19 research outputs found

    Competing for Endografts: North Dakota

    No full text

    Japan's Public Pension System in the Twenty-First Century.

    No full text
    In this paper, the author first briefly discuss the structure of Japan's public pension system, the history of that system, the raison d'etre of a public pension sustem, some of the defects in the current system, the origins of those defects, possible ways of alleviating those defects, future prospects for Japan's public pension system in the face of rapid population aging, and proposals for reforming Japan's public pension system.PUBLIC PENSION ; SOCIAL SECURITY ; JAPAN

    Agency affects adults', but not children's, guessing preferences in a game of chance

    No full text
    Adults and children have recently been shown to prefer guessing the outcome of a die roll after the die has been rolled (but remained out of sight) rather than before it has been rolled. This result is contrary to the predictions of the competence hypothesis (Heath & Tversky, 1991), which proposes that people are sensitive to the degree of their relative ignorance and therefore prefer to guess about an outcome it is impossible to know, rather than one that they could know, but do not. We investigated the potential role of agency in guessing preferences about a novel game of chance. When the experimenter controlled the outcome, we replicated the finding that adults and 5- to 6-year-old children preferred to make their guess after the outcome had been determined. For adults only, this preference reversed when they exerted control over the outcome about which they were guessing. The adult data appear best explained by a modified version of the competence hypothesis that highlights the notion of control or responsibility. It is proposed that potential attributions of blame are related to the guesser's role in determining the outcome. The child data were consistent with an imagination-based account of guessing preferences

    Supply chain management tools and methods

    No full text
    In today's business environment, manufacturers need to manage their enterprises as an inseparable part of a supply chain. Key to achieving this is the creation of an extended and integrated information system. In an attempt to find out what needs to be done to improve current supply chain methods and tools, the current research project 1) reviewed the literature to establish current approaches to Supply Chain Management (SCM); 2) identified what tools and methods are available; 3) categorised the current approaches to supply chain management and established a current practice SCM model; 4) identified the requirements for improved SCM; 5) produced an outline requirements specification for improved SCM. The research has made a number of contributions to knowledge. A literature survey on the subject of what SCM involves and what a SCM system is was carried out and was followed by the conclusions that existing software systems have not been classified and tested against the criteria of a true SCM system. A survey of existing SCM software solutions provided data for an analysis of what typical SCM applications include and concluded that a comprehensive SCM solution currently does not exist. That conclusion was verified by a survey based on SCM expert interviews. Three case studies were carried out that looked into different parts of the supply chain and demonstrated the significance of advanced SCM functionality for each one of them. The case studies also involved the design and implementation of a supply chain mapping tool and a supplier relationship management tool. Finally, a conceptual specification of an improved SCM system was developed. The research will be of interest to practitioners in the area of SCM that are looking for ideas to improve SCM procedures and namely, are looking into implementing or developing an already existing software system for SCM. It also suggests ideas for further research, which may be of interest to research students who are interested in the area of SCM

    Decision by sampling

    No full text
    We present a theory of decision by sampling (DbS) in which, in contrast with traditional models, there are no underlying psychoeconomic scales. Instead, we assume that an attribute’s subjective value is constructed from a series of binary, ordinal comparisons to a sample of attribute values drawn from memory and is its rank within the sample. We assume that the sample reflects both the immediate distribution of attribute values from the current decision’s context and also the background, real-world distribution of attribute values. DbS accounts for concave utility functions; losses looming larger than gains; hyperbolic temporal discounting; and the overestimation of small probabilities and the underestimation of large probabilities

    Decision by sampling

    No full text
    We present a theory of decision by sampling (DbS) in which, in contrast with traditional models, there are no underlying psychoeconomic scales. Instead, we assume that an attribute's subjective value is constructed from a series of binary, ordinal comparisons to a sample of attribute values drawn from memory and is its rank within the sample. We assume that the sample reflects both the immediate distribution of attribute values from the current decision's context and also the background, real-world distribution of attribute values. DbS accounts for concave utility functions; losses looming larger than gains; hyperbolic temporal discounting; and the overestimation of small probabilities and the underestimation of large probabilities
    corecore