An Approach to Digital Business Ecosystems based on Process Models

  • Nicola Boffoli
  • Marta Cimitile
  • Fabrizio M. Maggi
  • Giuseppe Visaggio
Conference paper


The Digital Business Ecosystem (DBE) is an organizational approach which allows competitive enterprises to cooperate with each other. It is necessary to put aside the operating realizations to formalize this new approach in order to build up a theory to base the empirical experimentation. This work is a contribution to the formalization with the goal of understanding how competitive enterprises with heterogeneous organizations and belonging to different areas, can coexist in a same DBE. The formalization proposed has a logical reading based on processes models. Thanks to the use of the process models it is possible to organize some tools which allow to quickly build platforms for DBE management and governance and to make this flexible to comply with the different operating modes foreseen by the management of the enterprises which are part of the DBE


Software Product Line Software Service Decision Table Business Goal Logical Reading 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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This research has been funded within the project “Distributed Production Innovative System” grant PS_092 Apulia Region


  1. 1.
    Peltoniemi M, Vuori E (2004) Business ecosystem as the new approach to complex adaptive business environments. Frontiers of e-business research, Tampere, FinlandGoogle Scholar
  2. 2.
    Nachira F, Nicolai A, Dini P, Le Louran M, Rivera Leon L (2007) Digital business ecosystems, European commission digital business ecosystems, luxembourg: office for official publications of the European communities. ISBN 92-79-01817-5Google Scholar
  3. 3.
    Nachira F (2002) Towards a network of digital business ecosystems fostering the local development. Retrieved on 16 Aug 2007
  4. 4.
    Chang V, Uden L (2008) Governance for E-learning ecosystem. In Proceedings of the 2nd IEEE international conference on digital ecosystems and technologies (IEEE DEST 2008), Phitsanulok, ThailandGoogle Scholar
  5. 5.
    Wang J, De Wilde P (2008) A model for digital business ecosystems and topological analisys. In IEEE international conference on services computing, Honolulu, HawaiiGoogle Scholar
  6. 6.
    Doukidis GI, Mylonopoulos N, Pouloudi N (2003) Social and economic transformation in the digital era. Idea Group Int ISBN: 1591402670, 2003Google Scholar
  7. 7.
    Boffoli N, Cimitile M, Maggi FM (2009) Business process lines: an approach to a flexible, process modelling. In Proceeding of the 4th conference on software and data technologies (ICSOFT), Sofia, BulgariaGoogle Scholar
  8. 8.
    Boffoli N, Cimitile M, Maggi FM, Visaggio G (2009) Managing SOA system variation through business process lines and process oriented development. Workshop on service-oriented architectures and software product lines (SOAPL 2009). In Proceedings of the 13th international software product line conference (SPLC), San Francisco, CaliforniaGoogle Scholar
  9. 9.
    Clements P, Northrop L (2001) Software product lines: practices and patterns. SEI Series in Software Engineering, Addison-Wesley, BostonGoogle Scholar
  10. 10.
    Yao Q, Chen Z, Wang H (2006) Improving flexibility and reusage of business process management: the role of cased-based reasoning technique. In Proceedings of the IEEE international conference on e-business engineering (ICEBE’06). IEEE Computer Society, Shanghai, ChinaGoogle Scholar
  11. 11.
    Yang Z, Yang N, Zhang Y (2005) The application of reusable pattern-based business modeling in equipment management. ACM international conference proceeding series vol 113 archive. In Proceedings of the 7th international conference on electronic commerce table of contents, München, GermanyGoogle Scholar
  12. 12.
    Malone TW, Crowston K, Herman GA (2003) Organizing business knowledge. The MIT process handbook. MIT Press, CambridgeGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Nicola Boffoli
    • 1
    • 2
  • Marta Cimitile
    • 1
    • 2
  • Fabrizio M. Maggi
    • 1
  • Giuseppe Visaggio
    • 1
    • 2
  1. 1.Department of InformaticsUniversity of BariBariItaly
  2. 2.SER&Practices spinoff of University of BariBariItaly

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