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Allocating synthesis R & D resources in the agricultural chemicals industry

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  • Farrell E. Jensen

    (Professor and chairman of the Department of Agricultural Economics at Brigham Young University)

Abstract

Traditional methods for allocating synthesis resources in the agricultural chemicals industry are examined in this article. These methods are compared with the theoretical conditions for an optimum allocation. Potential alternatives in the form of linear programming models are suggested.

Suggested Citation

  • Farrell E. Jensen, 1985. "Allocating synthesis R & D resources in the agricultural chemicals industry," Agribusiness, John Wiley & Sons, Ltd., vol. 1(3), pages 227-235.
    • Handle: RePEc:wly:agribz:v:1:y:1985:i:3:p:227-235
    DOI: 10.1002/1520-6297(198523)1:3<227::AID-AGR2720010303>3.0.CO;2-F
    as

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    References listed on IDEAS

    as
    1. E. P. Winkofsky & N. R. Baker & D. J. Sweeney, 1981. "A Decision Process Model of R&D Resource Allocation in Hierarchical Organizations," Management Science, INFORMS, vol. 27(3), pages 268-283, March.
    2. McEachern, William A & Romeo, Anthony A, 1978. "Stockholder Control, Uncertainty and the Allocation of Resources to Research and Development," Journal of Industrial Economics, Wiley Blackwell, vol. 26(4), pages 349-361, June.
    3. Bernard W. Taylor, III & Laurence J. Moore & Edward R. Clayton, 1982. "R&D Project Selection and Manpower Allocation with Integer Nonlinear Goal Programming," Management Science, INFORMS, vol. 28(10), pages 1149-1158, October.
    4. Branch, Ben, 1974. "Research and Development Activity and Profitability: A Distributed Lag Analysis," Journal of Political Economy, University of Chicago Press, vol. 82(5), pages 999-1011, Sept./Oct.
    5. D. P. Gaver & V. Srinivasan, 1972. "Allocating Resources between Research and Development: A Macro Analysis," Management Science, INFORMS, vol. 18(9), pages 492-501, May.
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