文章基本信息

标题：A new approach to developing and optimizing organization strategy based on stochastic quantitative model of strategic performance
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作者：Hell, Marko ; Ershov, Dmitry
期刊名称：Croatian Operational Research Review
印刷版ISSN：1848-0225
出版年度：2014
卷号：5
期号：1
页码：67-80
语种：English
出版社：Croatian Operational Research Society
摘要：This paper presents a highly formalized approach to strategy formulation and optimization of strategic performance through proper resource allocation. A stochastic quantitative model of strategic performance (SQMSP) is used to evaluate the efficiency of the strategy developed. The SQMSP follows the theoretical notions of the balanced scorecard (BSC) and strategy map methodologies, initially developed by Kaplan and Norton. Parameters of the SQMSP are suggested to be random variables and be evaluated by experts who give two-point (optimistic and pessimistic values) and three-point (optimistic, most probable and pessimistic values) evaluations. The Monte-Carlo method is used to simulate strategic performance. Having been implemented within a computer application and applied to solve the real problem (planning of an IT-strategy at the Faculty of Economics, University of Split) the proposed approach demonstrated its high potential as a basis for development of decision support tools related to strategic planning.
关键词：strategic management; quantitative model of strategic performance; optimal resource allocation; Monte-Carlo simulation; expert evaluations