Abstract
Complex value creation networks have evolved as a substantial challenge for entrepreneurship in many industries. Value Delivery Architecture Modeling is a new approach to respond to this challenge by enabling people to understand the value creation network and by supporting the successful positioning of a company within this network. Consequently, Value Delivery Architecture Modeling allows for analyzing, evaluating and designing business models and their embeddedness in the value creation network. Value Delivery Architecture Modeling is based on the combination of the new business modeling language Value Delivery Modeling Language and semi-formal ontologies. The initial application of this new approach in the area of fast charging infrastructure in Germany shows promising results. The developed artifacts create an explicit frame of reference for the value creation network which can be useful in various situations. Value Delivery Architecture Modeling hereby addresses the understanding about the value network and enables the creation of novel value propositions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Al-Debei, M. M., & Avison, D. (2010). Developing a unified framework of the business model concept. European Journal of Information Systems, 19(3), 359–376.
Barriball, K. L., & While, A. (1994). Collecting data using a semi‐structured interview: A discussion paper. Journal of Advanced Nursing, 19(2), 328–335.
Burnard, P. (1991). A method of analysing interview transcripts in qualitative research. Nurse Education Today, 11(6), 461–466.
Day, G. S. (1981). Strategic market analysis and definition: An integrated approach. Strategic Management Journal, 2(3), 281–299.
Diefenbach, T. (2009). Are case studies more than sophisticated storytelling? Methodological problems of qualitative empirical research mainly based on semi-structured interviews. Quality and Quantity, 43(6), 875–894.
Ehrig, M., & Studer, R. (2006). Wissensvernetzung durch Ontologien. In T. Pellegrini & A. Blumauer (Eds.), SemanticWeb: Wege zur Wissensgesellschaft (pp. 469–484). Berlin: Springer.
Gassmann, O., Frankenberger, K., & Csik, M. (2013). Geschäftsmodelle entwickeln: 55 innovative Konzepte mit dem St. Galler Business Model Navigator. München: Carl Hanser Verlag.
Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–105.
Lindgren, P., & Rassmussen, O. (2013). The business model cube. Journal of Multi Business Model Innovation and Technology, 1(3), 135–180.
Mädche, A., Staab, S., & Studer, R. (2001). Ontologien. Wirtschaftsinformatik, 43(4), 393–395.
Mayring, P., & Brunner, E. (2009). Qualitative Inhaltsanalyse. In R. Buber & H. H. Holzmüller (Eds.), Qualitative Markforschung: Konzepte – Methode – Analysen (pp. 669–680). Wiesbaden, Germany: Gabler.
Nationale Plattform Elektromobilität. (2014). Fortschrittsbericht 2014 – Bilanz der Marktvorbereitung. Retrieved from http://www.bmbf.de/pubRD/NPE_Fortschrittsbericht_2014_barrierefrei.pdf
Object Management Group. (2011). OMG Unified Modeling Language (UML) Version 2.4.1. Retrieved from http://www.omg.org/spec/UML/2.5/PDF
Object Management Group. (2014). Value Delivery Modeling Language FTF – Beta1. Retrieved from http://www.omg.org/spec/VDML/1.0
Object Management Group. (2015). Value Delivery Modeling Language FTF – Beta2. Retrieved from http://www.omg.org/spec/VDML/1.0/Beta2/
Osterwalder, A. (2004). The business model ontology: A proposition in a design science approach. Doctoral dissertation, Institut d’Informatique et Organisation, Ecole Des Hautes Etudes Commerciales HEC, University of Lausanne, Lausanne, Switzerland. Retrieved from www.hec.unil.ch/aosterwa/PhD/Osterwalder_PhD_BM_Ontology.pdf
Osterwalder, A., & Pigneur, Y. (2010). Business model generation: A handbook for visionaries, game changers, and challengers. Hoboken, NJ: Wiley.
Pathak, S. D., Day, J. M., Nair, A., Sawaya, W. J., & Kristal, M. M. (2007). Complexity and adaptivity in supply networks: Building supply network theory using a complex adaptive systems perspective. Decision Sciences, 38(4), 547–580.
Reinke, J. (2014). Bereitstellung öffentlicher Ladeinfrastruktur für Elektrofahrzeuge: Eine institutionenökonomische Analyse. Doctoral dissertation. Retrieved from https://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/5609
Song, M., Podoynitsyna, K., van der Bij, H., & Halman, J. I. M. (2008). Success factors in new ventures: A meta‐analysis. Journal of Product Innovation Management, 25(1), 7–27.
Uschold, M., & Gruninger, M. (1996). Ontologies: Principles, methods and applications. The Knowledge Engineering Review, 11(02), 93–136.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Metzger, J., Kraemer, N., Terzidis, O. (2016). A Systematic Approach to Business Modeling Based on the Value Delivery Modeling Language. In: Berger, E., Kuckertz, A. (eds) Complexity in Entrepreneurship, Innovation and Technology Research. FGF Studies in Small Business and Entrepreneurship. Springer, Cham. https://doi.org/10.1007/978-3-319-27108-8_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-27108-8_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-27106-4
Online ISBN: 978-3-319-27108-8
eBook Packages: Business and ManagementBusiness and Management (R0)