Technology roadmapping: A methodological proposition to refine Delphi results
This study outlines a methodology to refine Delphi results as part of the process to design a technology roadmap. The objectives of this paper are: (a) present a methodology to design a TRM using Delphi associated with other techniques (morphological analysis, decision matrix, interviews, and priori...
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Veröffentlicht in: | Technological forecasting & social change 2018-01, Vol.126, p.194-206 |
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Sprache: | eng |
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Zusammenfassung: | This study outlines a methodology to refine Delphi results as part of the process to design a technology roadmap. The objectives of this paper are: (a) present a methodology to design a TRM using Delphi associated with other techniques (morphological analysis, decision matrix, interviews, and prioritization analysis), and (b) demonstrate and discuss the application of proposed TRM methodology to define alternative materials aiming to reduce the weight of structural shock absorbers. The field research consisted of a case study approach in the Brazilian subsidiary of an Italian auto parts MNC combined with action research methodology. The main contributions of this paper are: a) The proposition of a methodology to refine Delphi results as part of the process to design a technology roadmap (TRM), including a decision matrix, interviews with external experts, and a prioritization analysis and b) The action research provided good quality results as well as an opportunity to test the methodology in a company environment during eight months; this is not common to find in the literature.
•We propose management techniques to refine Delphi results of a Technology Roadmap.•Action research provided high quality data during eight months of a TRM project.•We discuss lessons learned of proposed methodology applied to Magneti Marelli COFAP.•Visual graphic triangulation of Delphi and decision matrix was key to TRM design.•The decision matrix can contribute to integrate technical and business views in TRM. |
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ISSN: | 0040-1625 1873-5509 |
DOI: | 10.1016/j.techfore.2017.08.011 |