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Evaluating and Influencing the Performance of a Collaborative Business Ecosystem – A Simulation Study

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Boosting Collaborative Networks 4.0 (PRO-VE 2020)

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Abstract

In a Collaborative Business Ecosystem, organisations collaborate to acquire and accomplish more innovative and challenging market opportunities. But the sustainability of collaboration requires continuous performance improvement. To this end, well-defined performance indicators can be used to both assess the collaboration level and act as an influence mechanism to induce an improvement in the collaborative behaviour of the participating organisations. By varying the importance (weight) of the adopted set of indicators, it is possible to study the variations in behaviour towards improvement, not only at organisations’ level but also at the level of the ecosystem as a whole. In order to assess this hypothesis, this paper contains a case study based on simulation and agent-based modelling whose behaviour is shaped according to actual data on collaboration collected from three companies in the area of the IT industry. Various scenarios are simulated and described.

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References

  1. Ramezani, J., Camarinha-Matos, L.M.: Approaches for resilience and antifragility in collaborative business ecosystems. Technol. Forecast. Soc. Chang. 151, 119846 (2020)

    Article  Google Scholar 

  2. Moore, J.F.: Predators and prey: a new ecology of competition. Harvard Bus. Rev. 71(3), 75–86 (1993)

    Google Scholar 

  3. Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative networks: a new scientific discipline. J. Intell. Manuf. 16(45), 439–452 (2005)

    Article  Google Scholar 

  4. Graça, P., Camarinha-Matos, L.M.: The need of performance indicators for collaborative business ecosystems. In: Camarinha-Matos, L.M., Baldissera, Thais A., Di Orio, G., Marques, F. (eds.) DoCEIS 2015. IAICT, vol. 450, pp. 22–30. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-16766-4_3

    Chapter  Google Scholar 

  5. Kaplan, R.S., Norton, D.P.: The Balanced Scorecard: Translating Strategy into Action. Harvard Business Press, Boston (1996)

    Google Scholar 

  6. Duan, L.N., Park, K.H.: Applying the balanced scorecard to collaborative networks. In: 2010 6th International Conference on Advanced Information Management and Service (IMS), pp. 131–134. IEEE (2010)

    Google Scholar 

  7. Schmitt, J., Trang, T.N., Kolbe, M.: Steering information technology in collaborative networks. In: First International Conference on Resource Efficiency in Interorganizational Networks-ResEff 2013, pp. 180 (2013)

    Google Scholar 

  8. Bhagwat, R., Sharma, M.K.: Performance measurement of supply chain management: a balanced scorecard approach. Comput. Ind. Eng. 53(1), 43–62 (2007)

    Article  Google Scholar 

  9. Motadel, M.R., Amiran, H., Etemad, S.H.: Presenting a mathematical model for evaluation of the (effectiveness of) supply chain management through balanced scorecard approach (a case study of isaco corporation). In: Not (2012)

    Google Scholar 

  10. Chang, H.H., Hung, C.-J., Wong, K.H., Lee, C.-H.: Using the balanced scorecard on supply chain integration performance - a case study of service businesses. Serv. Bus. 7(4), 539–561 (2013)

    Article  Google Scholar 

  11. Camarinha-Matos, L.M., Macedo, P.: A conceptual model of value systems in collaborative networks. J. Intell. Manuf. 21(3), 287–299 (2010)

    Article  Google Scholar 

  12. Macedo, P., Camarinha-Matos, L.M.: A qualitative approach to assess the alignment of value systems in collaborative enterprises networks. Comput. Ind. Eng. 64(1), 412–424 (2013)

    Article  Google Scholar 

  13. Ramanathan, U.: Performance of supply chain collaboration - a simulation study. Expert Syst. Appl. 41(1), 210–220 (2014). 21st Century Logistics and Supply Chain Management

    Article  Google Scholar 

  14. Vereecke, A., Muylle, S.: Performance improvement through supply chain collaboration in Europe. Int J. Oper. Prod. Manag. 26(11), 1176–1198 (2006)

    Article  Google Scholar 

  15. Ramanathan, U., Gunasekaran, A., Subramanian, N.: Supply chain collaboration performance metrics: a conceptual framework. Benchmarking Int. J. 18(6), 856–872 (2011)

    Article  Google Scholar 

  16. Ramanathan, U., Gunasekaran, A.: Supply chain collaboration: Impact of success in long-term partnerships. Int. J. Prod. Econ. 147, 252–259 (2014)

    Article  Google Scholar 

  17. M. O Jackson. Social and economic networks, volume 3. Princeton university press Princeton, 2008

    Google Scholar 

  18. Camarinha-Matos, L.M., Abreu, A.: Performance indicators for collaborative networks based on collaboration benefits. Prod. Plan. Control 18(7), 592–609 (2007)

    Article  Google Scholar 

  19. Abreu, A., Camarinha-Matos, L.M.: An approach to measure social capital in collaborative networks. In: Camarinha-Matos, L.M., Pereira-Klen, A., Afsarmanesh, H. (eds.) PRO-VE 2011. IAICT, vol. 362, pp. 29–40. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23330-2_4

    Chapter  Google Scholar 

  20. Graça, P., Camarinha-Matos, L.M.: A proposal of performance indicators for collaborative business ecosystems. In: Afsarmanesh, H., Camarinha-Matos, L.M., Lucas Soares, A. (eds.) PRO-VE 2016. IAICT, vol. 480, pp. 253–264. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45390-3_22

    Chapter  Google Scholar 

  21. Graça, P., Camarinha-Matos, L.M.: Evolution of a collaborative business ecosystem in response to performance indicators. In: Camarinha-Matos, L.M., Afsarmanesh, H., Fornasiero, R. (eds.) PRO-VE 2017. IAICT, vol. 506, pp. 629–640. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65151-4_55

    Chapter  Google Scholar 

  22. Kelly, M.: FT 1000: the fourth annual list of Europe’s fastest-growing companies (2020)

    Google Scholar 

  23. Zaheer, A., Gözübüyük, R., Milanov, H.: It’s the connections: the network perspective in interorganizational research. Acad. Manag. Perspect. 24(1), 62–77 (2010)

    Google Scholar 

  24. Coleman, J.S.: Social capital in the creation of human capital. Am. J. Sociol. 94, S95–S120 (1988)

    Article  Google Scholar 

  25. Burt, R.S.: The network structure of social capital. Res. Organ. Behav. 22, 345–423 (2000)

    Google Scholar 

  26. Freeman, L.C.: Centrality in social networks conceptual clarification. Soc. Netw. 1(3), 215–239 (1978)

    Article  Google Scholar 

  27. Freeman, L.C.: A set of measures of centrality based on betweenness. Sociometry 40(1), 35–41 (1977)

    Article  Google Scholar 

  28. Burt, R.S.: Reinforced structural holes. Soc. Netw. 43, 149–161 (2015)

    Article  Google Scholar 

  29. Provan, K.G., Fish, A., Sydow, J.: Interorganizational networks at the network level: a review of the empirical literature on whole networks. J. Manag. 33(3), 479–516 (2007)

    Google Scholar 

  30. Barabási, A.-L.: Linked: the new science of networks. Am. J. Phys. 71(4), 409–410 (2003)

    Article  Google Scholar 

  31. Opsahl, T., Agneessens, F., Skvoretz, J.: Node centrality in weighted networks: generalizing degree and shortest paths. Soc. Netw. 32(3), 245–251 (2010)

    Article  Google Scholar 

  32. Brandes, U.: A faster algorithm for betweenness centrality. J. Math. Sociol. 25(2), 163–177 (2001)

    Article  Google Scholar 

  33. Ferreira, M.P., Armagan, S.: Using social networks theory as a complementary perspective to the study of organizational change. BAR Braz. Adm. Rev. 8, 168–184 (2011)

    Article  Google Scholar 

  34. Ahuja, G., Soda, G., Zaheer, A.: The genesis and dynamics of organizational networks. Organ. Sci. 23(2), 434–448 (2012)

    Article  Google Scholar 

  35. Borshchev, A.: The Big Book of Simulation Modeling: multimethod Modeling with AnyLogic 6. AnyLogic North America (2013)

    Google Scholar 

  36. Bastian, M., Heymann, S., Jacomy, M.: Gephi: An open source software for exploring and manipulating networks (2009)

    Google Scholar 

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Acknowledgements

This work benefited from the ongoing research within the CoDIS (Collaborative Networks and Distributed Industrial Systems Group) which is part of both the Nova University of Lisbon (UNL) - Faculty of Sciences and Technology and the UNINOVA - CTS (Center of Technology and Systems). Partial support also comes from Fundação para a Ciência e Tecnologia through the program UIDB/00066/2020, and European Commission through the project DiGiFoF (Nr. 601089-EPP-1-2018-1-RO-EPPKA2-KA).

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Correspondence to Paula Graça or Luís M. Camarinha-Matos .

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Graça, P., Camarinha-Matos, L.M. (2020). Evaluating and Influencing the Performance of a Collaborative Business Ecosystem – A Simulation Study. In: Camarinha-Matos, L.M., Afsarmanesh, H., Ortiz, A. (eds) Boosting Collaborative Networks 4.0. PRO-VE 2020. IFIP Advances in Information and Communication Technology, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-030-62412-5_1

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  • DOI: https://doi.org/10.1007/978-3-030-62412-5_1

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