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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.

Authors 6

  1. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University,Laboratory for Machine Tools and Production Engineering,Aachen,Germany

  2. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University,Laboratory for Machine Tools and Production Engineering,Aachen,Germany

  3. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University,Laboratory for Machine Tools and Production Engineering,Aachen,Germany

  4. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University,Laboratory for Machine Tools and Production Engineering,Aachen,Germany

  5. Massachusetts Institute of Technology

    Affiliation as printed

    Massachusetts Institute of Technology,Sociotechnical Research Center SSRC,Cambridge,U.S

  6. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University,Laboratory for Machine Tools and Production Engineering,Aachen,Germany

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