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Developing a new multidimensional model for selecting strategic plans in balanced scorecard
Journal of Intelligent & Fuzzy Systems ( IF 1.7 ) Pub Date : 2020-08-11 , DOI: 10.3233/jifs-189188
Jay Daniel 1 , José M. Merigó 2
Affiliation  

The main motivation of this research is to develop an innovative multidimensional model through multi attribute decision making (MADM) methods for strategic plans selection process in the Balanced Scorecard (BSC). The current study has adopted MADM analytical methods including AHP, ELECTRE, BORDA,TOPSIS and SAW to rank the initiatives / strategic plans in BSC. Then the results of those methods have been compared against each other in order to find a robust model for selecting strategic plans. The correlation coefficient between methods has indicated that multidimensional and ELECTRE methods with 0.944 are the best and AHP with negative correlation (–0.455) is the worst method for selecting strategic plans in BSC. It has shown that the model can be useful and effective tool to finding the critical aspects of evaluation criteria as well as the gaps to improve company’s performance for achieving desired level. Developing multidimensional model is the core model for the selection of strategic plans. This study addresses the problem and issues of group decision making process for selecting strategic plans in BSC. It has numerous contributions that particularly includes; 1) Determination of the explicit criteria sub-criteria and criteria to improve ranking strategic plans in BSC, 2) Adopting MADM analytical methods including AHP, ELECTRE, BORDA, TOPSIS and SAW for the selection of strategic plans decision problem in BSC, 3) Developing multidimensional model to address the selection of strategic plans problems in BSC. The proposed model will provide an approach to facilitate strategic plans decision problem in BSC.

中文翻译:

开发新的多维模型以选择平衡计分卡中的战略计划

这项研究的主要动机是通过多属性决策(MADM)方法为平衡计分卡(BSC)中的战略计划选择过程开发创新的多维模型。当前的研究采用了ADM,ELECTRE,BORDA,TOPSIS和SAW等MADM分析方法对BSC中的计划/战略计划进行排名。然后将这些方法的结果进行了相互比较,以找到用于选择战略计划的可靠模型。方法之间的相关系数表明,在BSC中,选择战略计划的多维和ELECTRE方法最好,而负相关(–0.455)的AHP是最差的方法(0.944)。结果表明,该模型是寻找评估标准关键方面以及改善公司绩效以达到期望水平的差距的有用和有效的工具。开发多维模型是选择战略计划的核心模型。这项研究解决了在BSC中选择战略计划的团队决策过程中存在的问题。它有许多贡献,尤其包括:1)确定明确的标准子标准和标准,以改善BSC中的排名战略计划; 2)采用ADM,ELECTRE,BORDA,TOPSIS和SAW等MADM分析方法选择BSC中的战略计划决策问题; 3)制定多维模型来解决BSC中战略计划问题的选择。
更新日期:2020-08-11
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