DocumentCode
1621157
Title
A framework for analyzing and measuring business performance with Web services
Author
McGregor, Carolyn ; Scheifer, J.
Author_Institution
Center for Adv. Syst. Eng., Univ. of Western Sydney, NSW, Australia
fYear
2003
Firstpage
405
Lastpage
412
Abstract
The Web services paradigm provides organizations with an environment to enhance B2B communications. The aim is to create modularized services supporting the business processes within their organization and also those external entities participating in these same business processes. Current Web service frameworks do not include the functionality required for Web service execution performance measurement from an organization perspective. As such, a shift to this paradigm is at the expense of the organization´s performance knowledge, as this knowledge will become buried within the internal processing of the Web service platform. This research introduces an approach to reclaim and improve this knowledge for the organization establishing a framework that enables the definition of Web services from a performance measurement perspective, together with the logging and analysis of the enactment of Web services. This framework utilizes Web service concepts, DSS principles, and agent technologies, to enable feedback on the organization´s performance measures through the analysis of the Web services. A key benefit of this work is that the data is stored once but provides information both to the customer and the supplier of a Web service, removing the need for development of internal Web service performance monitoring.
Keywords
Internet; business continuity; electronic commerce; internetworking; performance evaluation; systems analysis; B2B communication enhancement; DSS principle; Web service concept utilization; Web service customer; Web service enactment logging; Web service execution performance measurement; Web service framework; Web service platform internal processing; Web service supplier; Web services paradigm; agent technology; business performance analysis framework; business performance measurement; business processes; data storage; e-business; functionality requirement; internal Web service performance monitoring; knowledge improvement; modularized service creation; organization performance knowledge; organization performance measure feedback; organization perspective; Business communication; Data mining; Data warehouses; Decision making; Delay; Information analysis; Measurement; Monitoring; Performance analysis; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Commerce, 2003. CEC 2003. IEEE International Conference on
Print_ISBN
0-7695-1969-5
Type
conf
DOI
10.1109/COEC.2003.1210277
Filename
1210277
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