Pathways to a drug: A mixed methods analysis of emergence

Arho Suominen, Ozgur Dedehayir

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    Despite the calls for a broader methodological base, the technology management and the forecasting literature remain short of studies synthesising quantitative and qualitative methods. This paper addresses this gap by employing a mixed method approach to study the case of Taxol, a revolutionary drug developed to fight ovarian and breast cancer. The paper shows in detail how a data mining-based network model can be synthesised with qualitatively created event narrative to understand the development of a technology and its ecosystem. As a result, the paper shows an npartite network of Taxol drug ecosystem containing over 4,000 nodes and 11,000 edges. The network enables decision makers to understand the process, interaction of actors and lock-in mechanism in the process of technological development.

    Original languageEnglish
    Article number1740011
    Number of pages12
    JournalInternational Journal of Innovation Management
    Volume21
    Issue number8
    DOIs
    Publication statusPublished - 1 Dec 2017
    MoE publication typeA1 Journal article-refereed
    EventISPIM Innovation Conference 2017: Composing the Innovation Symphony - Vienna, Austria
    Duration: 18 Jun 201721 Jun 2017

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    Keywords

    • technology trajectories
    • unsupervised learning
    • technological diversity
    • innovation ecosystem
    • mixed methods
    • taxol
    • technology analysis

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