Service Systems Modeling: Concepts, Formalized Meta-Model and Technical Concretion

  • Martin Böttcher
  • Klaus-Peter Fähnrich
Part of the Service Science: Research and Innovations in the Service Economy book series (SSRI)


Over the past years service science has changed. Nowadays the object of research is highly professionalized complex service systems. For this area of research, service systems modeling provides concepts and formalized meta-models for describing service systems in a precise way. In this paper different aspects of service systems modeling are presented: (a) the specification of singular service components (component model), (b) the specification of the component’s resources (resource model), (c) the definition of interdependencies of service components relevant for configuration (product model) and (d) the temporal dependencies between service components necessary for defining process instances (process model). This paper offers a modeling-relevant definition of service systems, the theoretical foundation of the meta-model (based on a wide literature research) as well as the concepts and terms, necessary for modeling service systems. Finally, the advantages and limitations of service system modeling are discussed.


Service components Service modeling Service science Service systems 


  1. Aalst, M.W.P. v. d., and Pesic, M. (2006). Specifying, Discovering, and Monitoring Service Flows: Making Web Services Process-Aware. BPM Center: BPM Center Report.Google Scholar
  2. Alonso-Rasgado, M.T., Thompson, G. et al. (2004). State of the art in service design and modelling. UK: University of Manchester and Volvo Aero.Google Scholar
  3. Araujo, L, and Spring, M (2006). Services, products, and the institutional structure of production. Industrial marketing Management 35, 797–805.CrossRefGoogle Scholar
  4. Baida, Z., Gordijn, J., et al. (2003). Service Ontology, Amsterdam: Vrije Universität.Google Scholar
  5. Bézivin, J. (2005). On the Unification Power of Models. Software and Systems Modeling 4(2), 171–188.CrossRefGoogle Scholar
  6. Böttcher, M. (2008). Architecture for Integrated Service Systems. ASME Engineering Systems Design and Analysis Conference (ESDA 2008), Haifa (Israel).Google Scholar
  7. Brax, S.A. (2007). Service Engineering and Management: Towards a Framework. Research Perspectives. In: S. A. Brax (ed.) Service Engineering and Management. (pp. 14–29). Helsinki: IMI Publications.Google Scholar
  8. Budinsky, F., Steinberg, D. et al. (2004). Eclipse Modeling Framework. Boston: Addison-Wesley.Google Scholar
  9. Bullinger, H.-J., Fähnrich, K.-P. et al. (2003). Service engineering – methodical development of new service products. International Journal of Production Economics 85, 275–287.CrossRefGoogle Scholar
  10. Chesbrough, H., and Spohrer, J. (2006). A Research Manifesto for Service Science. Communications of the ACM 49(7): 35–40.CrossRefGoogle Scholar
  11. Congram, C., and Epelman, M. (1995). How to describe your service – An invitation to the structured analysis and design technique. International Journal of Service Industry Management 6(2), 6–23.CrossRefGoogle Scholar
  12. Corsten, H. (2001). Dienstleistungsmanagement. München, Wien: Oldenbourg.Google Scholar
  13. Czarnecki, K., and Eisenecker, U. (2000). Generative Programming: Methods, Tools and Application, Amsterdam: Addison-Wesley Professional.Google Scholar
  14. Da Silveira, G., Borenstein, D. et al. (2001). Mass customization: Literature review and research directions. International Journal of Production Economics 72, 1–13.CrossRefGoogle Scholar
  15. Fähnrich, K.-P., Meiren, T. et al. (1999). Service Engineering – Ergebnisse einer empirischen Studie zum Stand der Dienstleistungsgesellschaft in Deutschland. Stuttgart: Fraunhofer IRB Verlag.Google Scholar
  16. Favre, J.-M. (2005). Foundations of Meta-Pyramids: Languages vs. Metamodels – Episode II: Story of Thotus the Baboon1. In: J. Bezivin and R. Heckel (Ed.). Language Engineering for Model-Driven Software Development. Dragstuhl: Internationales Bildungs-und Forschungszentrum für Informatik IBFI.Google Scholar
  17. Fitzsimmons, J.A., and Fitzsimmons, M.J. (2005). Service Management. Boston: Irwin Mc-Graw-Hill.Google Scholar
  18. Gadrey, J. (2002). The misuse of productivity concepts in services: Lessons from a comparison between France and the United States. In: J. Gadrey and F. Gallouj (Ed.) Productivity, innovation and knowledge in services: New economic and socio economic approaches. (pp. 26–54). Cheltenham: Edwar Elgar.CrossRefGoogle Scholar
  19. Johne, A., and Storey, C. (1998). New service development: a review of the literature and annotated bibliography. European Journal of Marketing 32(3/4), 184-251.CrossRefGoogle Scholar
  20. Kaner, M., and Karni, R. (2006). A Knowledge Framework for a Service Concept. 6th International Conference on Knowledge Management, Journal of Universal Computer Science, Graz (Austria).Google Scholar
  21. Kern, H., Böttcher, M. et al. (2008). Ansatz zur ganzheitlichen Erstellung und Verarbeitung von Dienstleistungsmodellen. Dienstleistungsmodellierung 2008 – Workshop im Rahmen der Modellierung 2008, LNI, Berlin (Germany).Google Scholar
  22. Linckels, S., Meinel, C. (2006). Resolving Ambiguities in the Semantic Interpretation of Natural Language Questions. In: E. Corchado, et al. (Ed.) IDEAL 2006, LNCS 4224 (pp. 612–619). Berlin, Heidelberg: Springer.Google Scholar
  23. Maglio, P.P., Srinivasan, S. et al. (2006). Service Systems, Service Scientists, SSME, and Innovation. Communications of the ACM 49(7), 81–85.CrossRefGoogle Scholar
  24. Meffert, H., and Bruhn, M. (2006). Dienstleistungsmarketing – Grundlagen, Konzepte, Methoden. Wiesbaden: Gabler Verlag.Google Scholar
  25. Meyer, K., Müller, R. et al. (2008). Requirements in the Development of Hybrid Industrial Service Systems – an Exploration in the Field of Remote Services. Stuttgart: RESER 2008.Google Scholar
  26. Miles, I. (2006). Innovation in Services. In J. Fagerberg, D. C. Mowery and R. R. Nelson, The Oxford Handbook of Innovation.(pp. 433–458). Oxford: Oxford University Press.Google Scholar
  27. Novak, J.D., and Cañas, A.J. (2008). The Theory Underlying Concept Maps and How to Construct and Use Them. Technical Report IHMC Cmap Tools, Florida: Institute for Human and Machine Cognition.Google Scholar
  28. O’Sullivan, J. (2006). Towards a Precise Understanding of Service Properties. Queensland: University of Technology.Google Scholar
  29. Parasuraman, A., Zeithaml, V.A. et al. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing 49(4), 41–50.CrossRefGoogle Scholar
  30. Schmenner, R.W. (1986). How can service business survive and prosper? Sloan Management Review 28 (3), 21–32.Google Scholar
  31. Shostack, G.L. (1982). How to Design a Service. European Journal of Marketing 16(1), 49–63.CrossRefGoogle Scholar
  32. Spohrer, J., Maglio, P.P. et al. (2007). Steps Toward a Science of Service Systems. IEEE Computer 40(1), 71–77.CrossRefGoogle Scholar
  33. van Deursen, A., Klint, P. et al. (2000). Domain-specific languages: an annotated bibliography. ACM SIGPLAN Notice 35(6), 26–36.CrossRefGoogle Scholar
  34. Vargo, S.L. (2009). Alternative Logics for Service Science. ISSS2009 – International Symposium on Service Science, Keynote speech, Leipzig (Germany).Google Scholar
  35. Vargo, S.L., Lusch R.F. (2004). Evolving to a New Dominant Logic for Marketing. Journal of Marketing 68(January 2004) 1–17.CrossRefGoogle Scholar

Copyright information

© Springer Science and Business Media, LLC 2011

Authors and Affiliations

  • Martin Böttcher
    • 1
  • Klaus-Peter Fähnrich
  1. 1.Faculty for Mathematics and Computer Science, Department of Computer Science, Business Information SystemsUniversity of LeipzigLeipzigGermany

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