Pitfalls in the application of analytic hierarchy process to performance measurement

Author:

Peters Malte,Zelewski Stephan

Abstract

PurposeThe paper seeks to show pitfalls in the application of analytic hierarchy process (AHP) to efficiency analysis and performance measurement as well as ways to steer clear of these pitfalls.Design/methodology/approachThe paper outlines guidelines for avoiding pitfalls in the application of the AHP to efficiency analysis and performance measurement.FindingsThe pitfalls discussed in the paper can be understood as a type of critical reflection of best practice, since they stem from the experiences of the application of the AHP in the area of efficiency analysis and performance measurement.Research limitations/implicationsThe pitfalls discussed are based on a limited number of projects covering only a few industries. Further work may be required to test the general validity of these findings.Practical implicationsThe ways to steer clear of these pitfalls can guide a decision maker to a proper application of the AHP in the area of efficiency analysis and performance measurement.Originality/valueThe paper goes beyond the multi criteria decision‐making literature where only general criticism of the AHP is found and the area of efficiency analysis and performance measurement is neglected.

Publisher

Emerald

Subject

Management Science and Operations Research,General Business, Management and Accounting

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Preventive Maintenance in the 3D Atomic IV Printer Machine using the Analytic Hierarchy Process;Estudios y Perspectivas Revista Científica y Académica;2024-08-03

2. AAS ve Bulanık AAS Yöntemleri ve Bir Uygulama;Kafkas Üniversitesi Fen Bilimleri Enstitüsü Dergisi;2023-03-31

3. Supplier Performance Evaluation Models;Studies in Big Data;2023

4. Identification of Mine Water Source Based on AHP-Entropy and Set Pair Analysis;Geofluids;2022-04-27

5. Research on UAV Cluster’s Operation Strategy Based on Reinforcement Learning Approach;Lecture Notes in Electrical Engineering;2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3