LEADER 02791nam 2200637Ia 450 001 9910967555303321 005 20250422193522.0 010 $a9786610479894 010 $a9781280479892 010 $a1280479892 010 $a9781845446789 010 $a184544678X 035 $a(CKB)1000000000003598 035 $a(EBL)232177 035 $a(OCoLC)61363511 035 $a(SSID)ssj0000465802 035 $a(PQKBManifestationID)11279875 035 $a(PQKBTitleCode)TC0000465802 035 $a(PQKBWorkID)10456989 035 $a(PQKB)11592550 035 $a(MiAaPQ)EBC232177 035 $a(Au-PeEL)EBL232177 035 $a(CaPaEBR)ebr10052644 035 $a(CaONFJC)MIL47989 035 $a(OCoLC)133165915 035 $a(EXLCZ)991000000000003598 100 $a20000815d2002 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHealth informatics /$fguest editors Tillal Eldabi, Zahir Irani and Ray J. Paul 205 $a1st ed. 210 $aBradford, England $cEmerald Group Publishing$dc2002 215 $a1 online resource (145 p.) 225 0 $aJournal of management in medicine ;$vv.16, no. 2/3 300 $aDescription based upon print version of record. 311 08$a9780861767090 311 08$a0861767098 327 $aContents; Abstracts and keywords; ERP implementation in rural health care; Enhancing clinical and management discourse in ICT implementation; The deferrable elective patient; Management demands on information and communication technology in process-oriented health-care organizations; A proposed approach for modelling health-care systems for understanding; Clinical ICT systems: augmenting case management; Evaluation of the impact of a PACS system on an intensive care unit; Implementation of intelligent decision support systems in health care 327 $aUsing geographical information systems for management of back-pain dataManaging managed care: the enabling role of IS/IT 330 $aEnterprise resource planning systems (ERPs) are systems offering theintegration of a number of organizational activities into one accountinginformation system (Romney and Steinbart, 2000). ERPs are a fast-growingsection of overall information technology (IT) investments, with annual salesestimated in excess of 21 billion (Brown, 2001). 606 $aHealth services administration 615 0$aHealth services administration. 676 $a025.0661 701 $aEldabi$b Tillal$01815466 701 $aIrani$b Zahir$01610698 701 $aPaul$b Ray J$01815467 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910967555303321 996 $aHealth informatics$94370457 997 $aUNINA LEADER 03820oam 2200865 c 450 001 9911026072903321 005 20260102090118.0 010 $a9783869623788 010 $a3869623780 010 $a9783869622682 010 $a3869622687 024 3 $a9783869623788 035 $a(CKB)4340000000246934 035 $a(MiAaPQ)EBC5303677 035 $a(Herbert von Halem Verlag)9783869623788 035 $a(Perlego)1066564 035 $a(EXLCZ)994340000000246934 100 $a20260102d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aComputational Social Science in the Age of Big Data $eConcepts, Methodologies, Tools, and Applications /$fCathleen M. Stützer, Martin Welker, Marc Egger 205 $a1st ed. 210 $aKöln$cHerbert von Halem Verlag$d2018 215 $a1 online resource (462 pages) $cillustrations 225 0 $aNeue Schriften zur Online-Forschung$v15 300 $a[1. Auflage] 311 08$a9783869622675 311 08$a3869622679 320 $aIncludes bibliographical references at the end of each chapters. 330 $aThe book Computational Social Science in the Age of Big Data highlights concepts, methodologies, tools, and applications of (automated) data-driven research in social science. The book focuses on the establishment of Computational Social Science (CSS) as an emerging field of research and application. International reputable authors represent the state-of-the-art in the field of CSS and cover several different aspects which are relevant for research and practice. The editors of the book accelerate the multidisciplinary access to the field of computational (social) science to facilitate a readable introduction for online researchers from academia and business. Der Sammelband ?Computational Social Science in the Age of Big Data? beschäftigt sich mit Konzepten, Methoden, Tools und Anwendungen (automatisierter) datengetriebener Forschung mit sozialwissenschaftlichem Hintergrund. Der Fokus des Bandes liegt auf der Etablierung der Computational Social Science (CSS) als aufkommendes Forschungs- und Anwendungsfeld. Es werden Beiträge international namhafter Autoren präsentiert, die forschungs- und praxisrelevante Themen dieses Bereiches besprechen. Die Herausgeber forcieren dabei einen interdisziplinären Zugang zum Feld, der sowohl Online-Forschern aus der Wissenschaft wie auch aus der angewandten Marktforschung einen Einstieg bietet. 410 0$aNeue Schriften zur Online-Forschung ;$v15. 606 $asozialwissenschaft 606 $adata-driven 606 $acomputational social science 606 $aOnline-Forschung 606 $aData Analysis 606 $aData Science 606 $aonline-research 606 $adatengetrieben 606 $aCSS 606 $apractice 606 $aresearch 606 $aMarktforschung 606 $aBig Data 606 $aForschung 606 $aData Mining 615 4$asozialwissenschaft 615 4$adata-driven 615 4$acomputational social science 615 4$aOnline-Forschung 615 4$aData Analysis 615 4$aData Science 615 4$aonline-research 615 4$adatengetrieben 615 4$aCSS 615 4$apractice 615 4$aresearch 615 4$aMarktforschung 615 4$aBig Data 615 4$aForschung 615 4$aData Mining 676 $a005.7 702 $aStützer$b Cathleen M$4edt 702 $aWelker$b Martin$4edt 702 $aEgger$b Marc$4edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911026072903321 996 $aComputational Social Science in the Age of Big Data$94433715 997 $aUNINA