{"title":"后新冠肺炎时代影响网络物理教学服务质量指标评价与排名的关键:一种混合模糊ANP-GRA方法","authors":"Yu-Yu Ma , Chia-Liang Lin","doi":"10.1016/j.evalprogplan.2025.102590","DOIUrl":null,"url":null,"abstract":"<div><div>In the post-COVID-19 era, online education is still a common way of teaching and learning. However, related research on service quality for online physics education is still an important research gap in this period. Therefore, a hybrid multiple-criteria decision making (MCDM) model is proposed in this study to analyse and evaluate the key factors for the provision and maintenance of high service quality of the online physics education industry in the post coronavirus era. dimensions such as reliability, responsiveness and assurance were found to have an important role in the provision of high-quality online physics education services in the post-epidemic era. In the meantime, indicators such as employee reliability, excellent and qualified teachers, honesty and compliance, customer demand response speed and secure transaction mechanism are indispensable factors for providing high-quality online physics teaching services in the post-COVID-19 era. The main contribution of this study is to propose an integrated method of fuzzy analytic network process (FANP) and grey rational analysis (GRA) to calculate and rank service quality index of online physics teaching in the post-COVID-19 era under fuzzy environment and discrete conditions. Finally, the research findings of this study have a guiding role to become a guide for the industries related to online physics teaching to maintain good service quality in similar scenarios in the future.</div></div>","PeriodicalId":48046,"journal":{"name":"Evaluation and Program Planning","volume":"111 ","pages":"Article 102590"},"PeriodicalIF":1.5000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Key influencing service quality index evaluation and ranking for online physics teaching in the post-COVID-19 era: A hybrid fuzzy ANP-GRA approach\",\"authors\":\"Yu-Yu Ma , Chia-Liang Lin\",\"doi\":\"10.1016/j.evalprogplan.2025.102590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In the post-COVID-19 era, online education is still a common way of teaching and learning. However, related research on service quality for online physics education is still an important research gap in this period. Therefore, a hybrid multiple-criteria decision making (MCDM) model is proposed in this study to analyse and evaluate the key factors for the provision and maintenance of high service quality of the online physics education industry in the post coronavirus era. dimensions such as reliability, responsiveness and assurance were found to have an important role in the provision of high-quality online physics education services in the post-epidemic era. In the meantime, indicators such as employee reliability, excellent and qualified teachers, honesty and compliance, customer demand response speed and secure transaction mechanism are indispensable factors for providing high-quality online physics teaching services in the post-COVID-19 era. The main contribution of this study is to propose an integrated method of fuzzy analytic network process (FANP) and grey rational analysis (GRA) to calculate and rank service quality index of online physics teaching in the post-COVID-19 era under fuzzy environment and discrete conditions. Finally, the research findings of this study have a guiding role to become a guide for the industries related to online physics teaching to maintain good service quality in similar scenarios in the future.</div></div>\",\"PeriodicalId\":48046,\"journal\":{\"name\":\"Evaluation and Program Planning\",\"volume\":\"111 \",\"pages\":\"Article 102590\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Evaluation and Program Planning\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0149718925000576\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evaluation and Program Planning","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0149718925000576","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
Key influencing service quality index evaluation and ranking for online physics teaching in the post-COVID-19 era: A hybrid fuzzy ANP-GRA approach
In the post-COVID-19 era, online education is still a common way of teaching and learning. However, related research on service quality for online physics education is still an important research gap in this period. Therefore, a hybrid multiple-criteria decision making (MCDM) model is proposed in this study to analyse and evaluate the key factors for the provision and maintenance of high service quality of the online physics education industry in the post coronavirus era. dimensions such as reliability, responsiveness and assurance were found to have an important role in the provision of high-quality online physics education services in the post-epidemic era. In the meantime, indicators such as employee reliability, excellent and qualified teachers, honesty and compliance, customer demand response speed and secure transaction mechanism are indispensable factors for providing high-quality online physics teaching services in the post-COVID-19 era. The main contribution of this study is to propose an integrated method of fuzzy analytic network process (FANP) and grey rational analysis (GRA) to calculate and rank service quality index of online physics teaching in the post-COVID-19 era under fuzzy environment and discrete conditions. Finally, the research findings of this study have a guiding role to become a guide for the industries related to online physics teaching to maintain good service quality in similar scenarios in the future.
期刊介绍:
Evaluation and Program Planning is based on the principle that the techniques and methods of evaluation and planning transcend the boundaries of specific fields and that relevant contributions to these areas come from people representing many different positions, intellectual traditions, and interests. In order to further the development of evaluation and planning, we publish articles from the private and public sectors in a wide range of areas: organizational development and behavior, training, planning, human resource development, health and mental, social services, mental retardation, corrections, substance abuse, and education.