We propose a method, e 3 service , to reason about satisfying customer needs in the context of a wide choice of multi-supplier ICT service bundles. Our method represents customer needs, their ensuing consequences, and the services that realize those consequences in a service catalogue. This catalogue is then used by a reasoner, which elicits customer needs, computes their consequences, and automatically matches these consequences with services offered by suppliers. The e 3 service method has been implemented and tested in software to demonstrate its feasibility.
Electronic service bundles such as Internet access and Voice over IP become increasingly important for the economy. The requirements engineering problem is how to compose an e-service bundle such that consumer needs are met optimally, and the suppliers provide the services economically sustainable. We propose a technique to match a consumer need with a multi-supplier bundle of commercial eservices, which we illustrate by means of a telecommunication case study.
Preface ix the final push in structuring the book. Two of the editors worked closely together for almost a week, being hosted by our dear friend José Tribolet in Lisbon, Portugal. This allowed us to "hide away" from day-to-day activities and focus on structuring the book.As editors, we sincerely hope you will enjoy reading this book, while exploring the richness of the architectural coordination of enterprise transformation playing field and gaining more insights into both its practical and theoretical aspects.
IT-services should not only be considered from a technical perspective, but should also be seen as commercial services that satisfy a consumer need. Examples include well-known services such as Internet access or content provisioning services. Typically, to satisfy a consumer need, a bundle of elementary services is required. In such a bundle, each elementary service can be offered by a different supplier. A key problem is then how to actually find servicebundles that satify consumer needs as close as possible. Because IT-service bundles can be automatically provisioned online immediately after ordering, finding a service bundle satisfying a need should preferably also happen automatically. To this end, we propose the e 3 service ontology, which offers constructs from service marketing, but in a computational way, such that automated reasoning support can be developed to match consumer needs with IT-services. This paper presents the e 3 service ontology and explains it by a case from the telecom industry.
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