Enterprise Service Computing: From Concept to Deployment by Qiu R.G.
By Qiu R.G.
This ebook makes a speciality of supplying readers a finished realizing of the improvement cycle of firm carrier computing. lined issues variety from notion improvement, procedure layout, modeling, and improvement applied sciences, to ultimate deployment. either theoretical study effects and functional functions are supplied.
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Research in development. MIT Technology Review. asp IBM. (2004). Service science: A new academic discipline? com/ssme Johnston, R. (1999). Service operations management: Return to roots. International Journal of Operations & Production Management, 19(2), 104-124. Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. , & Ramachandran, B. (2005). Analysis and simulation of business solutions in a service-oriented architecture.
12 Qiu Figure 2. Services innovations framework and modeling Vision/ Value Governance Technology Road Map Execution Technology Deployment Customer Value Cocreation + Q uality Demand Relationship + Preference Process Augmentation + Automation Organization People + Culture + Metrics Services Driver Services Enabler The framework can guide the creation of customer value and demand, and the processes and organizations that deliver services successfully—all of it catalyzed by emerging technologies. Although detailed panel views of customer value, demand, process, and organization have been given in the white paper by Rangaswamy and Pal (2005), there is still the lack of a systematic approach to address how such a model and innovation framework can be enabled in practice.
3. Implementation phase: The inalized process model is transformed into an executable representation. Static analysis is performed during transformation to provide the modeler more information to reine the process model. 4. Deployment and execution phase: The process is deployed into a run-time environment for execution. 5. Monitoring phase: The running process is monitored continuously. Various key performance indicators (KPIs) are synthesized and relected to the “dashboard” for viewing and controlling by the management personnel.