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Choosing best alliance partners and allocating optimal alliance resources using the fuzzy multi-objective dummy programming model

Author

Listed:
  • J-J Huang

    (National Taiwan University)

  • G-H Tzeng

    (National Chiao Tung University
    Kainan University)

  • C-S Ong

    (National Taiwan University)

Abstract

Synergy effects are the motives to enter into strategic alliances; however due to lack of adequate preparation or planning, these alliances often fail. It is of no doubt that a successful strategic alliance depends on choosing the correct alliance partners and appropriate resource allocation. In this paper, the fuzzy multi-objective dummy programming model is proposed to overcome the above-mentioned problems. Two types of strategic alliances, joint ventures and mergers and acquisitions (M&A), are demonstrated to choose the best alliance partners and allocate the optimal alliance resources in a numerical example. Based on the results, our method can provide the optimal alliance cluster and satisfaction in strategic alliances.

Suggested Citation

  • J-J Huang & G-H Tzeng & C-S Ong, 2006. "Choosing best alliance partners and allocating optimal alliance resources using the fuzzy multi-objective dummy programming model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(10), pages 1216-1223, October.
    • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:10:d:10.1057_palgrave.jors.2602108
    DOI: 10.1057/palgrave.jors.2602108
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    References listed on IDEAS

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    1. Fred Glover, 1975. "Improved Linear Integer Programming Formulations of Nonlinear Integer Problems," Management Science, INFORMS, vol. 22(4), pages 455-460, December.
    2. Dacin, M. Tina & Hitt, Michael A. & Levitas, Edward, 1997. "Selecting partners for successful international alliances: Examination of U.S. and Korean firms," Journal of World Business, Elsevier, vol. 32(1), pages 3-16, April.
    3. Kurt M. Bretthauer & Bala Shetty, 1995. "The Nonlinear Resource Allocation Problem," Operations Research, INFORMS, vol. 43(4), pages 670-683, August.
    4. Nitin Nohria & Carlos Garcia‐Pont, 1991. "Global strategic linkages and industry structure," Strategic Management Journal, Wiley Blackwell, vol. 12(S1), pages 105-124, June.
    5. Lai, K. K. & Li, Lushu, 1999. "A dynamic approach to multiple-objective resource allocation problem," European Journal of Operational Research, Elsevier, vol. 117(2), pages 293-309, September.
    6. Steven T. Hackman & Loren K. Platzman, 1990. "Near-Optimal Solution of Generalized Resource Allocation Problems with Large Capacities," Operations Research, INFORMS, vol. 38(5), pages 902-910, October.
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