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020 _a9783658110840
_9978-3-658-11084-0
024 7 _a10.1007/978-3-658-11084-0
_2doi
050 4 _aQA75.5-76.95
072 7 _aUT
_2bicssc
072 7 _aCOM069000
_2bisacsh
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.7
_223
100 1 _aG. Schuetz, Christoph.
_eauthor.
245 1 0 _aMultilevel Business Processes
_h[electronic resource] :
_bModeling and Data Analysis /
_cby Christoph G. Schuetz.
250 _a1st ed. 2015.
264 1 _aWiesbaden :
_bSpringer Fachmedien Wiesbaden :
_bImprint: Springer Vieweg,
_c2015.
300 _aXXIV, 232 p. 42 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aCore Metamodel for Multilevel Objects -- Multilevel Business Artifacts -- Hetero-Homogeneous Business Process Models -- Multilevel Business Process Automation -- Multilevel Business Process Intelligence.
520 _aChristoph G. Schuetz examines the conceptual modeling aspects of multilevel business processes without neglecting the implementation aspects. Furthermore, he investigates the advantages of hetero-homogeneous models for quantitative business process analysis. Multilevel models reflect the reality of many information systems. In this respect process-aware information systems are no exception. Multilevel models capture interdependencies between business processes at different organizational levels and allow for a convenient representation of business process variability which, in turn, facilitates the analysis of business processes across different organizational units. Contents Core Metamodel for Multilevel Objects Multilevel Business Artifacts Hetero-Homogeneous Business Process Models Multilevel Business Process Automation Multilevel Business Process Intelligence Target Groups Researchers and students in business informatics, computer science, and business administration. Business process management professionals The Author Christoph G. Schuetz is a postdoctoral researcher at the Department of Business Informatics - Data & Knowledge Engineering of the Johannes Kepler University Linz, Austria. His research interests include data warehousing, semantic web, business process management, and data privacy.
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aComputers.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems and Communication Service.
650 2 4 _aSoftware Engineering/Programming and Operating Systems.
650 2 4 _aComputing Methodologies.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783658110833
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-658-11084-0
912 _aZDB-2-SCS
942 _cEBK
999 _c51511
_d51511