LEADER 01506nam--2200493---450 001 990000377940203316 005 20180308150856.0 010 $a88-420-3576-9 035 $a0037794 035 $aUSA010037794 035 $a(ALEPH)000037794USA01 035 $a0037794 100 $a20010328d1990----km-y0itay0103----ba 101 $aita 105 $a||||||||001yy 200 1 $aAffetti$enatura e sviluppo delle relazioni interpersonali$fG. 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Weißenberger, Christoph Gehrig 205 $a1st, New ed. 210 $aFrankfurt a.M$cPH02$d2018 215 $a1 online resource (370 p.)$c, EB00 225 0 $aControlling & Business Accounting$v2 300 $aPeter Lang GmbH, Internationaler Verlag der Wissenschaften 311 08$a3-631-75140-0 327 $aAus dem Inhalt: Konzeption eines strategischen Controllings - Anwendungssystemunterstu?tzung fu?r das strategische Controlling - Empirische Erkenntnisse zur Gestaltung des strategischen Controllings und zum Reifegrad der verwendeten Anwendungssysteme in deutschen Großunternehmen - Aufgaben und Instrumente des strategischen Controllings - Effizienzsteigerung des strategischen Controllings - Rollenversta?ndnis strategischer Controller. 330 $aStrategisches Controlling - nur wenige Schlagworte der Betriebswirtschaftslehre zeichnen sich in vergleichbarem Maße durch ein Nebeneinander von großer Beliebtheit und mangelnder inhaltlicher Konkretisierung aus. Es stellt sich somit die Frage, wie eine strategische Controllingkonzeption konkret zu gestalten ist, um fu?r die zahlreichen Problemfelder der strategischen Unternehmensfu?hrung Lo?sungsansa?tze zu bieten. Christoph Gehrig untersucht in seiner Arbeit daru?ber hinaus, wie das strategische Controlling durch den Einsatz moderner Anwendungssysteme effizienter gestaltet werden kann. Durch die Analyse des State of the Art des anwendungssystemgestu?tzten strategischen Controllings in deutschen Großunternehmen verbindet die Arbeit sachlich-analytische und empirische Forschung. Das Buch richtet sich an Dozenten und Studenten der Betriebswirtschaftslehre mit den Schwerpunkten Unternehmensfu?hrung und Controlling und an Fu?hrungskra?fte der Unternehmenspraxis, die sich mit der Ausgestaltung eines strategischen Controllings zur Entscheidungsunterstu?tzung des Top-Managements vertiefend befassen. 517 $aAnwendungssystemgestuetztes strategisches Controlling 606 $aAccounting$2bicssc 610 $aAnwendungssysteme 610 $aAnwendungssystemgestütztes 610 $aControlling 610 $aempirische 610 $aErkenntnisse 610 $aGehrig 610 $aKonzeption 610 $aRechnungscontrolling 610 $astrategisches 610 $astrategisches Controlling 615 7$aAccounting 700 $aGehrig$b Christoph$4auth$01322875 702 $aWeißenberger$b Barbara E$4edt 702 $aGehrig$b Christoph$4aut 801 0$bPH02 801 1$bPH02 906 $aBOOK 912 $a9910563199903321 996 $aAnwendungssystemgestu?tztes strategisches Controlling$94174941 997 $aUNINA LEADER 04773nam 2201189z- 450 001 9910595070103321 005 20220916 035 $a(CKB)5680000000080829 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/92046 035 $a(oapen)doab92046 035 $a(EXLCZ)995680000000080829 100 $a20202209d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aRemote Sensing of Natural Hazards 210 $aBasel$d2022 215 $a1 online resource (314 p.) 311 08$a3-0365-4308-2 311 08$a3-0365-4307-4 330 $aEach year, natural hazards such as earthquakes, cyclones, flooding, landslides, wildfires, avalanches, volcanic eruption, extreme temperatures, storm surges, drought, etc., result in widespread loss of life, livelihood, and critical infrastructure globally. With the unprecedented growth of the human population, largescale development activities, and changes to the natural environment, the frequency and intensity of extreme natural events and consequent impacts are expected to increase in the future.Technological interventions provide essential provisions for the prevention and mitigation of natural hazards. The data obtained through remote sensing systems with varied spatial, spectral, and temporal resolutions particularly provide prospects for furthering knowledge on spatiotemporal patterns and forecasting of natural hazards. The collection of data using earth observation systems has been valuable for alleviating the adverse effects of natural hazards, especially with their near real-time capabilities for tracking extreme natural events. Remote sensing systems from different platforms also serve as an important decision-support tool for devising response strategies, coordinating rescue operations, and making damage and loss estimations.With these in mind, this book seeks original contributions to the advanced applications of remote sensing and geographic information systems (GIS) techniques in understanding various dimensions of natural hazards through new theory, data products, and robust approaches. 606 $aGeography$2bicssc 606 $aResearch and information: general$2bicssc 610 $aABI 610 $aaerial image 610 $aagriculture 610 $aautomatic landslide detection 610 $aBangladesh 610 $aBRT 610 $aCART 610 $aclimate change 610 $aclimate migrants 610 $aconvolutional neural networks 610 $adamage assessment 610 $adeep learning 610 $aDhaka 610 $adigital elevation model 610 $adisaster impact 610 $adrought 610 $aearthquake 610 $aensemble models 610 $aflash flood 610 $aflood mapping 610 $aflooding 610 $aforest ecosystems 610 $ageohydrological model 610 $agroundwater 610 $aice jam 610 $aice storm 610 $aInSAR 610 $aInSAR time series 610 $aK-Nearest Neighbor 610 $aland subsidence and rebound 610 $aland use and land cover 610 $alandslide 610 $alandslide deformation 610 $alandslide susceptibility 610 $alandslides 610 $alogistic regression 610 $amachine learning models 610 $amodified frequency ratio 610 $aMODIS 610 $amonitoring and prediction 610 $aMulti-Layer Perceptron 610 $anaive Bayes tree 610 $anatural hazards 610 $aNDVI 610 $anight-time light data 610 $aNUAE 610 $aOBIA 610 $aordinal regression 610 $aPBA 610 $aperi-urbanization 610 $apost-disaster recovery 610 $arandom forest 610 $aRandom Forest 610 $arandom forests 610 $arapid mapping 610 $aremote sensing 610 $areservoir water level 610 $aSentinel-1 610 $asequential estimation 610 $asnowmelt 610 $asupervised classification 610 $aSupport Vector Machine 610 $aThree Gorges Reservoir area (China) 610 $auncertainty 610 $aurban growth boundary demarcation 610 $avalidation 610 $aVIIRS 615 7$aGeography 615 7$aResearch and information: general 700 $aAhmed$b Bayes$4edt$01332322 702 $aAlam$b Akhtar$4edt 702 $aAhmed$b Bayes$4oth 702 $aAlam$b Akhtar$4oth 906 $aBOOK 912 $a9910595070103321 996 $aRemote Sensing of Natural Hazards$93040829 997 $aUNINA LEADER 05140nam 22008295 450 001 9910767524303321 005 20251226203720.0 010 $a1-280-96937-7 010 $a9786610969371 010 $a3-540-70945-2 024 7 $a10.1007/978-3-540-70945-9 035 $a(CKB)1000000000490285 035 $a(EBL)3061675 035 $a(SSID)ssj0000288416 035 $a(PQKBManifestationID)11231399 035 $a(PQKBTitleCode)TC0000288416 035 $a(PQKBWorkID)10373192 035 $a(PQKB)11165306 035 $a(DE-He213)978-3-540-70945-9 035 $a(MiAaPQ)EBC3061675 035 $a(MiAaPQ)EBC6709769 035 $a(Au-PeEL)EBL6709769 035 $a(PPN)123160383 035 $a(EXLCZ)991000000000490285 100 $a20100301d2007 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAgent-Oriented Software Engineering VII $e7th International Workshop, AOSE 2006, Hakodate, Japan, May 8, 2006, Revised and Invited Papers /$fedited by Lin Padgham, Franco Zambonelli 205 $a1st ed. 2007. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007. 215 $a1 online resource (235 p.) 225 1 $aProgramming and Software Engineering,$x2945-9168 ;$v4405 300 $aDescription based upon print version of record. 311 08$a3-540-70944-4 320 $aIncludes bibliographical references and index. 327 $aModelling and Design of Agent Systems -- An Agent-Environment Interaction Model -- Allocating Goals to Agent Roles During MAS Requirements Engineering -- An Aspect-Oriented Modeling Framework for Multi-Agent Systems Design -- Modelling Open Agent Systems -- Extending UML Sequence Diagrams to Model Agent Mobility -- Applying the Governance Framework Technique to Promote Maintainability in Open Multi-Agent Systems -- Designing Institutional Multi-Agent Systems -- Formal Reasoning About Designs -- Modeling Mental States in the Analysis of Multiagent Systems Requirements -- Observed-MAS: An Ontology-Based Method for Analyzing Multi-Agent Systems Design Models -- Using Risk Analysis to Evaluate Design Alternatives -- Testing, Debugging and Evolvability -- SUNIT: A Unit Testing Framework for Test Driven Development of Multi-Agent Systems -- Monitoring Group Behavior in Goal-Directed Agents Using Co-efficient Plan Observation -- Evaluating a Model Driven Development Toolkit for Domain Experts to Modify Agent Based Systems -- Building the Core Architecture of a NASA Multiagent System Product Line. 330 $aSoftware architectures that contain many dynamically interacting components, each with their own thread of control, and engaging in complex coordination protocols, are difficult to correctly and efficiently engineer. Agent-oriented modelling techniques are important for supporting the design and development of such applications. This book provides a diverse and interesting overview of the work that is currently being undertaken by a growing number of researchers and research groups in the area of Agent-Oriented Software Engineering. The papers present leading edge research in this field, which is of critical importance in facilitating industry take-up of powerful agent technologies. This volume constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Agent-Oriented Software Engineering, AOSE 2006, held in Hakodate, Japan, in May 2006 as part of AAMAS 2006. The 13 revised full papers were carefully selected from numerous submissions during two rounds of reviewing and improvement and have been complemented by invited papers from leading researchers in the field. 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