{"title":"A method for constructing an ergonomics evaluation indicator system for community aging services based on Kano-Delphi-CFA: A case study in China","authors":"","doi":"10.1016/j.aei.2024.102842","DOIUrl":null,"url":null,"abstract":"<div><div>To enhance the construction quality of community aging services, promote their standardization process, and improve the elderly’s experience, this study proposes a method that combines Kano model, Delphi method, and confirmatory factor analysis for constructing an ergonomics evaluation indicator system for aging services. By comparing the needs of elderly users and expert knowledge through the Kano model and Delphi method, key community aging service resource items are identified, leading to the construction of an ergonomics evaluation indicator system for community aging services. The relationships between indicators, factors, and common factors within the system are explored using confirmatory factor analysis to test the reliability of the indicator system. The results indicate that the community aging service ergonomics evaluation indicators can be summarized into nine factors: risk control in service process, reliability of service process, risk perception in service process, universal design of service, convenience of service process, effectiveness of service, inclusive design of service, load of service process, and comfort of service process. Additionally, these factors can be further distilled into three common factors: safety, efficiency, and well-being. The aging service ergonomics indicator system construction method proposed in this study contributes to the standardization of community aging services. It provides references and guidelines for the construction of aging services in communities.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":null,"pages":null},"PeriodicalIF":8.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Engineering Informatics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1474034624004907","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
To enhance the construction quality of community aging services, promote their standardization process, and improve the elderly’s experience, this study proposes a method that combines Kano model, Delphi method, and confirmatory factor analysis for constructing an ergonomics evaluation indicator system for aging services. By comparing the needs of elderly users and expert knowledge through the Kano model and Delphi method, key community aging service resource items are identified, leading to the construction of an ergonomics evaluation indicator system for community aging services. The relationships between indicators, factors, and common factors within the system are explored using confirmatory factor analysis to test the reliability of the indicator system. The results indicate that the community aging service ergonomics evaluation indicators can be summarized into nine factors: risk control in service process, reliability of service process, risk perception in service process, universal design of service, convenience of service process, effectiveness of service, inclusive design of service, load of service process, and comfort of service process. Additionally, these factors can be further distilled into three common factors: safety, efficiency, and well-being. The aging service ergonomics indicator system construction method proposed in this study contributes to the standardization of community aging services. It provides references and guidelines for the construction of aging services in communities.
期刊介绍：
Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.
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