Towards a Flexible Solution in Knowledge-Based Service Organizations: Capability as a Service

  • Hasan KoçEmail author
  • Kurt Sandkuhl
  • Michael Fellmann
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 247)


To improve their chances of survival, enterprises need to cope with the challenges caused by today’s dynamic markets, regulations, customer demands, novel technologies, etc. The shift towards a service-oriented economy as underlined by the concept of Service-Dominant (S-D) Logic is gaining traction within the Service Science community and industry. This shift towards service-dominated business models makes it even more important for enterprises to be agile to meet the rapidly changing customer demands. This demand for agility is reinforced in the context of knowledge-based service organizations (KBSOs), for which flexible service provision is a fundamental requirement. Against this background, we argue that the capability-driven design may provide the KBSOs the required degree of flexibility. Towards this goal, we present an approach for the capability-driven design of enterprises. More precisely, our contributions are (i) the introduction of a capability-based paradigm that contributes to the design of flexible services in KBSOs, (ii) an architecture of our service design and deployment environment and (iii) a demonstration of using our approach based on a real-world use case from an organization in the utilities industry. Our results and insights are based on our work in the EU-FP7 project “Capability as a Service in Digital Enterprises” (CaaS).


Capability modelling Service science Context-aware services Knowledge-based services Context modelling Capability as a service 


  1. 1.
    Spohrer, J., Golinelli, G.M., Piciocchi, P., et al.: An integrated SS-VSA analysis of changing job roles. Serv. Sci. 2(1–2), 1–20 (2010)CrossRefGoogle Scholar
  2. 2.
    Zdravkovic, J., Stirna, J., Henkel, M., Grabis, J.: Modeling business capabilities and context dependent delivery by cloud services. In: Salinesi, C., Norrie, M.C., Pastor, O. (eds.) CAiSE 2013. LNCS, vol. 7908, pp. 369–383. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  3. 3.
    Vargo, S.L., Lusch, R.F.: Evolving to a new dominant logic for marketing. J. Mark. 68(1), 1–17 (2004)CrossRefGoogle Scholar
  4. 4.
  5. 5.
    Faria, J.A., Nóvoa, H.: An agile BPM system for knowledge-based service organizations. In: Nóvoa, H., Drăgoicea, M. (eds.) Exploring Services Science. LNBIP, vol. 201, pp. 65–79. Springer International Publishing, Cham (2015)Google Scholar
  6. 6.
    Alter, S.: Making a science of service systems practical: seeking usefulness and understandability while avoiding unnecessary assumptions and restrictions. In: Demirkan, H., Spohrer, J.C., Krishna, V. (eds.) The Science of Service Systems, pp. 61–72. Springer, Boston (2011)CrossRefGoogle Scholar
  7. 7.
    Tohidi, H.: Modelling of business services in service oriented enterprises., Procedia Comput. Sci. 3, 1147–1156 (2011). World Conference on Information TechnologyCrossRefGoogle Scholar
  8. 8.
    Hachani, S., Gzara, L., Verjus, H.: Business process flexibility in service composition: experiment using a PLM-based scenario. In: van der Aalst, W.M.P., Mylopoulos, J., Rosemann, M., et al. (eds.) Exploring Services Science. LNBIP, vol. 82, pp. 158–172. Springer, Berlin Heidelberg (2011)CrossRefGoogle Scholar
  9. 9.
    Stavenko, Y., Kazantsev, N., Gromoff, A.: Business process model reasoning: from workflow to case management. In: CENTERIS 2013 - International Conference on Health and Social Care Information Systems and Technologies, Procedia Technology, vol. 9, pp. 806–811 (2013)Google Scholar
  10. 10.
    Rosemann, M., Recker, J., Flender, C.: Contextualisation of business processes. Int. J. Bus. Process Integr. Manage. 3(1), 47–60 (2008)CrossRefGoogle Scholar
  11. 11.
    van der Aalst, W.M.P.: Business process configuration in the cloud: how to support and analyze multi-tenant processes. In: 2011 IEEE 9th European Conference on Web Services (ECOWS), pp. 3–10. IEEE Computer Society Press, New York (2011)Google Scholar
  12. 12.
    Hallerbach, A., Bauer, T., Reichert, M.: Context-based configuration of process variants. In: 3rd International Workshop on Technologies for Context-Aware Business Process Management (TCoB 2008), pp. 31–40 (2008)Google Scholar
  13. 13.
    Browne, P.: JBoss Drools Business Rules: Capture, Automate, and Reuse Your Business Processes in a Clear English Language That Your Computer Can Understand. From Technologies to Solutions. Packt Pub, Birmingham (2009)Google Scholar
  14. 14.
    Bravos, G., Grabis, J., Henkel, M., Jokste, L., Kampars, J.: Supporting evolving organizations: IS development methodology goals. In: Johansson, B., Andersson, B., Holmberg, N. (eds.) BIR 2014. LNBIP, vol. 194, pp. 158–171. Springer, Heidelberg (2014)Google Scholar
  15. 15.
    Koç, Hasan, Sandkuhl, Kurt: A business process based method for capability modelling. In: Matulevičius, Raimundas, Dumas, Marlon (eds.) BIR 2015. LNBIP, vol. 229, pp. 257–264. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  16. 16.
    Ferrario, R., Guarino, N.: Towards an ontological foundation for services science. In: Domingue, J., Fensel, D., Traverso, P. (eds.) Future Internet - FIS 2008: First Future Internet Symposium, FIS 2008, pp. 152–169. Springer, Berlin (2009)CrossRefGoogle Scholar
  17. 17.
    Polyvyanyy, A., Weske, M.: Flexible service systems. In: Demirkan, H., Spohrer, J.C., Krishna, V. (eds.) The Science of Service Systems, pp. 73–90. Springer, Boston (2011)CrossRefGoogle Scholar
  18. 18.
    Ferrario, R., Guarino, N.: Commitment-based modeling of service systems. In: Snene, M. (ed.) Exploring Services Science. LNBIP, vol. 103, pp. 170–185. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  19. 19.
    Bērziša, S., Bravos, G., Gonzalez, T.C., et al.: Capability driven development: an approach to designing digital enterprises. Bus Inf Syst Eng. 57(1), 15–25 (2015)CrossRefGoogle Scholar
  20. 20.
    Antunes, G., Borbinha, J.: Capabilities in systems engineering: an overview. In: Cunha, J.F., Snene, M., Nóvoa, H. (eds.) Exploring Services Science. LNBIP, vol. 143, pp. 29–42. Springer, Berlin Heidelberg (2013)CrossRefGoogle Scholar
  21. 21.
    Mikalef, P.: Developing IT-enabled dynamic capabilities: a service science approach. In: Johansson, B., Andersson, B., Holmberg, N. (eds.) BIR 2014. LNBIP, vol. 194, pp. 87–100. Springer, Heidelberg (2014)Google Scholar
  22. 22.
    España, S., Grabis, J., Henkel, M., Koç, H., Sandkuhl, K., Stirna, J., Zdravkovic, J.: Strategies for capability modelling: analysis based on initial experiences. In: Persson, A., Stirna, J. (eds.) CAiSE. LNBIP, vol. 215, pp. 40–52. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  23. 23.
    Andersson, B., Johannesson, P., Zdravkovic, J.: Aligning goals and services through goal and business modelling. Inf. Syst. E-Bus. Manage. 7(2), 143–169 (2009)CrossRefGoogle Scholar
  24. 24.
    Sandkuhl, K., Stirna, J., Persson, A.: Enterprise Modeling: Tackling Business Challenges with the 4EM Method. The Enterprise Engineering Series. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  25. 25.
    van der Aalst, W.M.P., Pesic, M.: A declarative approach for flexible business processes management. In: Eder, J., Dustdar, S. (eds.) BPM 2006 Workshops. LNCS, vol. 4103, pp. 169–180. Springer, Berlin Heidelberg (2006)Google Scholar
  26. 26.
    van der Aalst, W.M.P., Pesic, M.: DecSerFlow: towards a truly declarative service flow language. In: Bravetti, M., Nunez, M., Zavattaro, G. (eds.) Web Services and Formal Methods. LNCS, vol. 4148, pp. 1–23. Springer, Heidelberg (2006)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Chair of Business Information Systems, Institute of Computer ScienceUniversity of RostockRostockGermany

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