Skip to main content

Performance Modeling for Collaborative Enterprises: Review and Discussion

  • Conference paper

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 194))

Abstract

In the last years, new challenges have arisen for Information Systems (IS) due to the movement towards a society driven by collaboration, whereas Collaborative Enterprises are used as catalysts of competitive advantages. In this context, conceptual modeling can help in the understanding of complex entities and in the development of specific Enterprise IS for intra- and inter-organizational settings. Indeed, the understanding of the domain of analysis is a key-step in the development of IS. In particular, a challenge is posed by the performance management in inter-organizational settings. However, there are still few works that take into account performance related aspects for collaborative enterprises. The aim of this work is to provide a systematic review of literature in order to retrieve, classify, and summarize existing research on performance modeling and to identify areas and opportunities for future research.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bititci, U., Garengo, P., Dörfler, V., Nudurupati, S.: Performance Measurement: Challenges for Tomorrow. Int. J. Manag. Rev. 14, 305–327 (2012)

    Article  Google Scholar 

  2. Bititci, U.S., Butler, P., Cahill, W., Kearney, D.: Collaboration: a key competence for competing in the 21st century (2008)

    Google Scholar 

  3. FInES Research Roadmap Task Force: Future Internet Enterprise Systems (FInES)- Research Roadmap (2010)

    Google Scholar 

  4. Bititci, U.S., Martinez, V., Albores, P., Parung, J.: Creating and managing value in collaborative networks. Int. J. Phys. Distrib. Logist. Manag. 34, 251–268 (2004)

    Article  Google Scholar 

  5. Kaplan, R.S., Norton, D.P., Rugelsjoen, B.: Managing Alliances with the Balanced Scorecard. Harv. Bus. Rev., 114–121 (2010)

    Google Scholar 

  6. Lillehagen, F., Krogstie, J.: Active Knowledge Modeling of Enterprises. Springer, Heidelberg (2008)

    Book  Google Scholar 

  7. Comuzzi, M., Vonk, J., Grefen, P.: Measures and mechanisms for process monitoring in evolving business networks. Data Knowl. Eng. 71, 1–28 (2012)

    Article  Google Scholar 

  8. Comuzzi, M., Vanderfeesten, I., Wang, T.: Optimized cross-organizational business process monitoring: Design and enactment. Inf. Sci. (Ny) 244, 107–118 (2013)

    Article  Google Scholar 

  9. Pan, Y., Tang, Y., Gulliver, S.R.: Artefact-Oriented Business Process Modeling An Ontological Dependency Approach (2004)

    Google Scholar 

  10. Kulkarni, V.: Modeling and Enterprises–the past, the present and the future. Empir. Stud. Softw. Model. 63 (2012)

    Google Scholar 

  11. Strecker, S., Frank, U., Heise, D., Kattenstroth, H.: MetricM: a modeling method in support of the reflective design and use of performance measurement systems. Inf. Syst. E-bus. Manag. 10, 241–276 (2011)

    Article  Google Scholar 

  12. Frank, U.: Multi-perspective enterprise modeling: foundational concepts, prospects and future research challenges. Softw. Syst. Model. (2012)

    Google Scholar 

  13. Caglio, A., Ditillo, A.: A review and discussion of management control in inter-firm relationships: Achievements and future directions. Elsevier Ltd. (2008)

    Google Scholar 

  14. Evermann, J., Wand, Y.: Ontology based object-oriented domain modeling: fundamental concepts. Requir. Eng. 10, 146–160 (2005)

    Article  Google Scholar 

  15. Tranfield, D., Denyer, D., Smart, P.: Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br. J. Manag. 14, 207–222 (2003)

    Article  Google Scholar 

  16. Grubic, T., Fan, I.-S.: Supply chain ontology: Review, analysis and synthesis. Comput. Ind. 61, 776–786 (2010)

    Article  Google Scholar 

  17. Davis, R., Brabnder, E.: ARIS Design Platform. Springer (2007)

    Google Scholar 

  18. Doumeingts, G., Vallespir, B., Chen, D.: GRAI grid decisional modeling. In: Handbook on Architectures of Information Systems, pp. 313–337. Springer (1998)

    Google Scholar 

  19. Chen, D., Vallespir, B., Doumeingts, G.: GRAI integrated methodology and its mapping onto generic enterprise reference architecture and methodology. Comput. Ind. 33, 387–394 (1997)

    Article  Google Scholar 

  20. Pedrinaci, C., Lambert, D., Wetzstein, B., van Lessen, T., Cekov, L., Dimitrov, M.: SENTINEL: a semantic business process monitoring tool. In: Proceedings of the First International Workshop on Ontology-supported Business Intelligence, p. 1. ACM (2008)

    Google Scholar 

  21. Zeise, N., Link, M., Ortner, E.: Controlling of dynamic enterprises by indicators–A foundational approach. In: Muehlen, M.Z., Su, J. (eds.) BPM 2010 Workshops. LNBIP, vol. 66, pp. 521–530. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  22. Niedritis, A., Niedrite, L., Kozmina, N.: Performance Measurement Framework with Formal

    Google Scholar 

  23. Bertolazzi, P., Krusich, C., Missikoff, M.: An approach to the definition of a core enterprise ontology: CEO. OES-SEO 2001. In: International Workshop on Open Enterprise Solutions: Systems, Experiences, and Organizations, pp. 14–15. Citeseer (2001)

    Google Scholar 

  24. Caputo, E., Corallo, A., Damiani, E., Passiante, G.: KPI Modeling in MDA Perspective. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6428, pp. 384–393. Springer, Heidelberg (2010)

    Google Scholar 

  25. Nurmi, A., Moyaux, T., Botta-Genoulaz, V.: Towards semantic performance measurement systems for supply chain management. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6428, pp. 239–248. Springer, Heidelberg (2010)

    Google Scholar 

  26. Matthes, F., Monahov, I., Schneider, A.W., Schulz, C.: Towards a Unified and Configurable Structure for EA Management KPIs. In: Aier, S., Ekstedt, M., Matthes, F., Proper, E., Sanz, J.L. (eds.) PRET 2012 and TEAR 2012. LNBIP, vol. 131, pp. 284–299. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  27. Uschold, M., Grüninger, M.: Ontologies: principles, methods, and applications. Knowl. Eng. Rev. 11, 93–155 (1996)

    Article  Google Scholar 

  28. Baader, F., Horrocks, I., Sattler, U.: Description logics. In: Handbook on Ontologies, pp. 3–28. Springer (2004)

    Google Scholar 

  29. Pourshahid, A., Amyot, D., Peyton, L., Ghanavati, S., Chen, P., Weiss, M., Forster, A.J.: Business process management with the user requirements notation. Electron. Commer. Res. 9, 269–316 (2009)

    Article  Google Scholar 

  30. Popova, V., Sharpanskykh, A.: Modeling organizational performance indicators. Inf. Syst. 35, 505–527 (2010)

    Article  Google Scholar 

  31. Maté, A., Trujillo, J., Mylopoulos, J.: Conceptualizing and Specifying Key Performance Indicators in Business Strategy Models. In: Atzeni, P., Cheung, D., Ram, S. (eds.) ER 2012. LNCS, vol. 7532, pp. 282–291. Springer, Heidelberg (2012)

    Google Scholar 

  32. Barone, D., Jiang, L., Amyot, D., Mylopoulos, J.: Composite indicators for business intelligence. In: Jeusfeld, M., Delcambre, L., Ling, T.-W. (eds.) ER 2011. LNCS, vol. 6998, pp. 448–458. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  33. Frank, U., Heise, D., Kattenstroth, H., Schauer, H.: Designing and Utilising Business Indicator Systems within Enterprise Models-Outline of a Method. In: MobIS, pp. 89–105 (2008)

    Google Scholar 

  34. Frank, U., Heise, D., Kattenstroth, H.: Use of a domain specific modeling language for realizing versatile dashboards. In: Proceedings of the 9th OOPSLA Workshop on Domain-Specific Modeling (DSM) (2009)

    Google Scholar 

  35. Dietz, J.: Enterprise Ontology: Theory and Methodology. Springer (2006)

    Google Scholar 

  36. Del-Río-Ortega, A., Resinas, M., Ruiz-Cortés, A.: Defining Process Performance Indicators: An Ontological Approach. In: Meersman, R., Dillon, T.S., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6426, pp. 555–572. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  37. Wetzstein, B., Ma, Z., Leymann, F.: Towards measuring key performance indicators of semantic business processes. In: Abramowicz, W., Fensel, D. (eds.) BIS 2008. LNBIP, vol. 7, pp. 227–238. Springer, Heidelberg (2008)

    Google Scholar 

  38. Diamantini, C., Potena, D., Storti, E.: A Logic-Based Formalization of KPIs for Virtual Enterprises. In: Franch, X., Soffer, P. (eds.) CAiSE Workshops 2013. LNBIP, vol. 148, pp. 274–285. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  39. de Alencar Silva, P., Weigand, H.: Enterprise monitoring ontology. In: Jeusfeld, M., Delcambre, L., Ling, T.-W. (eds.) ER 2011. LNCS, vol. 6998, pp. 132–146. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  40. Dietz, J.L.G.: Enterprise Ontology. Springer, Heidelberg (2006)

    Book  Google Scholar 

  41. Andersson, B., et al.: Towards a reference ontology for business models. In: Embley, D.W., Olivé, A., Ram, S. (eds.) ER 2006. LNCS, vol. 4215, pp. 482–496. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  42. Guarino, N.: Understanding, Building and Using Ontologies: a Commentary to Using Explicit Ontologies in KBS Development. Int. J. Hum. Comput. Stud. 46, 293–310 (1997)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Livieri, B., Bochicchio, M. (2014). Performance Modeling for Collaborative Enterprises: Review and Discussion. In: Johansson, B., Andersson, B., Holmberg, N. (eds) Perspectives in Business Informatics Research. BIR 2014. Lecture Notes in Business Information Processing, vol 194. Springer, Cham. https://doi.org/10.1007/978-3-319-11370-8_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11370-8_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11369-2

  • Online ISBN: 978-3-319-11370-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics