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Customized technology readiness

Introducing the application specific technology readiness model
: Ardilio, Antonino; Warschat, Joachim; Spath, Dieter

Kocaoglu, Dundar F. (Ed.) ; Portland International Center for Management of Engineering and Technology -PICMET-; Institute of Electrical and Electronics Engineers -IEEE-:
PICMET 2012, Portland International Conference for Management of Engineering and Technology. Technology Management for Emerging Technologies. Proceedings : July 29 - August 2, 2012, Vancouver, Canada
New York, NY: IEEE, 2012
ISBN: 1-890843-26-1 (CD-ROM)
ISBN: 978-1-4673-2853-1 (Print)
ISBN: 978-1890843-26-7
pp.1260-1272 (Vol.2)
Portland International Conference on Management of Engineering and Technology (PICMET) <2012, Vancouver>
Conference Paper
Fraunhofer IAO ()

Enterprises - as technology users - implement specific technologies into their applications to fulfill marketrequested functions. To meet the exacerbating market needs, one of the primary duties of technology forecasting within enterprises is to identify relevant technologies, to determine their readiness, to predict their future development and thereafter to estimate their suitability within the enterprise application. To measure the readiness of a technology, models like NASA´s Technology Readiness Levels or other technology lifecycle models (like Gartner´s Hype-Cycle, etc.) are in use. These models lack of applicability within the above mentioned tasks, as the technology readiness is analyzed and visualized for a whole industry or branch. However, enterprises need an estimation of technology readiness based on the very specific requirement profile of their application. For example: a 3-year lifecycle display technology corresponds to the lifecycle of a mobile phone (in this case the technology is mature), whereas for a 15-year lifecycle of a car, the same technology is very immature (concerning the lifecycle). This paper introduces an approach on how to determine and map the application-specific readiness of technology by decomposing both, the application and the technology into its provided resp. requested functions and performance- resp. requirementsprofile as well as the dynamical mapping of the single technology performance criteria. Furthermore, this paper gives an outlook on how this model could be used to predict the future development of technology. Within a use case in the area of OLED-technology the application-specific technology readiness-model will be demonstrated and discussed.