The Experts below are selected from a list of 216 Experts worldwide ranked by ideXlab platform
Guanwei Huang - One of the best experts on this subject based on the ideXlab platform.
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IEEM - Systematic Selection, Adaptation and Integration of Quality Management Methods into Quality Management Reporting
2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2018Co-Authors: Cosima Nadine Fitz, Guanwei HuangAbstract:The aim of this study is the systematic selection, adaptation, and integration of quality methods into the quality Management Reporting (QMR), in order to effectively support the author of the quality reports (Q-reporter). This paper focuses on the derivation of concrete steps for the process of preparing quality reports. For this purpose, especially methods from the quality Management (QM) area are analyzed with regard to their application within a phase of the QMR control loop. The present work considers one of the four fields of action of the QMR control loop to ensure the necessary detail depth. Thus, the focus is on the area of action ”Collecting and Evaluating”. A concrete procedure model is developed, and criteria for the assessment of analytical methods are derived from the requirements of the QMR and a method set is developed with these requirements.
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Systematic Selection, Adaptation and Integration of Quality Management Methods into Quality Management Reporting
2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2018Co-Authors: Cosima Nadine Fitz, Guanwei HuangAbstract:The aim of this study is the systematic selection, adaptation, and integration of quality methods into the quality Management Reporting (QMR), in order to effectively support the author of the quality reports (Q-reporter). This paper focuses on the derivation of concrete steps for the process of preparing quality reports. For this purpose, especially methods from the quality Management (QM) area are analyzed with regard to their application within a phase of the QMR control loop. The present work considers one of the four fields of action of the QMR control loop to ensure the necessary detail depth. Thus, the focus is on the area of action ”Collecting and Evaluating”. A concrete procedure model is developed, and criteria for the assessment of analytical methods are derived from the requirements of the QMR and a method set is developed with these requirements.
William Mcshea - One of the best experts on this subject based on the ideXlab platform.
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An Open Standard for Camera Trap Data
Biodiversity Data Journal, 2016Co-Authors: Tavis Forrester, Eric Fegraus, Beth Stern, Jonathan Palmer, Jorge Ahumada, Roland Kays, Patrick A Jansen, Timothy G. O'brien, William McsheaAbstract:Camera traps that capture photos of animals are a valuable tool for monitoring biodiversity. The use of camera traps is rapidly increasing and there is an urgent need for standardization to facilitate data Management, Reporting and data sharing. Here we offer the Camera Trap Metadata Standard as an open data standard for storing and sharing camera trap data, developed by experts from a variety of organizations. The standard captures information necessary to share data between projects and offers a foundation for collecting the more detailed data needed for advanced analysis. The data standard captures information about study design, the type of camera used, and the location and species names for all detections in a standardized way. This information is critical for accurately assessing results from individual camera trapping projects and for combining data from multiple studies for meta-analysis. This data standard is an important step in aligning camera trapping surveys with best practices in data-intensive science. Ecology is moving rapidly into the realm of big data, and central data repositories are becoming a critical tool and are emerging for camera trap data. This data standard will help researchers standardize data terms, align past data to new repositories, and provide a framework for utilizing data across repositories and research projects to advance animal ecology and conservation.
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An open standard for camera trap data
Biodiversity Data Journal, 2016Co-Authors: Tavis Forrester, Tim O'brien, Eric Fegraus, Beth Stern, Jonathan Palmer, Jorge Ahumada, Roland Kays, Patrick A Jansen, William McsheaAbstract:Camera traps that capture photos of animals are a valuable tool for monitoring biodiversity. The use of camera traps is rapidly increasing and there is an urgent need for standardization to facilitate data Management, Reporting and data sharing. Here we offer the Camera Trap Metadata Standard as an open data standard for storing and sharing camera trap data, developed by experts from a variety of organizations. The standard captures information necessary to share data between projects and offers a foundation for collecting the more detailed data needed for advanced analysis. The data standard captures information about study design, the type of camera used, and the location and species names for all detections in a standardized way. This information is critical for accurately assessing results from individual camera trapping projects and for combining data from multiple studies for metaanalysis. This data standard is an important step in aligning camera trapping surveys with best practices in dataintensive science. Ecology is moving rapidly into the realm of big data, and central data repositories are becoming a critical
Cosima Nadine Fitz - One of the best experts on this subject based on the ideXlab platform.
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IEEM - Systematic Selection, Adaptation and Integration of Quality Management Methods into Quality Management Reporting
2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2018Co-Authors: Cosima Nadine Fitz, Guanwei HuangAbstract:The aim of this study is the systematic selection, adaptation, and integration of quality methods into the quality Management Reporting (QMR), in order to effectively support the author of the quality reports (Q-reporter). This paper focuses on the derivation of concrete steps for the process of preparing quality reports. For this purpose, especially methods from the quality Management (QM) area are analyzed with regard to their application within a phase of the QMR control loop. The present work considers one of the four fields of action of the QMR control loop to ensure the necessary detail depth. Thus, the focus is on the area of action ”Collecting and Evaluating”. A concrete procedure model is developed, and criteria for the assessment of analytical methods are derived from the requirements of the QMR and a method set is developed with these requirements.
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Systematic Selection, Adaptation and Integration of Quality Management Methods into Quality Management Reporting
2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2018Co-Authors: Cosima Nadine Fitz, Guanwei HuangAbstract:The aim of this study is the systematic selection, adaptation, and integration of quality methods into the quality Management Reporting (QMR), in order to effectively support the author of the quality reports (Q-reporter). This paper focuses on the derivation of concrete steps for the process of preparing quality reports. For this purpose, especially methods from the quality Management (QM) area are analyzed with regard to their application within a phase of the QMR control loop. The present work considers one of the four fields of action of the QMR control loop to ensure the necessary detail depth. Thus, the focus is on the area of action ”Collecting and Evaluating”. A concrete procedure model is developed, and criteria for the assessment of analytical methods are derived from the requirements of the QMR and a method set is developed with these requirements.
Andreas Taschner - One of the best experts on this subject based on the ideXlab platform.
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Verhaltenswirkungen des Management Reporting
essentials, 2014Co-Authors: Andreas TaschnerAbstract:In der unternehmerischen Praxis stellen Berichte ein wesentliches Steuerungsinstrument dar, sie haben verhaltensbeeinflussende Wirkungen. Nicht alle Wirkungen sind aber von den Beteiligten auch beabsichtigt (intendiert). Management Reporting lost immer auch nicht intendierte (d. h. von den Beteiligten nicht beabsichtigte) Verhaltenswirkungen aus. Eine weitere Differenzierung kann danach getroffen werden, ob das ausgeloste Verhalten eher intuitiver bzw. affektiver Natur ist, oder ob es sich um bewusst gesteuertes, reflektiertes Verhalten des Betroffenen handelt. Daraus ergeben sich vier verschiedene Typen von Verhaltenswirkungen, welche naher dargestellt werden.
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Heuristiken im Management Reporting
Management Reporting für Praktiker, 2013Co-Authors: Andreas TaschnerAbstract:Der Mensch und seine naturlicherweise begrenzte Problemlosungskapazitat stellen eine Hauptursache fur Fehler im Management Reporting dar. Weil das Management Reporting eine komplexe Aufgabe darstellt, bedienen sich die Beteiligten einer Vielzahl von unbewussten Heuristiken. Diese Heuristiken werden zunachst in die Phasen des Management Reporting Prozesses eingeordnet und danach einzeln in Form von „Steckbriefen“ vorgestellt. Dabei wird vor allem auf mogliche Ausloser der Heuristiken und auf ihre Bedeutung fur das Management Reporting eingegangen.
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Der Mensch als Fehlerquelle im Management Reporting
Management Reporting für Praktiker, 2013Co-Authors: Andreas TaschnerAbstract:Betrachtet man das menschliche Informationsverhalten, muss man konstatieren: Ein „perfektes Gelingen“ (zumindest nach theoretischen Idealmasstaben) ist ausgeschlossen. Das perfekte menschliche Informationsverhalten ist nicht moglich. Diese fur das Management Reporting wichtige Erkenntnis wird in diesem Kapitel naher begrundet und dargestellt. Die begrenzte Rationalitat von Individuen wird begrundet und Heuristiken („Daumenregeln“) als an sich sinnvolle Strategie zum Umgang mit komplexen Situationen bei begrenzter Rationalitat vorgestellt. Vor- und Nachteile von Heuristiken werden beschrieben.
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Management Reporting als Teil des InformationsManagements
Management Reporting, 2012Co-Authors: Andreas TaschnerAbstract:Informationsubermittlung stellt einen zentralen Bestandteil des Informationsprozesses dar, wenn Informationsgewinnung und Informationsnutzung von unterschiedlichen Akteuren (d.h. arbeitsteilig) durchgefuhrt werden. Dies ist in Unternehmen regelmasig der Fall, weshalb die Weitergabe und Verteilung von Information zu einer zentralen Aufgabe des betrieblichen InformationsManagements wird. Management Reporting stellt ein wesentliches Instrument dieser innerbetrieblichen Informationsversorgung dar und ist damit ein wichtiger Baustein im betrieblichen Informationsprozess. In diesem Kapitel soll zunachst das Wesen des Management Reporting naher beschrieben werden, bevor danach seine einzelnen Gestaltungsdimensionen vorgestellt werden.
Tavis Forrester - One of the best experts on this subject based on the ideXlab platform.
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An Open Standard for Camera Trap Data
Biodiversity Data Journal, 2016Co-Authors: Tavis Forrester, Eric Fegraus, Beth Stern, Jonathan Palmer, Jorge Ahumada, Roland Kays, Patrick A Jansen, Timothy G. O'brien, William McsheaAbstract:Camera traps that capture photos of animals are a valuable tool for monitoring biodiversity. The use of camera traps is rapidly increasing and there is an urgent need for standardization to facilitate data Management, Reporting and data sharing. Here we offer the Camera Trap Metadata Standard as an open data standard for storing and sharing camera trap data, developed by experts from a variety of organizations. The standard captures information necessary to share data between projects and offers a foundation for collecting the more detailed data needed for advanced analysis. The data standard captures information about study design, the type of camera used, and the location and species names for all detections in a standardized way. This information is critical for accurately assessing results from individual camera trapping projects and for combining data from multiple studies for meta-analysis. This data standard is an important step in aligning camera trapping surveys with best practices in data-intensive science. Ecology is moving rapidly into the realm of big data, and central data repositories are becoming a critical tool and are emerging for camera trap data. This data standard will help researchers standardize data terms, align past data to new repositories, and provide a framework for utilizing data across repositories and research projects to advance animal ecology and conservation.
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An open standard for camera trap data
Biodiversity Data Journal, 2016Co-Authors: Tavis Forrester, Tim O'brien, Eric Fegraus, Beth Stern, Jonathan Palmer, Jorge Ahumada, Roland Kays, Patrick A Jansen, William McsheaAbstract:Camera traps that capture photos of animals are a valuable tool for monitoring biodiversity. The use of camera traps is rapidly increasing and there is an urgent need for standardization to facilitate data Management, Reporting and data sharing. Here we offer the Camera Trap Metadata Standard as an open data standard for storing and sharing camera trap data, developed by experts from a variety of organizations. The standard captures information necessary to share data between projects and offers a foundation for collecting the more detailed data needed for advanced analysis. The data standard captures information about study design, the type of camera used, and the location and species names for all detections in a standardized way. This information is critical for accurately assessing results from individual camera trapping projects and for combining data from multiple studies for metaanalysis. This data standard is an important step in aligning camera trapping surveys with best practices in dataintensive science. Ecology is moving rapidly into the realm of big data, and central data repositories are becoming a critical