Enhancing importance‐performance analysis

Author:

Eskildsen Jacob K.,Kristensen Kai

Abstract

PurposeThe interpretation of the importance/performance map is based on an assumption of independence between importance and performance but many studies question the validity of this assumption. The aim of this research is to develop a new typology for job satisfaction attributes as well as a new importance/performance map that can be an aid for organizations when they prioritize their improvement actions based on a job satisfaction study.Design/methodology/approachA typology for possible relationships between importance and performance in job satisfaction studies is developed based on theoretical considerations. This typology is then applied and validated on approximately 10,000 responses from the European Employee Index 2002. Ultimately a new importance/performance map for priority setting in job satisfaction studies is developed based on the new typology for possible relationships between importance and performance.FindingsThe result of this analysis showed that the assumption of independence between the importance and performance is invalid in certain situations.Research limitations/implicationsThe subsets in the analysis are not all independent since a respondent may appear in more than one subset. This is a problem with the data generating process that to some extent might influence the analysis.Practical implicationsProfound impact on the way that the importance/performance map should be interpreted since non‐proportional attributes will move both vertically as well as horizontally in the traditional importance/performance map as performance changes.Originality/valueThis paper gives a theoretical explanation for the presence of non‐proportional satisfiers and develops a new importance/performance map that takes the presence of non‐proportional satisfiers into account.

Publisher

Emerald

Subject

Strategy and Management,General Business, Management and Accounting

Cited by 94 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

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