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Außerbilanzielle Korrekturen
(2012)
Die Entwicklungen der Rechtsinformatik und des Informationsrechts zeigen, dass diese Disziplinen aktuell vor der Herausforderung stehen, eine interdisziplinäre Zusammenarbeit zwischen ihnen und anderen Disziplinen zu etablieren. Unterschiedliche Publikationskulturen erschweren die Erreichung dieses Ziels. Forschungsportale stellen themenspezifische, internetbasierte Verzeichnisse dar, die bereits vorhandene Informationen strukturiert zugänglich machen. Sie können die Beziehungen zwischen den Disziplinen fördern, indem sie bereits erzielte Arbeitsergebnisse disziplinenübergreifend bekannt machen und dadurch dazu beitragen, Synergiepotenziale und mögliche Kooperationspartner zu identifizieren.
We introduce a new way to measure the forecast effort that analysts devote to their earnings forecasts by measuring the analyst's general effort for all covered firms. While the commonly applied effort measure is based on analyst behaviour for one firm, our measure considers analyst behaviour for all covered firms. Our general effort measure captures additional information about analyst effort and thus can identify accurate forecasts. We emphasise the importance of investigating analyst behaviour in a larger context and argue that analysts who generally devote substantial forecast effort are also likely to devote substantial effort to a specific firm, even if this effort might not be captured by a firm-specific measure. Empirical results reveal that analysts who devote higher general forecast effort issue more accurate forecasts. Additional investigations show that analysts' career prospects improve with higher general forecast effort. Our measure improves on existing methods as it has higher explanatory power regarding differences in forecast accuracy than the commonly applied effort measure. Additionally, it can address research questions that cannot be examined with a firm-specific measure. It provides a simple but comprehensive way to identify accurate analysts.
Providing healthcare services frequently involves cognitively demanding tasks, including diagnoses and analyses as well as complex decisions about treatments and therapy. From a global perspective, ethically significant inequalities exist between regions where the expert knowledge required for these tasks is scarce or abundant. One possible strategy to diminish such inequalities and increase healthcare opportunities in expert-scarce settings is to provide healthcare solutions involving digital technologies that do not necessarily require the presence of a human expert, e.g., in the form of artificial intelligent decision-support systems (AI-DSS). Such algorithmic decision-making, however, is mostly developed in resource- and expert-abundant settings to support healthcare experts in their work. As a practical consequence, the normative standards and requirements for such algorithmic decision-making in healthcare require the technology to be at least as explainable as the decisions made by the experts themselves. The goal of providing healthcare in settings where resources and expertise are scarce might come with a normative pull to lower the normative standards of using digital technologies in order to provide at least some healthcare in the first place. We scrutinize this tendency to lower standards in particular settings from a normative perspective, distinguish between different types of absolute and relative, local and global standards of explainability, and conclude by defending an ambitious and practicable standard of local relative explainability.
CO2-Emissionshandel
(2006)
Innovationstätigkeit im Verarbeitenden Gewerbe und Bergbau hat zugenommen / Janz, N. und k. Voß
(1999)
Innovationsreport Großhandel
(1997)
Outlier Robust Estimation of an Euler Equation Investment Model with German Firm Level Panel Data
(2002)
Goal Driven Business Modelling - Supporting Decision Making within Information System Development
(1995)
Der folgende Bericht fasst Erfahrungen zusammen, die in großen Entwicklungsprojekten der Firma Ericsson über mehrere Jahre gesammelt wurden. Ziel war dabei nicht, agile Methoden und Techniken einzusetzen - Agilität war zu der Zeit noch kein Hype-Thema. Vielmehr wurden Schwächen in den eigenen Projekten identifiziert und verbessert. Der Erfahrungsbericht vergleicht Verbesserungen in diesen Projekten mit den Ansätzen der agilen Entwicklung. Als Ergebnis werden folgende Punkte festgehalten: Erstens, einige Praktiken und Werte der agilen Entwicklung lassen sich auch in Großprojekten einsetzen. Zweitens, bei der Skalierung für Großprojekte werden diese Praktiken langsamer getaktet. Drittens, agile Entwicklung ist nicht nur eine Reihe von Praktiken und Werten, agile Entwicklung ist vielmehr auch eine Frage der Entwicklungs- und Projektkultur. Diese kulturelle Änderung lässt sich in Großprojekten deutlich langsamer umsetzen.
Info-Web-Generation
(2004)
Prioritization is an essential task within requirements engineering to cope with complexity and to establish focus properly. The 3rd Workshop on Requirements Prioritization for customer oriented Software Development (RePriCo’12) focused on requirements prioritization and adjacent themes in the context of customer oriented development of bespoke and standard software. Five submissions have been accepted for the proceedings and for presentation. The report summarizes and points out key findings.
Leitfaden zur Arbeitsorganisation : Wie die Stahlindustrie traditionelle Arbeitsformen überwindet
(1992)