Engineering and Management of IT-based Service Systems An Intelligent Decision-Making Support Systems Approach /

Intelligent 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 acade...

Full description

Corporate Author: SpringerLink (Online service)
Other Authors: Mora, Manuel. (Editor, http://id.loc.gov/vocabulary/relators/edt), Marx Gómez, Jorge. (Editor, http://id.loc.gov/vocabulary/relators/edt), Garrido, Leonardo. (Editor, http://id.loc.gov/vocabulary/relators/edt), Pérez, Francisco Cervantes. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Intelligent Systems Reference Library, 55
Subjects:
Online Access:https://doi.org/10.1007/978-3-642-39928-2
LEADER 04715nam a22005295i 4500
001 978-3-642-39928-2
003 DE-He213
005 20210617034308.0
007 cr nn 008mamaa
008 131019s2014 gw | s |||| 0|eng d
020 |a 9783642399282  |9 978-3-642-39928-2 
024 7 |a 10.1007/978-3-642-39928-2  |2 doi 
050 4 |a Q342 
072 7 |a UYQ  |2 bicssc 
072 7 |a TEC009000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Engineering and Management of IT-based Service Systems  |h [electronic resource] :  |b An Intelligent Decision-Making Support Systems Approach /  |c edited by Manuel Mora, Jorge Marx Gómez, Leonardo Garrido, Francisco Cervantes Pérez. 
250 |a 1st ed. 2014. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2014. 
300 |a XII, 232 p. 64 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 55 
505 0 |a Knowledge 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. 
520 |a Intelligent 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. 
650 0 |a Computational intelligence. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computational Intelligence.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/T11014 
650 2 4 |a Artificial Intelligence.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000 
700 1 |a Mora, Manuel.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Marx Gómez, Jorge.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Garrido, Leonardo.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Pérez, Francisco Cervantes.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642399299 
776 0 8 |i Printed edition:  |z 9783642399275 
776 0 8 |i Printed edition:  |z 9783662510377 
830 0 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 55 
856 4 0 |u https://doi.org/10.1007/978-3-642-39928-2 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)