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With the rapid change in markets and technologies, it is becoming essential for firms to develop new products constantly. This can most successfully be achieved by using technology roadmaps (TRMs), which are effective tools for connecting product and technology planning. However, TRMs generally tend to overstate the qualitative and expert‐dependent knowledge rather than incorporating quantitative and objective information. This paper proposes a new approach where patent data are used in a quantitative methodology to support reliable decision‐making in roadmapping processes. In this study, text‐mining techniques were utilized to extract the relevant information on which portfolio, co‐word, and network analyses were carried out. The results were three types of product‐technology maps that can be applied to specific roadmapping steps. The suggested approach is expected to yield useful information about roadmapping, and help improve the overall effectiveness and quality of the technique.
Lee et al. (Wed,) studied this question.