Skip to main content

Digital Ecosystems for Business e-Services in Knowledge-Intensive Firms

  • Chapter
Business System Management and Engineering

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7350))

Abstract

In this day and age, firms compete by the skills and knowledge of their employees to deliver a range of customized solutions to meet their clients’ needs. Knowledgeable workers thereby play a pivotal role in today’s knowledge-based economy. In knowledge-intensive business service (KIBS) firms, service providers exchange explicit knowledge with service customers through various delivery channels. Information and communication technologies have led to the development of various delivery channels to provide e-services to customers and, consequently, the emergence of digital ecosystems fostering the flourishing of knowledge-intensive firms. In this paper, we study the development of digital ecosystems of business services. We particularly examine the design of the digital business ecosystem as a holistic system consisting of distributed and fine-grained elements, known as service systems. Based on the challenging characteristics of services, a service system exhibits its computational features in terms of Software-as-a-Service components and exchanges business knowledge encapsulated as business artifacts.

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

Access this chapter

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 49.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Checkland, P.: Systems Thinking, Systems Practice. John Wiley & Sons, New York (1981)

    Google Scholar 

  2. Peng, Y., Badr, Y., Biennier, F.: A Dynamic Representation Model for Service Systems. In: International Proceeding ICSS, May 13-14 (2010)

    Google Scholar 

  3. de Man, H.: Case Management: A Review of Modeling Approaches. BPTrends, Cordys (January 2009), http://www.bptrends.com/publicationfiles/01-09-ART-%20Case%20Management-1-DeMan.%20doc--final.pdf/ (accessed in 2010)

  4. Peng, Y., Badr, Y., Biennier, F.: Designing Data-Driven Collaboration in Service Systems. In: International Proceeding NISS, May 11-13 (2010)

    Google Scholar 

  5. Grésillon, A.: Eléments de critique génétique: lire les manuscrits modernes, P.U.F., p. 258 (1994)

    Google Scholar 

  6. Cohn, D., Hull, R.: Business Artifacts: A Data-centric Approach to Modeling Business Operations and Processes. IEEE Data Engineering 32(3), 3–9 (2009)

    Google Scholar 

  7. Bhattacharya, K., Caswell, N.S., Kumaran, S., Nigam, A., Wu, F.Y.: Artifact-centered operational modeling: lessons from customer engagements. IBM Syst. J. 46, 703–721 (2007)

    Article  Google Scholar 

  8. MC-eGov Study on Multi-channel Delivery. Strategies and Sustainable Business Models for Public Services addressing socially. Disadvantaged Groups, http://www.mcegov.eu/media/452/think%20paper%201%20final.pdf/ (accessed in 2009)

  9. Badr, Y., Caplat, G.: Software as a Service and Versionology: Towards Innovative Service Differentiation. In: International Confierence AINA 2010, Perth, Australia, April 20-23 (2010)

    Google Scholar 

  10. Aslesen, H.W.: Knowledge Intensive Business Services and Urban Industrial Development. The Service Industries Journal 27(3), 321–338 (2007)

    Article  Google Scholar 

  11. Muller, Doloreux, D.: What we should know about knowledge-intensive business services. Technology in Society 31(1), 64–72 (2009)

    Article  Google Scholar 

  12. Hamdouch, Moulaert, F.: Knowledge Infrastructure, Innovation Dynamics, and Knowledge Creation, Diffusion, Accumulation Processes: A comparative institutional perspective. The European Journal of Social Science Research, 1469-8412 19(1), 25–50 (2006)

    Article  Google Scholar 

  13. Sampson: Foundations and Implications of a Proposed Unified Services Theory. Production and Operation Management Society (POMS) 15(2), 329–343 (2006)

    Article  Google Scholar 

  14. Ko, R.K.L., Lee, S.S.G., Lee, E.W.: Business Process Management (BPM) Standards: A Survey. Business Process Management Journal 15(5), 744–791 (2009)

    Article  Google Scholar 

  15. Saas Data Architecture, An Oracle White Paper (October 2008), http://www.oracle.com/technology/tech/saas/pdf/saas-data-architecture-whitepaper.pdf/ (accessed in 2010)

  16. Razavi, A., Moschoyiannis, S., Krause, P.: An Open Digital Environment to Support Business Ecosystems. Journal Peer-to-Peer Networking and Applications, 367–397 (2009)

    Google Scholar 

  17. Moore, J.F.: The Death of Competition: Leadership & Strategy in the Age of Business Ecosystems, pp. 9–26. Harper Business, New York (1996)

    Google Scholar 

  18. Moore, J.F.: The Rise of a New Corporate Form. Washington Quarterly 21(1), 167–181 (1998)

    Article  Google Scholar 

  19. Peltoniemi, M., Vuori, E.: Business ecosystem as the new approach to complex adaptive business environments

    Google Scholar 

  20. Iansiti, M., Levien, R.: The Keystone Advantage: What the New Dynamics of Business Ecosystems Mean for Strategy, Innovation, and Sustainability, 225 p. Harward Business School Press (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Badr, Y., Peng, Y., Biennier, F. (2012). Digital Ecosystems for Business e-Services in Knowledge-Intensive Firms. In: Ardagna, C.A., Damiani, E., Maciaszek, L.A., Missikoff, M., Parkin, M. (eds) Business System Management and Engineering. Lecture Notes in Computer Science, vol 7350. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32439-0_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32439-0_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32438-3

  • Online ISBN: 978-3-642-32439-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics