Selecting R&D projects for technology-based innovation: An application of the core model approach

Michael Tow Cheung, Paul F. Greenfield, Victor LIAO

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    1 Citation (Scopus)

    Abstract

    To optimize the use of knowledge when selecting R&D projects for technology-based innovation, all possible techniques - whether based on mathematical programming, or behavior, organization and information, or strategic consistency and integration - should be considered. We present a readily operationalized and flexible approach to this task, under which different project selection techniques are rendered comparable with reference to the normative methodology in economics and relevance to a core-model description of the real world in any application.

    Original languageEnglish
    Title of host publicationIEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
    Pages974-977
    Number of pages4
    DOIs
    Publication statusPublished - 2009
    EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, China
    Duration: 8 Dec 200911 Dec 2009

    Publication series

    NameIEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

    Conference

    ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009
    Country/TerritoryChina
    CityHong Kong
    Period8/12/0911/12/09

    Scopus Subject Areas

    • Management of Technology and Innovation
    • Information Systems and Management
    • Industrial and Manufacturing Engineering
    • Safety, Risk, Reliability and Quality

    User-Defined Keywords

    • Core model
    • Knowledge management
    • Project selection
    • R&D
    • Technology-based innovation

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