle managers in a European telecommunications company. Our findings suggest that while network structure matters, access to heterogeneous knowledge is of equal importance for overall managerial performance and of greater importance for innovation performance.

Predictions for the rates of compact binary coalescences observable by ground-based gravitational-wave detectors

Abstract: We present an up-to-date, comprehensive summary of the rates for all types of compact binary coalescence sources detectable by the initial and advanced versions of the ground-based gravitational-wave detectors LIGO and Virgo. Astrophysical estimates for compact-binary coalescence rates depend on a number of assumptions and unknown model parameters and are still uncertain. The most confident among these estimates are the rate predictions for coalescing binary neutron stars which are based on extrapolations from observed binary pulsars in our galaxy. These yield a likely coalescence rate of 100 Myr−1 per Milky Way Equivalent Galaxy (MWEG), although the rate could plausibly range from 1 Myr−1 MWEG−1 to 1000 Myr−1 MWEG−1 (Kalogera et al 2004 Astrophys. J. 601 L179; Kalogera et al 2004 Astrophys. J. 614 L137 (erratum)). We convert coalescence rates into detection rates based on data from the LIGO S5 and Virgo VSR2 science runs and projected sensitivities for our advanced detectors. Using the detector sensitivities derived from these data, we find a likely detection rate of 0.02 per year for Initial LIGO–Virgo interferometers, with a plausible range between 2 × 10−4 and 0.2 per year. The likely binary neutron–star detection rate for the Advanced LIGO–Virgo network increases to 40 events per year, with a range between 0.4 and 400 per year.

More than network structure: how knowledge heterogeneity influences managerial performance and innovativeness

Abstract: This study deals with individual managerial performance, both overall and in generating innovation. While prior work has demonstrated a relationship between network structure and managerial performance, inadequate attention has been paid to network content. We consider several micro-social processes that might account for differences in managerial performance, taken from economic sociology and studies of managers' exploitation of their social networks and derived from work in psychology on the genesis of ideas. We compare the influence of these mechanisms on managerial performance using a sample of 106 middle managers in a European telecommunications company. Our findings suggest that, while network structure matters, access to heterogeneous knowledge is of equal importance for overall managerial performance and of greater importance for innovation performance. Copyright © 2004 John Wiley & Sons, Ltd.