关键驱动因素分析与相对权重分析:两步法

IF 2.4 4区 管理学 Q3 BUSINESS International Journal of Market Research Pub Date : 2024-04-29 DOI:10.1177/14707853241251719
Michael S. Garver, Zachary Williams
{"title":"关键驱动因素分析与相对权重分析:两步法","authors":"Michael S. Garver, Zachary Williams","doi":"10.1177/14707853241251719","DOIUrl":null,"url":null,"abstract":"Key driver analysis (statistically inferred importance analysis) is commonly implemented to understand what customer satisfaction attributes are most important in driving overall customer satisfaction. Building on prior research, this article suggests that dominance analysis and relative weight analysis are the most appropriate statistical techniques for conducting key driver analysis, yet relative weight analysis is the more feasible choice. A process is put forth so that research practitioners can conduct key driver analysis with relative weight analysis implementing a two-step approach. The two-step approach should be used when the key driver analysis contains a large number of attributes, which are theoretically redundant and highly correlated.","PeriodicalId":47641,"journal":{"name":"International Journal of Market Research","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Key driver analysis with relative weight analysis: A two-step approach\",\"authors\":\"Michael S. Garver, Zachary Williams\",\"doi\":\"10.1177/14707853241251719\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Key driver analysis (statistically inferred importance analysis) is commonly implemented to understand what customer satisfaction attributes are most important in driving overall customer satisfaction. Building on prior research, this article suggests that dominance analysis and relative weight analysis are the most appropriate statistical techniques for conducting key driver analysis, yet relative weight analysis is the more feasible choice. A process is put forth so that research practitioners can conduct key driver analysis with relative weight analysis implementing a two-step approach. The two-step approach should be used when the key driver analysis contains a large number of attributes, which are theoretically redundant and highly correlated.\",\"PeriodicalId\":47641,\"journal\":{\"name\":\"International Journal of Market Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Market Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1177/14707853241251719\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Market Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/14707853241251719","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

关键驱动因素分析(统计推断重要性分析)通常用于了解哪些客户满意度属性对提高整体客户满意度最为重要。在先前研究的基础上,本文提出支配分析和相对权重分析是进行关键驱动因素分析最合适的统计技术,但相对权重分析是更可行的选择。本文提出了一个流程,使研究人员可以采用两步法进行关键驱动因素分析和相对权重分析。当关键驱动因素分析包含大量属性时,应采用两步法,因为这些属性在理论上是冗余和高度相关的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Key driver analysis with relative weight analysis: A two-step approach
Key driver analysis (statistically inferred importance analysis) is commonly implemented to understand what customer satisfaction attributes are most important in driving overall customer satisfaction. Building on prior research, this article suggests that dominance analysis and relative weight analysis are the most appropriate statistical techniques for conducting key driver analysis, yet relative weight analysis is the more feasible choice. A process is put forth so that research practitioners can conduct key driver analysis with relative weight analysis implementing a two-step approach. The two-step approach should be used when the key driver analysis contains a large number of attributes, which are theoretically redundant and highly correlated.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.00
自引率
6.70%
发文量
38
期刊介绍: The International Journal of Market Research is the essential professional aid for users and providers of market research. IJMR will help you to: KEEP abreast of cutting-edge developments APPLY new research approaches to your business UNDERSTAND new tools and techniques LEARN from the world’s leading research thinkers STAY at the forefront of your profession
期刊最新文献
Examining stated improvement research methods Marketing Outcomes and Shareholder Value: A Review and Research Agenda Measuring prime ministerial brands: Exploring Needham’s framework for assessing the UK’s Boris Johnson and the Greek konstantinos mitsotakis Machine learning based methods for ratemaking health care insurance When “the more the better”? Mindfulness enhances the effect of the number of displayed product features in short video ADs on purchase intention
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1