Analytical, computational and conceptual modeling in service science and systems

Authors:
Haluk Demirkan;Daniel Dolk
Affiliations:
Arizona State University, Tempe, USA;Naval Postgraduate School, Monterey, USA
Venue:
Information Systems and e-Business Management
Year:
2013

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Abstract

While the service economy is growing very fast, more organizations are reorienting their processes, tools, and products towards service-oriented applications. This service-oriented paradigm is creating new challenges and opportunities for organizations. In this article, we discuss service science and systems, and provide a conceptual view of the service ecosystem in the context of analytical, computational and conceptual modeling. As service scientists, our ultimate goal should be to develop and provide a science-based approach to the dynamic, scalable, secure, and knowledge-driven design and development of service ecosystems, while in the process fostering the development of academic researchers and industry professionals to work in diverse, interdisciplinary teams for engineering adaptable solutions to distributed computing problems.