Towards a Unified Approach to Identify Business Model Patterns: A Case of E-Mobility Services

Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 279)

Abstract

The introduction of new technologies creates the pursuit for innovative business models. In order to compare and evaluate such models in new markets, business model patterns can support the provision of new insights. However, so far there is no agreed upon transparent approach that helps to identify these patterns. Based on a combination of established statistical methods we propose a systematical approach that allows to identify business model patterns of any given domain. In order to validate the approach, we apply it on a data set of 58 e-mobility projects and as a result identify five distinct and semantically meaningful business models types. This paper contributes on the one hand by suggesting a new approach to identify different patterns of business models and on the other hand provides a valuable insight of the current state of e-mobility service business models that can further drive the adoption.

Keywords

Business models Patterns Clustering E-Mobility services 

References

  1. 1.
    Kley, F., Lerch, C., Dallinger, D.: New business models for electric cars: a holistic approach. Energ. Policy 39, 3392–3403 (2011)CrossRefGoogle Scholar
  2. 2.
  3. 3.
    Spath, D., Rößler, A., Rose, H., Rothfuss, F., Satikidis, D., Scheffler, G.: SYSTEMANALYSE BW e MOBIL 2013: IKT- und Energieinfrastruktur für Innovative Mobilitätslösungen in Baden-Württemberg, 2nd edn. Fraunhofer, Stuttgart (2013)Google Scholar
  4. 4.
    Abdelkafi, N., Makhotin, S., Posselt, T.: Business model innovations for electric mobility: what can be learned from existing business modell patterns. Int. J. Innov. Manage. 17, 1–42 (2013)CrossRefGoogle Scholar
  5. 5.
    Cocca, S., Fabry, C., Stryja, C. (eds.): Dienstleistungen für Elektromobilität: Ergebnisse einer Expertenstudie. Fraunhofer, Stuttgart (2015)Google Scholar
  6. 6.
    Budde Christensen, T., Wells, P., Cipcigan, L.: Can innovative business models overcome resistance to electric vehicles? Better place and battery electric cars in Denmark. Energ. Policy 48, 498–505 (2012)CrossRefGoogle Scholar
  7. 7.
    Chesbrough, H., Rosenbloom, R.S.: The role of the business model in capturing value from innovation: evidence from Xerox Corporation’s technology spin-off companies. Ind. Corp. Ch. 11(3), 529–555 (2002)CrossRefGoogle Scholar
  8. 8.
    Bushmann, F., Meunier, R., Rohnert, H.: Pattern-Oriented Software Architecture: A System of Patterns. Wiley, Chichester (1996)Google Scholar
  9. 9.
    Weill, P., Malone, T., D’Urso, V., Herman, G., Woerner, S.: Do some business models perform better than others? A study of the 1000 largest US firms. MIT Center of Coordination Science, Working Paper No. 226, pp. 1–39 (2005)Google Scholar
  10. 10.
    Johnson, M.W.: Seizing the White Space: Business Model Innovation for Growth and Renewal. Harvard Business Press, Boston (2010)Google Scholar
  11. 11.
    Osterwalder, A., Pigneur, Y.: Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. Wiley, New York (2010)Google Scholar
  12. 12.
    Gassmann, O., Frankenberger, K., Csik, M.: Geschäftsmodelle Entwickeln: 55 Innovative Konzepte mit dem St. Galler Business Model Navigator. Hanser, München (2013)CrossRefGoogle Scholar
  13. 13.
    Andrew, J., Sirkin, H.: Cashquelle Innovation: Wie aus Ideen Gewinne Sprudeln. Hanser, München (2007)Google Scholar
  14. 14.
    Echterfeld, J., Amshoff, B., Gausemeier, J.: How to use business model patterns for exploiting disruptive technologies. In: 24th International Conference on Management of Technology, International Association for Management of Technology, pp. 2294–2313 (2015)Google Scholar
  15. 15.
    Hartmann, P.M., Zaki, M., Feldmann, N., Neely, A.: Capturing value from big data: a taxonomy of data-driven business models used by start-up firms. Int. J. Oper. Prod. Man. 36(10), 1382–1406 (2016)CrossRefGoogle Scholar
  16. 16.
    Zott, C., Amit, R., Massa, L.: The business model: recent developments and future research. J. Manage. 37, 1019–1042 (2011)Google Scholar
  17. 17.
    Schneider, S., Spieth, P.: Business model innovation: towards an integrated future research agenda. Int. J. Innov. Man. 17(1), 1–34 (2013)Google Scholar
  18. 18.
    Spieth, P., Schneckenberg, D., Ricart, J.E.: Business model innovation: state of the art and future challenges for the field. R&D Manage. 44, 237–247 (2014)CrossRefGoogle Scholar
  19. 19.
    Kuehl, N., Walk, J., Stryja, C., Satzger, G.: Towards a service–oriented business model framework for e-mobility. In: European Battery, Hybrid and Fuel Cell Electric Vehicle Congress, pp. 1–9 (2015)Google Scholar
  20. 20.
    Bundesministerium für Wirtschaft und Technologie Bundesministerium (eds.) Regierungsprogramm Elektromobilität. Bundesregierung, Berlin (2011)Google Scholar
  21. 21.
    Dudenhöffer, K.: Why electric vehicles failed. J. Man. Control 24(2), 95–124 (2013)CrossRefGoogle Scholar
  22. 22.
    Ghaziani, A., Ventresca, M.J.: Keywords and cultural change: frame analysis of business model public talk. Sociol. Forum 20(4), 523–559 (2005)CrossRefGoogle Scholar
  23. 23.
    Burkhart, T., Werth, D., Krumeich, J., Loos, P.: Analyzing the business model concept: a comprehensive classification. In: 2011 International Conference on Information Systems, pp. 1–19. Association for Information Systems, Shanghai (2011)Google Scholar
  24. 24.
    Schüritz, R., Satzger, G.: Patterns of data-infused business model innovation. In: 18th Conference on Business Informatics Proceedings, pp. 133–142. IEEE Press, Paris (2016)Google Scholar
  25. 25.
    Handberg, K., Owen, G.: Electric vehicles as grid support. In: Beeton, D., Meyer, G. (eds.) Electric Vehicle Business Models: Global Perspectives. Lecture Notes in Mobility, pp. 129–146. Springer, Cham (2015)Google Scholar
  26. 26.
    Williander, M., Stålstad, C.: Four business models for a fast commercialization of plug-in cars. In: Beeton, D., Meyer, G. (eds.) Electric Vehicle Business Models: Global Perspectives. Lecture Notes in Mobility, pp. 129–146. Springer, Cham (2015)Google Scholar
  27. 27.
    Alexander, C.: The Timeless Way of Building. Oxford University Press, New York (1979)Google Scholar
  28. 28.
    Johnson, M., Christensen, C., Kagermann, H.: Reinventing Your Business Model. Harv. Bus. Rev. 86, 57–68 (2008)Google Scholar
  29. 29.
    Osterwalder, A.: The Business Model Ontology: A Proposition in a Design Science Approach. Dissertation, University of Lausanne (2004)Google Scholar
  30. 30.
    Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery: an overview. In: Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.) Advantages in Knowledge Discovery and Data Mining, pp. 37–54. American Association for Artificial Intelligence, Menlo Park (1996)Google Scholar
  31. 31.
    Halkidi, M.: On clustering validation techniques. J. Intel. Inf. Syst. 17, 107–145 (2001)CrossRefMATHGoogle Scholar
  32. 32.
    Miligan, G.: Clustering Validation: Results and Implications for Applied Analyses. World Scientific, New York (1996)Google Scholar
  33. 33.
    Pyle, D.: Data Preparation for Data Mining. Morgan Kaufmann, San Francisco (1999)Google Scholar
  34. 34.
    Han, J., Kamber, M.: Data Mining: Concept and Techniques, 2nd edn. Morgan Kaufmann, San Francisco (2006)MATHGoogle Scholar
  35. 35.
    Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, New York (1990)CrossRefMATHGoogle Scholar
  36. 36.
    Rajaraman, A., Ullman, J.D.: Mining of Massive Datasets. Cambridge University Press, Cambridge (2012)Google Scholar
  37. 37.
    Han, J., Kamber, M., Pei, J.: Data Mining: Concept and Techniques, 3rd edn. Morgan Kaufmann, San Francisco (2011)MATHGoogle Scholar
  38. 38.
    Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65 (1987)CrossRefMATHGoogle Scholar
  39. 39.
    Ketchen, D., Shook, C.: The application of cluster analysis in strategic management research: an analysis and critique. Strateg. Manage. J. 17, 441–458 (1996)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Karlsruhe Service Research Institute (KSRI)Karlsruhe Institute of Technology (KIT)KarlsruheGermany

Personalised recommendations