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Determination of a hospital management policy using conjoint analysis in the analytic network process

机译:在分析网络过程中使用联合分析确定医院管理策略

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摘要

When making management performance decisions, administrators frequently utilize balanced scorecard (BSC) to measure performance because the BSC does not excessively focus on financial measures and seeks a balance among customer perspectives, learning and growth, internal business processes and financial measures. A growing number of studies have applied the analytic hierarchical process (AHP) method to choose BSC metrics for management performance. These AHP methods assume that criteria are independent. Saaty (Decision making with dependence and feedback: the analytic network process. RWS Publications, Pittsburgh, 1996) presented the analytic network process (ANP) method to solve the limitations that criteria are independent. Conventional ANP methods involve complex calculations when the number of criteria increases. Hence, this study attempts to integrate conjoint analysis (CA) and the ANP method to simplify the ANP calculation procedure. Additionally, the decision of management policy is utilized with BSC to determine whether the situation at a hospital demonstrates the feasibility of integrating CA with ANP. Study results reveal that the proposed methodology increases the efficiency of decision making among policymakers and reduces associated risks
机译:在制定管理绩效决策时,管理员经常使用平衡计分卡(BSC)来衡量绩效,因为BSC不会过分关注财务指标,而是在客户观点,学习与成长,内部业务流程和财务指标之间寻求平衡。越来越多的研究已经应用层次分析层次(AHP)方法来选择BSC指标来提高管理绩效。这些AHP方法假定条件是独立的。 Saaty(具有依赖性和反馈的决策:分析网络过程。RWS出版物,匹兹堡,1996年)提出了一种分析网络过程(ANP)方法来解决标准独立的局限性。当标准数量增加时,传统的ANP方法会涉及复杂的计算。因此,本研究试图将联合分析(CA)和ANP方法相结合,以简化ANP计算程序。此外,BSC利用管理策略的决策来确定医院的情况是否表明将CA与ANP集成的可行性。研究结果表明,所提出的方法可提高决策者的决策效率并降低相关风险

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