Skip to main content

Towards a Data Science Environment for Modeling Business Ecosystems: The Connected Mobility Case

  • Conference paper
  • First Online:
New Trends in Databases and Information Systems (ADBIS 2017)

Abstract

Modeling the enterprise within its environment is constantly gaining more relevance in research and practice. This holistic view can be formalized as business ecosystem models (BEM). However, the BEM management process is a challenging task, which involves several stakeholders in a data-intensive process. In this paper, we adapted an existing data-science approach and introduced a tool called Business Ecosystem Explorer (BEEx) for supporting the BEM management process in the context of connected mobility. The BEEx provides role-based user interfaces, which empower end-users to manage the BEM. The evaluation of the BEEx was conducted with twelve companies, indicating the usefulness of the BEEx when fulfilling BE related tasks.

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 EPUB and 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

Institutional subscriptions

Notes

  1. 1.

    http://tum-llcm.de/en/.

  2. 2.

    https://vega.github.io/vega/.

  3. 3.

    https://d3js.org.

References

  1. Bosch, J.: Speed, data, and ecosystems: The future of software engineering. IEEE Softw. 33(1), 82–88 (2016)

    Article  MathSciNet  Google Scholar 

  2. Park, H., Bellamy, M.A., Basole, R.C.: Visual analytics for supply network management: System design and evaluation. Decis. Support Syst. 91, 89–102 (2016)

    Article  Google Scholar 

  3. Huhtamaki, J., Rubens, N.: Exploring innovation ecosystems as networks: Four european cases. In: Proceedings of the Annual Hawaii International Conference on System Sciences March 2016, pp. 4505–4514 (2016)

    Google Scholar 

  4. Basole, R.C., Huhtamäki, J., Still, K., Russell, M.G.: Visual decision support for business ecosystem analysis. Expert Syst. Appl. 65, 271–282 (2016)

    Article  Google Scholar 

  5. Evans, P.C., Basole, R.C.: Revealing the api ecosystem and enterprise strategy via visual analytics. Commun. ACM 59(2), 26–28 (2016)

    Article  Google Scholar 

  6. Adner, R.: The Wide Lens: What Successful Innovators See That Others Miss. Portfolio Penguin, New York (2013)

    Google Scholar 

  7. Satyanarayan, A., Heer, J.: Lyra: An interactive visualization design environment. Comput. Graphics Forum 33(3), 351–360 (2014)

    Article  Google Scholar 

  8. Akiki, P.A., Bandara, A.K., Yu, Y.: Rbuis: Simplifying enterprise application user interfaces through engineering role-based adaptive behavior. In: Proceedings of the 5th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2013, pp. 3–12. ACM, NY, USA (2013)

    Google Scholar 

  9. Hevner, A.R.: A three cycle view of design science research. Scand. J. Inf. Syst. 19(2), 4 (2007)

    Google Scholar 

  10. Mitchell, W.: Reinventing the Automobile : Personal Urban Mobility for the 21st Century. Massachusetts Institute of Technology, Cambridge (2010)

    Google Scholar 

  11. Etherington, D., Kolodny, L.: Google’s self-driving car unit becomes waymo (2016). https://techcrunch.com/2016/12/13/googles-self-driving-car-unit-spins-out-as-waymo/ Accessed 23 Jan 2017

  12. Taylor, M.: Apple confirms it is working on self-driving cars (2016). https://www.theguardian.com/technology/2016/dec/04/apple-confirms-it-is-working-on-self-driving-cars Accessed 23 Jan 2017

  13. Matthes, F., Neubert, C.: Wiki4eam - using hybrid wikis for enterprise architecture management. In: Proceedings of the International Symposium on Wikis and Open Collaboration (2011)

    Google Scholar 

  14. Rehm, S., Reschenhofer, T., Shumaiev, K.: Is design principles for empowering domain experts in innovation: Findings from three case studies. In: Proceedings of the International Conference on Information Systems (2014)

    Google Scholar 

  15. Reschenhofer, T., Bhat, M., Hernandez-Mendez, A., Matthes, F.: Lessons learned in aligning data and model evolution in collaborative information systems. In: Proceedings of the 38th International Conference on Software Engineering Companion, ICSE 2016, pp. 132–141. ACM, NY, USA (2016)

    Google Scholar 

  16. Iyer, B.R., Basole, R.C.: Visualization to understand ecosystems. Commun. ACM 59(11), 27–30 (2016)

    Article  Google Scholar 

  17. Satyanarayan, A., Russell, R., Hoffswell, J., Heer, J.: Reactive Vega: A streaming dataflow architecture for declarative interactive visualization. IEEE Trans. Vis. Comput. Graphics 22(1), 659–668 (2016)

    Article  Google Scholar 

  18. Roberto Lucchi, M.M., Elfers, C.: Resource oriented architecture and rest. Eur - scientific and technical research series, EUR 23397 EN - Joint Research Centre - Institute for Environment and Sustainability

    Google Scholar 

  19. Weiss, R.: Learning from strangers : the art and method of qualitative interview studies. Free Press, New York (1995)

    Google Scholar 

  20. Gläser, J., Laudel, G.: Experteninterviews und qualitative Inhaltsanalyse: als Instrumente rekonstruierender Untersuchungen. VS Verlag für Sozialwiss, Wiesbaden (2010)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Adrian Hernandez-Mendez .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Hernandez-Mendez, A., Faber, A., Matthes, F. (2017). Towards a Data Science Environment for Modeling Business Ecosystems: The Connected Mobility Case. In: Kirikova, M., et al. New Trends in Databases and Information Systems. ADBIS 2017. Communications in Computer and Information Science, vol 767. Springer, Cham. https://doi.org/10.1007/978-3-319-67162-8_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67162-8_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67161-1

  • Online ISBN: 978-3-319-67162-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics