Alignment of Service Science and Service Oriented Computing: A Unified Interpretative Approach to Service Design and Planning

Marco Comerio (), Simone Grega (), Matteo Palmonari () and Gianluigi Viscusi ()
Additional contact information
Marco Comerio: University of Milano-Bicocca
Simone Grega: University of Milano-Bicocca
Matteo Palmonari: University of Milano-Bicocca
Gianluigi Viscusi: University of Milano-Bicocca

A chapter in Information Systems: Crossroads for Organization, Management, Accounting and Engineering, 2012, pp 519-526 from Springer

Abstract: Abstract At the state of art, service ecosystems are seldom considered under a holistic perspective, whereas silos oriented perspectives prevail (the organizational level, the ICT level, and so on). Due to this separation of concerns, it is difficult to provide comprehensive solutions to plan service oriented initiatives combining models and solution developed at different levels. A significant problem in this scenario comes from the multi-faceted relationship between real services, which impact on the information system as a whole, and Service Oriented Computing (SOC), which is a paradigm to support ICT-based service automation and management. In this paper, we discuss an interpretative approach aiming at bridging the gap between services and SOC. The approach is based on a conceptual model called eGora*. The discussion is supported by a real life scenario based on previous on the field experimentations.

Keywords: Service Design; Ecosystem Services; Holistic Perspective; Web Service Level Agreement (WSLA); Business Process Modeling Notation (BPMN) (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2789-7_56

Ordering information: This item can be ordered from
http://www.springer.com/9783790827897

DOI: 10.1007/978-3-7908-2789-7_56

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().