Differences in prioritization of the BSC’s strategic goals using AHP and ANP methods

IF 0.3 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Information and Organizational Sciences Pub Date : 2018-12-10 DOI:10.31341/JIOS.42.2.3
A. Janeš, Nina Begičević Ređep
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引用次数: 14

Abstract

The development and empirical verification of the balanced scorecard (BSC) model, using the multi-criteria decision-making methods (MCDM) called the analytic hierarchy process (AHP) and the analytic network process (ANP), are the key issues of the presented research. The paper presents the methodology of the prioritization of the BSC goals with the AHP and ANP methods. Even though the prioritization of the goals is possible with both, findings from the empirical analysis showed that the ANP is more complementary with the BSC because of the influences among the goals in the BSC. The ANP supports the modelling of those influences (through dependencies) and the AHP does not. The paper discusses special situations in prioritizing the BSC goals (understanding the ANP from the perspective of the user and the BSC with strategic goals that do not directly influence any other strategic goal) and proposes solutions. Therefore, it can be asserted that introducing the ANP to implement the BSC and vice versa, improved the decision-making approach and the quality of the obtained results. The research was based on a case study of modelling the BSC for Ydria Motors LL (YM), a manufacturing company.
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使用AHP和ANP方法确定BSC战略目标优先级的差异
使用称为层次分析法(AHP)和网络分析法(ANP)的多准则决策方法(MCDM)开发和实证验证平衡记分卡(BSC)模型是本研究的关键问题。本文提出了运用AHP法和ANP法对平衡计分卡目标进行排序的方法。尽管两者都有可能对目标进行优先排序,但实证分析的结果表明,由于BSC中目标之间的影响,ANP与BSC更具互补性。ANP支持这些影响的建模(通过相关性),而AHP则不支持。本文讨论了BSC目标优先排序的特殊情况(从用户的角度理解ANP,以及具有不直接影响任何其他战略目标的战略目标的BSC),并提出了解决方案。因此,可以断言,引入ANP来实现BSC,反之亦然,提高了决策方法和获得结果的质量。该研究基于制造公司Ydria Motors LL(YM)BSC建模的案例研究。
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来源期刊
Journal of Information and Organizational Sciences
Journal of Information and Organizational Sciences COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
1.10
自引率
0.00%
发文量
14
审稿时长
12 weeks
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