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Exploring value business models for e-service design
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
2010 (Engelska)Ingår i: Model-driven domain analysis and software development: architectures and functions / [ed] Janis Osis and Erika Asnina, Hershey: IGI Global, 2010, nr 2009, s. 232-253Kapitel i bok, del av antologi (Övrigt vetenskapligt)
Abstract [en]

Contemporary enterprises face strong pressures to increase competitiveness by engaging in alliances of several kinds. In a rapidly increasing degree, traditional organizational structures evolve towards online business using modern ICT – such as the Internet, semantic standards, process- and service-oriented architectures. For efficient applications of inter-organizational information systems, the alignment between business and ICT is a key factor. At the ICT level, Web services are used as the cornerstones for modeling the interaction points of Web applications. So far, development of Web services has focused on a technical perspective, such as the development of standards for message exchanges and service coordination. Thereby, business concepts, such as economic values exchanged among the cooperating actors, cannot be traced in Web service specifications. As a consequence, business and ICT models become difficult to keep aligned. To address this issue, we propose a MDA-based approach for design of software services which may be implemented using Web services and Web service coordinations. The proposal focuses on a value-explorative analysis and modeling of business services at the CIM level, and model transformations using UML 2 to the PIM level, by utilizing well-defined mappings.

Ort, förlag, år, upplaga, sidor
Hershey: IGI Global, 2010. nr 2009, s. 232-253
Nyckelord [en]
Service-Oriented Computing, Business Models, Business Value Models, Process Models, Model Transformation, Service Coordination
Nationell ämneskategori
Data- och informationsvetenskap
Forskningsämne
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-33435ISBN: 9781616928742 (tryckt)OAI: oai:DiVA.org:su-33435DiVA, id: diva2:283112
Tillgänglig från: 2009-12-23 Skapad: 2009-12-23 Senast uppdaterad: 2018-01-12Bibliografiskt granskad

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