Service Science

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Definitions of Service Science

• Service science is the study of the application of the resources of one or more systems for the benefit of another system in economic exchange.(Spohrer, J., L. C. Anderson, N. J. Pass, T. Ager & D. Gruhl,2008 “Service Science.” )
• Service Science is about integration, optimization and sustainability (IBM SSME Symposium, 2007)
• Service Science can be seen as an inter-disciplinary activity which attempts to unite various areas based on trans-displinary (or cross-disciplinary collaboration). (IBM SSME Symposium,2007)
• Service Science is defined as a new discipline “to merge technology with an understanding of business processes and organization and to understand how that capability can be delivered in an efficient and profitable way” (Zhao, J. L. & M. Tanniru & L. Zhang ,2007).”
• Service science is a(n) (inter)disciplinary field that “combines organization and human understanding with business and technological understanding to categorize and explain the many types of service systems that exist as well as how service systems interact and evolve to co-create value” (Maglio and Spohrer 2008, p. 18).

 

People in Service Science

• Jim Spohrer

 

Service Science-Related Projects

• Services Science Management and Engineering (SSME) Learning and Teaching Project, Australian Learning and Teaching Council Grant, July 2008 - July 2010
• Service science moves forwards with CSR launch

 

Conferences that Address Service Science

• International conference on exploring services science IESS
• ICSSME: “International Conference on Service Science, Management and Engineering”,
• ICSS - International Conference on Service Science
• ACM Conference on Economics and Computation / Electronic Commerce (ACM-EC)

 

Literature

Service Science

• Spohrer, Jim, Laura Anderson, Norm Pass, and Tryg Ager. "Service science and service-dominant logic." In Otago Forum, vol. 2, no. 2, pp. 4-18. 2008.
• Maglio, P.P. and Spohrer J. (J. of the Acad. Mark. Sci. (2008) Fundamentals of service science 
• Demirkan, H. ,R. J. Kauffman , J. A. Vayghan, H.Fill, D. Karagiannis ,P. P. Maglio (2008) “Service-oriented technology and management: Perspectives on research and practice for the coming decade”. Electronic Commerce Research and Applications, Volume 7, Issue 4 (December 2008), Pages 356-376
• Feller, A., Dr. D. Shunk, and Dr. T. Callarman (2006) “Value Chains Versus Supply Chains “ BPT Trends 2006
• Fodell, D., (IBM) April, 2009. "Service Science, Management and Engineering (SSME)" 
• Heskett J. L., T. O. Jones, G. W. Loveman, W. E. Sasser, Jr., and L. A. Schlesinger (1994). “Putting the Service-Profit Chain to Work” , Harvard Business Review Reprint.
• IBM SSME Symposium (2007). “Succeeding through Service Innovation: A service perspective for education, research, business and government.” IfM and IBM
• Katzan, H. Jr. (2008). Foundations of Service Science Concepts and Facilities. Journal of Service Science – Third Quarter 2008, Volume 1, Number 1. Liu, D. and Ralph Deters (2008). 
• Liu, D., & Deters, R. (2008). Management of service-oriented systems. Service Oriented Computing and Applications, 2(2-3), 51-64.
• Lusch, R. F. & S. L Vargo. & M. Tanniru (2009) ”Service, value networks and learning“ J. of the Acad. Mark. Sci. DOI 10.1007/s11747-008-0131-z” 
• Lusch, R. F., & Vargo, S. L. (2008). "The service-dominant mindset", In Service science, management and engineering education for the 21st century (pp. 89-96). Springer, Boston, MA.
• Vargo, S. L. & R. F. Lusch (2004) “Evolving to a New Dominant Logic for Marketing”, Journal of Marketing, Vol. 68 (January 2004), 1–17 
• Vargo, S. L.  P. P. Maglio, and M. A. Akaka. “On value and value co-creation: A service systems and service logic perspective”.European Management Journal (2008) 26, 145– 152 
• Vargo, S. L. and M. A. Akaka (2009). “Service-Dominant Logic as a Foundation for Service Science: Clarifications”. Service Science 1(1), pp. 32-41, 2009 SSG. 
• Vargo, S. L., October 9, 2007. From Goods to Service (s): A Trail of Two Logics 
• Zhao, J. L., Tanniru, M., & Zhang, L. J. (2007). Services computing as the foundation of enterprise agility: Overview of recent advances and introduction to the special issue. Information Systems Frontiers, 9(1), 1-8.

 

Service System

• Alter, S. (2008). "Service system fundamentals: Work system, value chain, and life cycle". IBM systems journal, 71.
• Kwan, S. K. and J. H. Min (2008) “An Evolutionary Framework of Service Systems” at International Conference on Service Science Beijing, China, April 17-18.

 

Service Composition

• Higels, S., & Lewis, D. (2003). "State of the Art: Service composition", M-Zones Deliverable, 1, 88-136.
• Lee, D. J., & Ahn, J. K. (2007). "Factors affecting companies’ telecommunication service selection strategy", Omega, 35 (5), 486-493.
• USTUTT, UOC, UPM, VUA, UCBL, TUW (2008), “Models and Mechanisms for Coordinated Service Compositions” S-CUBE consortium. 

 

Service Decomposition

• Bennett, K., Layzell, P., Budgen, D., Brereton, P., Macaulay, L., & Munro, M. (2000). "Service-based software: the future for flexible software", In Software Engineering Conference, 2000. APSEC 2000. Proceedings. Seventh Asia-Pacific (pp. 214-221). IEEE.
• Dörr, E., & Winiwarter, W. (2004). "Decomposition and Reuse of Mobile Services", In iiWAS.
• El-Kiki, T., & Lawrence, E. (2006, August). "Mobile user satisfaction and usage analysis model of mgovernment services. In Proceedings of EURO mGOV (pp. 91-102).

 

Business Workflow

• Van Der Aalst, W. M., & Ter Hofstede, A. H. (2005). "YAWL: yet another workflow language". Information systems, 30(4), 245-275. 
• Cardoso, J., A. Sheth, J. Miller, J. Arnold, and K. Kochut (2004). “Quality of Service for Workflows and Web Service Processes.“ Journal of Web Semantics, Elsevier. Web Semantics: Science, Services and Agents on the World Wide Web 1 (2004) 281–308. 
• El-Kiki, T., & Lawrence, E. (2006, August). "Mobile user satisfaction and usage analysis model of mgovernment services. In Proceedings of EURO mGOV (pp. 91-102).

 

Utility Models

• Hom, W. (2000) “An overview of Customer Satisfaction Models”. 
• Alrifai, M. and T. Risse (2009). “Combining Global Optimization with Local Selection for Efficient QoS-aware Service Composition”, WWW 2009, April 20–24, 2009, Madrid, Spain. ACM
• Derbel, H., Agoulmine, N., & Salaun, M. (2007, November). "Service utility optimization model based on user preferences in multiservice IP networks", In Globecom Workshops, 2007 IEEE (pp. 1-5). IEEE.
• Jime´nez, A. & S. Ri´os-Insua, A. Mateos (2002). “A decision support system for multi-attribute utility evaluation based on imprecise assignments.” Decision Support Systems 36 (2003) 65– 79
• Machiraju, V., J. Rolia, A. Moorsel (2002). “Quality of Business Driven Service Composition and Utility Computing”, HP Laboratories Palo Alto. HPL-2002-66, March 15th, 2002. 
• Menasc´e, D. A & V Dubey (2007). "Utility-based QoS Brokering in Service Oriented Architectures”. IEEE International Conference on Web Services (ICWS 2007) 
• Rohloff, K., Ye, J., Loyall, J., & Schantz, R. (2006). "A hierarchical control system for dynamic resource management". REPORT-UNIVERSITY OF YORK DEPARTMENT OF COMPUTER SCIENCE YCS, 398, 37.
• Zahedi, F., & Ashrafi, N. (1991). "Software reliability allocation based on structure, utility, price, and cost". IEEE Transactions on Software Engineering, 17(4), 345-356.

 

Cost Modeling

• Attarzadeh, I. and H. O. Siew (2009). “Software Development Effort Estimation Based on a New Fuzzy Logic Model”, International Journal of Computer Theory and Engineering, Vol. 1, No. 
• Leung, H. and Z. Fan (2002). “Software Cost Estimation.” Handbook of Software Engineering and Knowledge Engineering. S. K. Chang. 2002 
• Mas Machuca, C., Moe, Ø., Eberspächer, J., Jaeger, M., & Gladisch, A. (2009). "Service cost model and cost comparative studies". info, 11(3), 19-30.
• Mendes, E., & Mosley, N. (2005). "Web cost estimation: An introduction". In Web engineering: principles and techniques(pp. 182-202). IGI Global.
• Uysal, M. (2008). "Estimation of the effort component of the software projects using simulated annealing algorithm". World Academy of Science, Engineering and Technology, 41, 258-261.
• Wynn, M. T., Edmond, D., & Milliner, S. (2004). "The Estimation Of Invocation Cost For Composite Services". Journal of Integrated Design and Process Science, 8(1), 31-47.
• Courcoubetis, C., R. Weber, M. Coe (2003). "Pricing Communication Networks: Economics, Technology, and Modeling: (Wiley-Inter-science Series in Systems and Optimization)", John Wiley & Sons