7,188 research outputs found

    Assessment and facilitation of diagnostic competences with simulations in medical education

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    Towards a Better Understanding of IT Cost Drivers of Asset Management Companies

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    Effectiveness and even more efficiency are substantial indicators of information technology (IT) performance management. Evaluation of an organisation’s IT performance relies heavily on benchmarking with other organisations. The comparability of IT key performance indicators (KPIs) is critical for resilient benchmarking results. KPI suggestions of established frameworks remain very generic. They are incapable of taking individual characteristics of different business models into account and impede, therefore, a sophisticated benchmarking. Such an occurrence can be observed frequently, especially in the environment of business groups. In the case of one leading international financial service business group, we analysed this problem and applied action research to identify IT cost drivers and develop specific KPIs for the group IT performance management. This article provides insights into a real-life example of evaluating IT performance and suggests a set of KPIs for IT cost efficiency benchmarking among asset management firms within a business group considering the firm’s different business models

    Sustained spending and persistent response: a new look at long-term marketing profitability.

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    An intuitively appealing decision rule is to allocate a company's scarce marketing resources where they have the greatest long-term benefit. This principle, however, is easier to accept than it is to execute, because long-run effects of marketing spending are difficult to estimate. We address this problem by examining the over-time behavior of market response and marketing spending, and identify four commonly occurring strategic scenarios: business as usual, hysteresis in response, escalating expenditures and evolving-business practice. We explain and illustrate why each scenario can occur in practice, and describe its positive and negative consequences for long-term profitability.When good time-series data on revenue and marketing spending are available, it is possible to apply multivariate persistence measures to identify which of the four strategic scenarios is taking place. We apply these ideas to data from two major companies in the packaged-foods and pharmaceuticals industries. We observe several long-term marketing effect, some with profitable and some with unprofitable consequences, and offer recommendations for each case.We conclude that high-quality databases along with modern time-series methods can be instrumental in extracting vital long-term marketing-effectiveness information from readily available data. Therefore, managing marketing resources with long-run performance in mind need no longer be a pure act of faith on behalf of the executive. We hope that this and future work will contribute toward an improved allocation of scarce marketing resources in our companies.Marketing; Profitability;

    Model-based monitoring and diagnosis of a satellite-based instrument

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    For about a decade model-based reasoning has been propounded by a number of researchers. Maybe one of the most convincing arguments in favor of this kind of reasoning has been given by Davis in his paper on diagnosis from first principles (Davis 1984). Following their guidelines we have developed a system to verify the behavior of a satellite-based instrument GOME (which will be measuring Ozone concentrations in the near future (1995)). We start by giving a description of model-based monitoring. Besides recognizing that something is wrong, we also like to find the cause for misbehaving automatically. Therefore, we show how the monitoring technique can be extended to model-based diagnosis

    Complete Issue 22, 2000

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    Watching people fail

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    Learning to Diagnose with Simulations

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    This open access book presents 8 novel approaches to measure and improve diagnostic competences with simulation. The book compares the effects of interventions on these diagnostic competences in both teacher and medical education. It includes analyses showing that important aspects of diagnostic competences and effects of instructional interventions aiming to facilitate them are comparable for teachers and doctors. Through closely analyzing projects from medical education, mathematics education, biology education, and psychology, the reader is presented with multiple options for interventions that may be used in each of the subject areas and the improvements in diagnostic skills that could be expected from each simulation. The book concludes with an outline of promising future research on the use of simulations to facilitate professional competences in higher education in general, and for the advancement of diagnostic competencies in particular. This is an open access book
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