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首页> 外文期刊>The International Journal of Productivity and performance management >Prioritization of key performance indicators: An integration of analytical hierarchy process and goal setting
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Prioritization of key performance indicators: An integration of analytical hierarchy process and goal setting

机译：关键绩效指标的优先级排序：分析层次结构过程和目标设置的集成

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摘要

Purpose - The purpose of this paper is to provide an integrated approach that prioritizes organizational key performance indicators (KPIs) in terms of the criteria of SMART (Specific, Measurable, Attainable, Realistic, Time-sensitive) goal setting. Design/methodology/approach - The research was carried out using the analytical hierarchy process (AHP) technique as the basis for pairwise comparisons of SMART criteria, considering each KPI. Findings - A new approach is outlined, encompassing step-by-step guidelines for decision makers to conduct the prioritization process of SMART KPIs. The results of the case study highlight the applicability of the proposed approach and the calculation process for prioritizing KPIs. Research limitations/implications - The rating scales used in the AHP analysis are conceptual; although it identifies which dimensions require improvement, the proposed approach does not provide guidance on an appropriate action plan to address deficiencies; another limitation is that the framework adopted only the SERVQUAL service dimensions. Originality/value - This paper gives a novel approach for prioritization of KPIs. The proposed approach has a holistic mechanism; it could empower decision-making teams; it is capable of enhancing advanced quality engineering approaches; and provides great opportunities for future research.
机译：目的-本文的目的是提供一种综合方法，根据SMART（特定，可衡量，可实现，现实，对时间敏感）目标设定的标准，对组织关键绩效指标（KPI）进行优先排序。设计/方法/方法-研究是使用层次分析法（AHP）作为SMART标准的成对比较的基础，并考虑了每个KPI。调查结果-概述了一种新方法，其中包括针对决策者进行SMART KPI优先级排序过程的逐步指南。案例研究的结果突出了所提出方法的适用性和确定KPI优先级的计算过程。研究的局限性/含义-在AHP分析中使用的评级量表是概念性的；尽管所建议的方法确定了哪些方面需要改进，但并未针对解决缺陷的适当行动计划提供指导；另一个限制是该框架仅采用SERVQUAL服务维度。创意/价值-本文为KPI的优先级提供了一种新颖的方法。所提出的方法具有整体机制。它可以授权决策团队；它能够增强先进的质量工程方法；并为以后的研究提供了巨大的机会。

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