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Research and development

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References

  1. Augood, D. (1973). “A Review of R&D Evaluation Methods,” IEEE Trans. Engineering Management, EM-20, 114–120.

    Google Scholar 

  2. Baker, N.R. and Pound, W.H. (1964). “R&D Project Selection: Where We Stand,” IEEE Trans. Engineering Management, EM-11, 124–134.

    Google Scholar 

  3. Baker, N.R. (1974). “R&D Project Selection Models: An Assessment,” IEEE Trans. Engineering Management, EM-21, 165–171.

    Google Scholar 

  4. Baker, N.R. and Freeland, J. (1975). “Recent Advances in R&D Benefit Measurement and Project Selection Methods,” Management Science, 21, 1164–1175.

    Google Scholar 

  5. Chase, R.B., Aquilano, N.J., and Jacobs, F.R. (1998). Production and Operations Management: Manufacturing and Services, 8th ed., Irwin-McGraw Hill, Homewood, Illinois.

    Google Scholar 

  6. Clayton, E.R. and Moore, L.J. (1972). “PERT vs. GERT,” Jl. Systems Management, 22, 11–19.

    Google Scholar 

  7. Granot, D. and Zuckerman, D. (1991). “Optimal Sequencing and Resource Allocation in Research and Development Projects,” Management Science, 37, 140–156.

    Google Scholar 

  8. Henig, M.I. and Katz, H. (1996). “R&D Project Selection: A Decision Process Approach”, Jl. Multi-Criteria Decision Analysis, 5, 169–177.

    Google Scholar 

  9. Keeney, R.L. and Raiffa, H. (1976). Decisions with Multiple Objectives: Preferences and Value Trade-offs, Wiley, New York.

    Google Scholar 

  10. Liberatore, M.J. and Titus, G.J. (1983). “The Practice of Management Science in R&D Project Management,” Management Science, 29, 962–974.

    Google Scholar 

  11. Mathieu, R.G. and Gibson, J.E. (1993). “A Methodology for Large-Scale R&D Planning Based on Cluster Analysis,” IEEE Trans. Engineering Management, 40, 283–292.

    Google Scholar 

  12. Mehrez, A.S., Mossery, S., and Sinuany-Stern, Z. (1982). “Project Selection in a Small R&D Laboratory,” R&D Management, 12, 169–174.

    Google Scholar 

  13. National Science Foundation (1996). Science and Engineering Indicators 1996, Washington, D.C.

    Google Scholar 

  14. Oral, M., Kettani, O., and Lang, P. (1991). “A Methodology for Collective Evaluation and Selection of Industrial R&D Projects,” Management Science, 37, 871–885.

    Google Scholar 

  15. Pritsker, A. A.B., Sigal, C.E., and Hammesfahr, R.D.F. (1989). SLAM II–Network Models for Decision Support, Prentice Hall, Englewood Cliffs, New Jersey.

    Google Scholar 

  16. Ringuest, J.L. and Graves, S.B. (1989). “The Linear Multi-Objective R&D Project Selection Problem,” IEEE Trans. Engineering Management, 36, 54–57.

    Google Scholar 

  17. Schroder, H.H. (1971). “R&D Project Evaluation and Selection Models for Development: A Survey of the State of the Art,” Socio-economic Planning Sciences, 5, 25–39.

    Google Scholar 

  18. Souder, W.E. (1972). “A Comparative Analysis of R&D Investment Models,” AIIE Trans., 4, 57–64.

    Google Scholar 

  19. Souder, W.E. and Mandakovic, T. (1986). “R&D Project Selection Models,” Research Management, 29, 36–42.

    Google Scholar 

  20. Stewart, T.J. (1991). “A Multi-criteria Decision Support System for R&D Project Selection, Jl. Operational Research Society, 42, 17–26.

    Google Scholar 

  21. Taylor, B.W. and Moore, L.J. (1980). “R&D Project Planning with Q-GERT Network Modeling and Simulation,” Management Science, 26, 44–59.

    Google Scholar 

  22. Wiest, J.D. (1985). “Gene-Splicing PERT and CPM: The Engineering of Project Network Models” in B. V. Dean, ed., Project Management: Methods and Studies, Elsevier (North-Holland), Amsterdam, pp. 67–94.

    Google Scholar 

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Author information

Authors and Affiliations

  1. University of Massachusetts, Boston, USA

    John C. Papageorgiou

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  1. John C. Papageorgiou
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Editor information

Editors and Affiliations

  1. Robert H. Smith School of Business, University of Maryland, College Part, Maryland, USA

    Saul I. Gass

  2. School of Information Technology & Engineering, George Mason University, Fairfax, Virginia, USA

    Carl M. Harris

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© 2001 Kluwer Academic Publishers

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Papageorgiou, J.C. (2001). Research and development. In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_883

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  • DOI: https://doi.org/10.1007/1-4020-0611-X_883

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-7923-7827-3

  • Online ISBN: 978-1-4020-0611-1

  • eBook Packages: Springer Book Archive

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