Multilevel Business Processes: Modeling and Data Analysis

dc.contributor.author	Schuetz, Christoph G.	en_US
dc.date.accessioned	2016-07-06T01:17:32Z
dc.date.available	2016-07-06T01:17:32Z
dc.date.issued	2015	en_US
dc.identifier.isbn	978-3-658-11083-3	en_US
dc.identifier.isbn	978-3-658-11084-0	en_US
dc.identifier.other	HPU2160153	en_US
dc.identifier.uri	https://lib.hpu.edu.vn/handle/123456789/22018
dc.description.abstract	Christoph 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.	en_US
dc.format.extent	242 p.	en_US
dc.format.mimetype	application/pdf
dc.language.iso	en	en_US
dc.publisher	Springer Vieweg	en_US
dc.subject	Multilevel business	en_US
dc.subject	Modeling	en_US
dc.subject	Data analysis	en_US
dc.title	Multilevel Business Processes: Modeling and Data Analysis	en_US
dc.type	Book	en_US
dc.size	1.54 MB	en_US
dc.department	English resources	en_US