Poels, Geert

English

Ghent University Academic Bibliography

VALUE MODEL ONTOLOGY FOR SERVICE SYSTEMS <Service Science, S-D Logic>  ABSTRACT (max 400 words) Purpose – The semantic description and graphical representation of the proposal, creation, delivery, and transfer of value has been the subject of ‘value modeling’ research in the Enterprise/Information Systems Engineering discipline [1-4]. Enterprises form a major class of service system entities. From an S-D Logic [5-9] perspective, each enterprise is by definition a service system entity as all economic exchange is service exchange. There have been several calls in the Service Science literature for more research on vocabularies, conceptual abstractions and visual models to describe and represent service systems [10-13]. Given the object of study of Service Science, such artifacts should allow modeling and analyzing value co-creation phenomena [14]. However, current value modeling approaches assume a ‘goods-dominant’ worldview [15, 16]. They can therefore not readily be applied to service system modeling. To tackle this problem, we designed a value model ontology that offers generic constructs and rules for articulating and structuring value models that represent enterprises as service system entities that purposefully interact in mutually beneficial service exchanges. Design/Methodology/approach – We employed the research process and adhered to the principles prescribed by the Design Science methodology [17-19]. The theoretical basis of our conceptual design research is the Resource-Event-Agent (REA) model of economic exchange [20, 21], which provides a theoretical foundation for (goods-dominant) value modeling.  Findings – First, we investigated the concepts, relations, and axioms of the REA ontology through the lens of S-D Logic. The results of this analysis then informed the design of a value model ontology that conforms to the S-D Logic view of economic exchange. Research limitations/implications (if applicable) – An ontology is a specification of a shared conceptualization [22]. Sharedness is difficult to prove, though the ontology’s concepts and relations were defined in accordance with the service system worldview and ISPAR model of interaction outcomes proposed by Spohrer and colleagues [23-26]. Future research may wish to formalize the ontology (i.e., turn it into a computational ontology) and develop modeling notations, methods and tools to apply it. Practical implications (if applicable) – Value models help revealing, analyzing and reasoning about the teleological and ontological nature (i.e., function and composition) of enterprise service system entities, their internal operations (i.e., resource allocation and orchestration of service processes), and their externalized behavior (i.e., choreography of service interactions), which may prove useful for supporting SSMED [27] applications. Originality/value – The contribution made to Service Science is the ontology for the value modeling of enterprises as service system entities. The proposed ontology is original in the sense that existing value modeling approaches do not ontologically commit to S-D Logic. Key words (max 5) service system, model, ontology  Paper type – Conceptual Design Research paper  References (max 1 page) 1. Rother, M., Shook, J.: Learning to See. Lean Enterprise Institute (1998) 2. Gordijn, J., Akkermans, H.: Value Based Requirements Engineering: Exploring Innovative E-Commerce Ideas. Requirements Engineering Journal 8, 114-134 (2003)  3. Osterwalder, A.: The Business Model Ontology: A Proposition in a Design Science  Approach. l’Université de Lausanne, Lausanne (2004) 4. Allee, V.: Value Network Analysis and value conversion of tangible and intangible assets. Journal of Intellectual Capital 9, 5-24 (2008) 5. Vargo, S.L., Lusch, R.F.: The Four Service Marketing Myths: Remnants of a Goods-Based, Manufacturing Model. Journal of Service Research 6, 324-335 (2004) 6. Vargo, S.L., Lusch, R.F.: Evolving to a New Dominant Logic for Marketing. Journal of Marketing 68, 1-17 (2004) 7. Lusch, R.F., Vargo, S.L.: Service-dominant logic: reactions, reflections and refinements. Marketing Theory 6, 281-288 (2006) 8. Vargo, S.L., Lusch, R.F.: From goods to service(s): Divergences and convergences of logics. Industrial Marketing Management 37, 254-259 (2008) 9. Vargo, S.L., Akaka, M.A.: Service-Dominant Logic as a Foundation for Service Science: Clarifications. Service Science 1, 32-41 (2009) 10. Maglio, P.P., Srinivasan, S., Kreulen, J.T., Spohrer, J.: Service systems, service scientists, SSME, and innovation. Communications of the ACM 49, 81-85 (2006) 11. Baines, T., Lightfoot, H., Peppard, J., Johnson, M., Tiwari, A., Shehab, E.: Towards an operations strategy for product-centric servitization. International Journal of Operations & Production Management 29, 494-519 (2009) 12. Ostrom, A.L., Bitner, M.J., Brown, S.W., Burkhard, K.A., Goul, M., Smith-Daniels, V., Demirkan, H., Rabinovich, E.: Moving Forward and Making a Difference: Research Priorities for the Science of Service. Journal of Service Research 13, 4-36 (2010) 13. Miettinen, S. (ed.) Service Design with Theory. Discussions on Change, Value and Methods. Lapland University Press Publishing (2012) 14. Vargo, S.L., Maglio, P.P., Akaka, M.A.: On value and value co-creation: A service systems and service logic perspective. European Management Journal 26, 145-152 (2008) 15. Weigand, H., Arachchige, J.J.: Value Encounters: Modelling and Analyzing Co-Creation of Value. AIS Transactions on Enterprise Systems 1, 32-41 (2009) 16. Fragidis, G., Tarabanis, K.A: 2011. Towards an Ontological Foundation of Service Dominant Logic. In: Snene, M., Ralyté, J., Morin, J.-H. (eds.) IESS 2011. LNBIP, vol. 82. pp. 201-215. Springer, Heidelberg (2011) 17. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design Science in Information Systems Research. MIS Quarterly 28, 75-105 (2004) 18. Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A Design Science Research Methodology for Information Systems Research. Journal of Management Information Systems 24, 45-77 (2007) 19. Holmström, J., Ketokivi, M., Hameri A.-P.: Bridging Practice and Theory: A Design Science Approach. Decision Sciences 40, 65-87 (2009) 20. McCarthy, W.E.: The REA Accounting Model: A Generalized Framework for Accounting Systems in a Shared Data Environment. The Accounting Review 57, 554-578 (1982) 21. Geerts, G.L., McCarthy, W.E.: An Ontological Analysis of the Economic Primitives of the Extended REA Enterprise Information Architecture. International Journal of Accounting Information Systems 3, 1-16 (2002) 22. Gruber, T.R.: Towards Principles for the Design of Ontologies Used for Knowledge Sharing. International Journal of Human-Computer Studies 43, 907-928 (1995) 23. Spohrer, J., Anderson, L.C., Pass, N.J., Ager, T., Gruhl, D.: Service Science. Journal of Grid Computing 6, 313-324 (2008) 24. Spohrer, J., Anderson, L, Pass, N., Ager, T.: Service Science and S-D Logic. In: Proceedings Naples Forum on Service Science (2009) 25. Maglio, P.P., Vargo, S.L., Caswell, N., Spohrer, J.: The service system is the basic abstraction of service science. Information Systems and E-Business Management 7, 395-406 (2009)  26. Spohrer, J., Maglio, P.P.: Service science: Toward a smarter planet. In: Karwowski, W., Salvendy, G. (eds.) Introduction to service engineering. Wiley, New York (2010) 27. IfM, IBM: Succeeding through service innovation: a service perspective for education, research, business and government. University of Cambridge Institute for Manufacturing, Cambridge (2008) 

Value model ontology for service systems

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Value model ontology for service systems

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