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  4. Data-driven Framework for Aligning R&D Strategy with Corporate Goals Using a Network-based Roadmapping Approach
 
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2025
Conference Paper
Title

Data-driven Framework for Aligning R&D Strategy with Corporate Goals Using a Network-based Roadmapping Approach

Abstract
Rising customer expectations, intensifying competition and shortening technology and product life cycles impact technology-driven companies, making technological change a key driver of competitive advantage. While the need for strategic planning has increased, selecting the optimal technology portfolio from an abundance of technological options and allocating sufficient resources to R&D projects have become critical determinants of success. Traditional roadmapping and decision-making approaches struggle to remain effective in rapidly evolving markets, leading to sub-optimal technology portfolios and reduced long-term competitiveness. This paper aims to develop a holistic framework that integrates data-driven analyses and includes capabilities to align with strategic goals using network theory methods.
Author(s)
Schuh, Günther  
Fraunhofer-Institut für Produktionstechnologie IPT  
Keuper, Alexander
Rheinisch-Westfälische Technische Hochschule Aachen
Kelbel, Nikolai
Rheinisch-Westfälische Technische Hochschule Aachen
Hamker, M.
Rheinisch-Westfälische Technische Hochschule Aachen
Rebentisch, Eric Scott
Massachusetts Institute of Technology
Mertens, Martin
Rheinisch-Westfälische Technische Hochschule Aachen
Mainwork
IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2025  
Conference
International Conference on Industrial Engineering and Engineering Management 2025  
DOI
10.1109/IEEM63636.2025.11357617
Language
English
Fraunhofer-Institut für Produktionstechnologie IPT  
Keyword(s)
  • R&D

  • strategy

  • technology management

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