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000723045 020__ $$a9783642399282$$qelectronic book
000723045 020__ $$a3642399282$$qelectronic book
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000723045 0247_ $$a10.1007/978-3-642-39928-2$$2doi
000723045 035__ $$aSP(OCoLC)ocn862974019
000723045 035__ $$aSP(OCoLC)862974019
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000723045 24500 $$aEngineering and management of IT-based service systems$$h[electronic resource] :$$ban intelligent decision-making support systems approach /$$cManuel Mora, Jorge Marx Gómez, Leonardo Garrido, Francisco Cervantes Pérez, editors.
000723045 264_1 $$aHeidelberg :$$bSpringer,$$c2014.
000723045 300__ $$a1 online resource (xii, 232 pages) :$$billustrations.
000723045 336__ $$atext$$btxt$$2rdacontent
000723045 337__ $$acomputer$$bc$$2rdamedia
000723045 338__ $$aonline resource$$bcr$$2rdacarrier
000723045 4901_ $$aIntelligent Systems Reference Library,$$x1868-4394 ;$$vvolume 55
000723045 504__ $$aIncludes bibliographical references.
000723045 5050_ $$aKnowledge Management in ITSM: Applying the DIKW Model -- IT Governance Practice in a Malaysian Public Institute of Higher Learning and Intelligent Decision Making Support System Solution -- DSS based IT Service Support Process Reengineering using ITIL: A Case Study -- Managing Cloud Services with IT Service Management practices -- Towards semantic support for business process integration Roberto -- Integrating ERP with Negotiation tools in Supply Chain -- Adaptive Applications: Definition and Usability in IT-based Service Systems Management -- Attitude-based Consensus Model for Heterogeneous Multi-criteria Large-Scale Group Decision Making: Application to IT-based Services Management -- Improving Decision-Making for Clinical Research and Health Administration -- Improving IT Service Management with Decision-Making Support Systems.
000723045 506__ $$aAccess limited to authorized users.
000723045 520__ $$aIntelligent Decision-Making Support Systems (i-DMSS) are specialized IT-based systems that support some or several phases of the individual, team, organizational or inter-organizational decision making process by deploying some or several intelligent mechanisms. This book pursues the following academic aims: (i) generate a compendium of quality theoretical and applied contributions in Intelligent Decision-Making Support Systems (i-DMSS) for engineering and management IT-based service systems (ITSS); (ii)? diffuse scarce knowledge about foundations, architectures and effective and efficient methods and strategies for successfully planning, designing, building, operating, and evaluating i-DMSS for ITSS, and (iii) create an awareness of, and a bridge between ITSS and i-DMSS academicians and practitioners in the current complex and dynamic engineering and management ITSS organizational. The book presents a collection of 11 chapters referring to relevant topics for both IT service systems and i-DMSS including: problems of selection of IT service providers, optimization of supply chain systems, IT governance decisions, clinical decision support, dynamic user-interface adaptation, re-engineering of processes, and generic decision problems. Advanced IT technologies used in some chapters are: fuzzy multi-criteria mechanisms, semantic processing, data mining processing, and rough sets. Other chapters report traditional DSS mechanisms but used or suggested to be used in innovative mode for IT service engineering and management tasks.
000723045 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 21, 2013).
000723045 650_0 $$aInformation technology$$xManagement.
000723045 650_0 $$aArtificial intelligence.
000723045 650_0 $$aDecision support systems.
000723045 7001_ $$aMora, Manuel,$$d1961-$$eeditor.
000723045 830_0 $$aIntelligent systems reference library ;$$vv.55.
000723045 852__ $$bebk
000723045 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-642-39928-2$$zOnline Access$$91397441.1
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000723045 980__ $$aBIB
000723045 982__ $$aEbook
000723045 983__ $$aOnline
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