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Agency Monitoring Patterns for Value Networks

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Economics of Grids, Clouds, Systems, and Services (GECON 2017)

Abstract

Value network models represent an arrangement of actors, activities and objects of business value configured to satisfy a market segment’s need. As some actors might act unreliably due to unpredicted weaknesses, opportunism that threat value co-creation, monitoring becomes an issue necessary for designing a realistic value model. The research question addressed in this paper is how value network models could be designed with a preventive monitoring organization. We therefore propose a monitoring task ontology and five agency communication patterns for this end. The ontology blends principles of Multiple Agency, Speech Acts, Enterprise Ontology and Value Modeling. We demonstrate the utility of the ontology with a case-based scenario from the Smart Metering markets, and a conformity-test supported by the e3value tool. The case scenario comes from the Directive 2009/72/EC of the European Parliament.

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References

  1. Normann, R., Ramírez, R.: From value chain to value constellation: designing interactive strategy. Harvard Bus. Rev. 71(4), 65–77 (1993)

    Google Scholar 

  2. Gordijn, J., Akkermans, J.M.: Value-based requirements engineering: exploring innovative e-commerce ideas. Requirements Eng. 8(2), 114–134 (2003)

    Article  Google Scholar 

  3. Eisenhardt, K.M.: Agency theory: an assessment and review. Acad. Manag. Rev. 14(1), 57–74 (1969)

    Google Scholar 

  4. Jacobides, M.G., Croson, D.C.: Information policy: shaping the value of agency rela-tionships. Acad. Manag. Rev. 26(2), 202–223 (2001)

    Google Scholar 

  5. Freeman, J., Rossi, J.: Agency coordination in shared regulatory space. Harvard Law Rev. 125(5), 1134–1209 (2012)

    Google Scholar 

  6. Wieringa, R.J.: Design Science Methodology for Information Systems and Software Engineering. Springer, Heidelberg (2014)

    Book  Google Scholar 

  7. Cameron, K.: Critical Questions in Assessing Organizational Effectiveness. Org. Dyn. 9(2), 66–80 (1980)

    Article  Google Scholar 

  8. Gómez-Pérez, A.: Ontology evaluation. In: Staab, S., et al. (eds.) Handbook on Ontologies, pp. 251–273. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  9. European Parliament, Council of the European Union: Directive 2009/72/EC of the European Parliament and of the Council of 13 July 2009 concerning common rules for the internal market in electricity and repealing Directive 2003/54/EC (Text with EEA relevance). Official Journal of the European Union, L 211, 14 August 2009

    Google Scholar 

  10. Dietz, J.L.G.: Enterprise Ontology: Theory and Methodology. Springer, Heidelberg (2006)

    Book  Google Scholar 

  11. Searle, J.R., Vanderveken, D.: Foundations of Illocutionary Logic. Cambridge University Press (1985)

    Google Scholar 

  12. Ferraiolo, D.F., Sandhu, R., Gavrila, S., Kuhn, D.R., Chandramouli, R.: Proposed NIST standard for role-based access control. ACM Trans. Inf. Syst. Secur. 4(3), 224–274 (2001)

    Article  Google Scholar 

  13. Vargo, S.L., Akaka, M.A.: A service-dominant logic as a foundation for service science: clarifications. Serv. Sci. 1(1), 32–41 (2009)

    Article  Google Scholar 

  14. Loucopoulos, P., Kavakli, V.: Enterprise knowledge management and conceptual modelling. In: Goos, G., Hartmanis, J., van Leeuwen, J., Chen, Peter P., Akoka, J., Kangassalu, H., Thalheim, B. (eds.) Conceptual Modeling. LNCS, vol. 1565, pp. 123–143. Springer, Heidelberg (1999). doi:10.1007/3-540-48854-5_11

    Chapter  Google Scholar 

  15. Mankiw, N.G.: Principles of Economics, 7th edn. Cengage Learning, Stamford (2014)

    Google Scholar 

  16. Parasuraman, A., Berry, L.L., Zeithaml, V.A.: Refinement and reassessment of the SERVQUAL scale. J. Retail. 67(4), 420–450 (1991)

    Google Scholar 

  17. Lapierre, J.: Customer-perceived value in industrial contexts. J. Bus. Ind. Mark. 15(2–3), 122–145 (2000)

    Article  Google Scholar 

  18. Biggemann, S., Buttle, F.: Intrinsic value of business-to-business relationships: an empirical taxonomy. J. Bus. Res. 65(8), 1132–1138 (2012)

    Article  Google Scholar 

  19. Steedman, I.: Positive profits with negative surplus value. Econ. J. 85(337), 114–123 (1975)

    Article  Google Scholar 

  20. Kesting, P., Günzel-Jensen, F.: SMEs and new ventures need business model sophistication. Bus. Horiz. 58(3), 285–293 (2015)

    Article  Google Scholar 

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Correspondence to Patrício de Alencar Silva .

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de Alencar Silva, P., Allah Bukhsh, F., da Silva Reis, J., de Castro, A.F. (2017). Agency Monitoring Patterns for Value Networks. In: Pham, C., Altmann, J., Bañares, J. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2017. Lecture Notes in Computer Science(), vol 10537. Springer, Cham. https://doi.org/10.1007/978-3-319-68066-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-68066-8_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68065-1

  • Online ISBN: 978-3-319-68066-8

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