1,106 research outputs found

    Water-Column Variability Assessment for Underway Profilers to Improve Efficiency and Accuracy of Multibeam Surveys

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    With the advent of underway profilers, sampling the water-column to obtain sound speed corrections is no longer a detriment to hydrographic survey efficiency. Instead, the challenge has become deciding how many casts are necessary to maintain a desired level of multibeam sounding accuracy, while not needlessly overworking the profiler. Ray tracing uncertainty analysis can determine in hindsight whether a particular sampling interval is adequate or not. Based on this methodology, an algorithm was developed to generate recommended sampling intervals based on successively acquired sound speed profiles, allowing the MVP to run in a “cruise-control” mode where the sampling interval is altered in response to changing oceanographic conditions. In collaboration with Rolls Royce, the algorithm was implemented in Python and loosely couples with the MVP controller software such that the recommended sampling interval can be adjusted without operator intervention. Integration of the software with the MVP controller was successfully tested aboard the NOAA Ship Ferdinand R. Hassler in September of 2012. Initial results from field trials and from analysis of existing data sets are presented

    On Virtue and Peace: Creating a Workplace Where People Can Flourish

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    Nationbuilders in less developed countries need to understand how Western legal systems with "property" at their center have materially accounted for Western prosperity and liberty, but legal definitions of property are so abstruse that explication of this vital concept is made difficult. This paper finds an historical definitional essence to property in the right to exclude and maintains that liberty and property both share this essential meaning. The problems of corporate governance are then placed in the context of the exclusionary concept of property/liberty.

    Not too close, not too far: testing the Goldilocks principle of ‘optimal’ distance in innovation networks

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    This is an Accepted Manuscript version of the following article, accepted for publication in Industry and Innovation. Rune Dahl Fitjar, Franz Huber & AndrĂ©s RodrĂ­guez-Pose (2016) Not too close, not too far: testing the Goldilocks principle of ‘optimal’ distance in innovation networks, Industry and Innovation, 23:6, 465-487, DOI: 10.1080/13662716.2016.1184562. It is deposited under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.This paper analyses how the formation of collaboration networks affects firm-level innovation by applying the ‘Goldilocks principle’. The ‘Goldilocks principle’ of optimal distance in innovation networks postulates that the best firm-level innovation results are achieved when the partners involved in the network are located at the ‘right’ distance, i.e. ‘not too close and not too far’ from one another, across non-geographical proximity dimensions. This principle is tested on a survey of 542 Norwegian firms conducted in 2013, containing information about firm-level innovation activities and key innovation partners. The results of the ordinal logit regression analysis substantiate the Goldilocks principle, as the most innovative firms are found among those that collaborate with partners at medium levels of proximity for all non-geographical dimensions. The analysis also underscores the importance of the presence of a substitution–innovation mechanism, with geographical distance problems being compensated by proximity in other dimensions as a driver of innovation, while there is no support for a potential overlap–innovation mechanism.acceptedVersio

    Contingent Payments in Procurement Interactions - Experimental Evidence

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    A chief objective of creating competition among suppliers is the procurement of higher quality goods at lower prices. When procuring non-standard goods, it is often difficult to write a complete specification of desired quality in the contract. A moral hazard arises when this quality is costly and determined by the supplier ex post to contracting. In an effort to mitigate this moral hazard, we introduce a correlated contingent payment contract. This contract is awarded through competitive bidding. The winning supplier’s payment is, according to a fixed probability, either the amount of their bid or a quality contingent amount that depends on the bid and an exogenous norm for how a seller and buyer split social surplus. We show, both theoretically and experimentally, there is a “Goldilocks” region for high quality to emerge in which the probability of quality contingent payment is large enough to reward high quality provision, but not too large to induce overly aggressive bidding. This optimal implementation only relies upon preferences for maximizing one’s own profit and the rationality of backward induction. A surprising experimental result is that suppliers earned positive economic profits within this region. We estimate a structural model of bounded rationality to show that risk aversion can explain this result. These results have managerial implications for the design of contingent payments in contracts

    Surplus Identification with Non-Linear Returns. ESRI WP522. December 2015

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    We present evidence from two experiments designed to quantify the impact of cognitive constraints on consumers' ability to identify surpluses. Participants made repeated forced-choice decisions about whether products conferred surpluses, comparing one or two plainly perceptible attributes against displayed prices. Returns to attributes varied in linearity, scale and relative weight. Despite the apparent simplicity of this task, in which participants were incentivised and able to attend fully to all relevant information, surplus identification was surprisingly imprecise and subject to systematic bias. Performance was unaffected by monotonic non-linearities in returns, but non-monotonic non-linearities reduced the likelihood of detecting a surplus. Regardless of the shape of returns, learning was minimal and largely confined to initial exposures. Although product value was objectively determined, participants exhibited biases previously observed in subjective discrete choice, suggesting common cognitive mechanisms. These findings have implications for consumer choice models and for ongoing attempts to account for cognitive constraints in applied microeconomic contexts

    Productivity Growth and Inflation - A Multi-Country Study

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    Ball and Moffitt (2001) present a theory implying that the gap between productivity and wage aspirations can shift the traditional Phillips Curve. We examine their theory within the OECD. The results show that there is no clear cross country evidence for the theory. Although Ball and Moffitt’s model works well in the U.S., it cannot, in general, be applied to other OECD countries. The time- varying NAIRU can better explain the economic performance for the OECD overall, and the UK in particular, during the late 1990s. In Germany, traditional Phillips Curve still kept its explanatory power during this period.

    Goldilocks and Journal Publication: Finding a Fit That\u27s Just Right

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    Getting your work published in journals in ways that will help to advance your scholarly record is a complex and multifaceted process. This article is written for early career researchers and graduate and postgraduate students, providing practical advice about what to consider when developing a research and publication profile and establishing yourself within a research community. It explains a range of criteria that are useful to consider when choosing the best journal “fit” for each publication and for your academic trajectory. We hope that considering the elements identified and explained in this article will help you to find a fit that is “just right” for each of your future publications
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