Early Prototyping in the Digital Industry: A Management Framework

  • Julius GolovatchevEmail author
  • Steven Schepurek
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 467)


A rising complexity of products, an on-going digitalization and an accelerated shift of market demands lead to a rapidly growing number of uncertainties in business environments. Firms require new approaches to deal with these challenges and have to take a proactive step towards uncertainties and the mitigation of related risks. One way to do so is the adoption of iterative, learning-oriented methods and practices in order to incrementally adapt to rapidly changing environments and customer demands, arising for example, from digital transformation and industry 4.0. “Early Prototyping” and “Business Experiments” constitute two of those methods. In this paper we introduce an integrated and more general perspective on managing iterative methods within new product and service development projects. As a result, we are able to present a comprehensive framework for the management of early prototyping that has sufficient practical relevance and can answer current, practical challenges.


Early prototyping Business experiments Agile product development Digital industry 


  1. 1.
    Budde, O.: Produktlebenszyklusmodell für die Telekommunikationswirtschaft. Apprimus. Aachen. Apprimus Wissenschaftsverlag (2012)Google Scholar
  2. 2.
    Budde, O., Golovatchev, J.: Descriptive service product architecture for communication service provider. In: Hesselbach, J., Herrmann, C. (eds.) Functional Thinking for Value Creation, pp. 213–218. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  3. 3.
    Golovatchev, J., Schepurek, S., Redeker, F.: How to Turn Early Failure into Lasting Success: A Management Framework For Effective Prototyping in Digital Product Development. Detecon, Bonn (2015). Google Scholar
  4. 4.
    Golovatchev, J., Budde, O.: Complexity measurement metric for innovation implementation and product management. Int. J. Technology Marketing 8(1), 82–98 (2013)CrossRefGoogle Scholar
  5. 5.
    Golovatchev, J., et al.: Next Generation Telco Product Lifecycle Management. How to Overcome Complexity in Product Management by Implementing Best-Practice PLM. Detecon, Bonn (2010). Google Scholar
  6. 6.
    Lim, Y.-K., Stolterman, E., Tenenberg, J.: The anatomy of prototypes: prototypes as filters, prototypes as manifestations of design ideas. ACM Trans. Comput.-Hum. Interact. 15(2), 7:1–7:27 (2008)CrossRefGoogle Scholar
  7. 7.
    McGrath, R.G.: Business models: a discovery driven approach. Long Range Plan. 43(2–3), 247–261 (2010)CrossRefGoogle Scholar
  8. 8.
    Rhinow, H., Köppen, E., Meinel, C.: Prototypes as boundary objects in innovation processes. In: Conference Paper in the Proceedings of the 2012 International Conference on Design Research Society, pp. 1–10 (2012)Google Scholar
  9. 9.
    Ries, E.: The Lean Startup: How Constant Innovation Creates Radically Successful Businesses. Random House, New York (2011)Google Scholar
  10. 10.
    Thomke, S.H.: Experimentation Matters: Unlocking the Potential of New Technologies for Innovation. Harvard Business Review Press, Boston (2003)Google Scholar
  11. 11.
    Thomke, S.H.: Simulation, learning and R&D performance: evidence from automotive development. Res. Policy 27(1), 55–74 (1998)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  1. 1.Detecon International GmbHDeutsche Telekom GroupCologneGermany

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