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 contributionpeer-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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