TY - JOUR
T1 - A mathematical programming approach for strategy ranking
AU - Farzipoor Sean, R.
PY - 2009/6
Y1 - 2009/6
N2 - Before working out their final strategic plan, managers must consider several feasible alternatives and contemplate various factors behind each of them. It is a very complicated task to rank the strategies. The objective of this paper is to propose a method that allows strategy to be evaluated on both ordinal and cardinal criteria on the one hand, and on the other hand is to use a method for ranking strategies without relying on weight assignment by decision makers. A numerical example demonstrates the application of the proposed method.
AB - Before working out their final strategic plan, managers must consider several feasible alternatives and contemplate various factors behind each of them. It is a very complicated task to rank the strategies. The objective of this paper is to propose a method that allows strategy to be evaluated on both ordinal and cardinal criteria on the one hand, and on the other hand is to use a method for ranking strategies without relying on weight assignment by decision makers. A numerical example demonstrates the application of the proposed method.
KW - Cardinal and ordinal data
KW - Minimax regretbased approach
KW - Strategic management
KW - Strategy ranking
UR - http://www.scopus.com/inward/record.url?scp=67650286590&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67650286590&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:67650286590
SN - 1029-3132
VL - 14
SP - 109
EP - 120
JO - Asia Pacific Management Review
JF - Asia Pacific Management Review
IS - 2
ER -