ICoRD'13 pp 1331-1343 | Cite as

Bridging the Gap: From Open Innovation to an Open Product-Life-Cycle by Using Open-X Methodologies

  • Matthias R. Gürtler
  • Andreas Kain
  • Udo Lindemann
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Open-X methodologies describe the application of Open Innovation to different stages of the Product-Life-Cycle (PLC). Open Innovation deals with involving external players in a company’s innovation process. Those can provide ideas from any stage of the PLC, such as lead users in the development stage or product-users in the utilization stage. These ideas themselves can initiate innovations in any PLC stage. However, this typically affects the development of new products. This means that ideas collected are incorporated into early PLC stages only. There is significant potential in using ideas not only for early stages but also for later stages, which means for existing products. Open-Utilization, as one form of the Open-X methodologies, can create innovations in the form of upgrades or new services for a product. Because respective PLC stages are not equally suitable for Open-X methodologies, this paper presents an assessment concept for evaluating each PLC stage regarding their Open-X capabilities and possible constraints. To illustrate the utility of the assessment concept, this paper identifies two PLC stages which demonstrate exemplary capacity for Open-X methodologies.

Keywords

Open-X methodology Open innovation Product life cycle 

References

  1. 1.
    Chesbrough H (2006) Open innovation. Researching a new paradigm. Oxford University PressGoogle Scholar
  2. 2.
    Gassmann O, Enkel E (2004) Towards a theory of open innovation: three core process archetypes. R&D Management Conference (RADMA), pp 1–18Google Scholar
  3. 3.
    Howard TJ, Achiche S, Özkil A, McAloone TC (2012) Open design and crowd sourcing: maturity, methodology and business models. International design conference (Design 2012), pp 181–190Google Scholar
  4. 4.
    Kain A, Kirscher R, Lindemann U (2012) Utilization of outside-in innovation input for product development. International design conference (Design 2012), pp 191–200Google Scholar
  5. 5.
    Braun A (2012) Open innovation—Einführung in ein Forschungsparadigma. In: Braun A et al. (ed) Open innovation in life science. Springer LinkGoogle Scholar
  6. 6.
    Haskins C (ed) (2006) INCOSE systems engineering handbook, version 3Google Scholar
  7. 7.
    Tukker A (2004) Eight types of product-service system: eight ways to sustainability? experiences from suspronet. Bus Strat Environ 13:246–260CrossRefGoogle Scholar
  8. 8.
    Gassmann O, Enkel E, Chesbrough H (2010) The future of open innovation. R&D Manage 40(3):213–221CrossRefGoogle Scholar
  9. 9.
    Sloane P (2011) A guide to open innovation and crowd sourcing. Kogan PageGoogle Scholar
  10. 10.
    Enkel E (2009) Chancen und Risiken von Open Innovation. In: Zerfaß A, Möslein KM (eds) Kommunikation als Erfolgsfaktor im Innovationsmanagement. GablerGoogle Scholar
  11. 11.
    Von Hippel E, Franke N, Prügl R (2008) Pyramiding: efficient identification of rare subjects. MIT sloan school of management working paper 4719-08, Oct 2008Google Scholar
  12. 12.
    OECD/Eurostat (1997) OSLO manual, version 2Google Scholar
  13. 13.
    Inauen M, Schenker-Wicki A (2012) Fostering radical innovations with open innovation. Eur J Innov Manage 15(2):212–231Google Scholar
  14. 14.
    Ebner W, Leimeister JM, Krcmar H (2009) Community engineering for innovations: the ideas competition as a method to nurture a virtual community for innovations. R&D Manage 39:342–356CrossRefGoogle Scholar
  15. 15.
    Thomke S, von Hippel E (2002) Customers as innovators: a new way to create value. Harvard Business Review Google Scholar

Copyright information

© Springer India 2013

Authors and Affiliations

  • Matthias R. Gürtler
    • 1
  • Andreas Kain
    • 1
  • Udo Lindemann
    • 1
  1. 1.Institute of Product DevelopmentTechnische Universität MünchenGarchingGermany

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