{"title":"年轻人对电子垃圾回收的接受程度:一个实证研究","authors":"M. Aboelmaged","doi":"10.1109/SusTech47890.2020.9150485","DOIUrl":null,"url":null,"abstract":"This paper integrates habits into the Theory of Planned Behavior and the Technology Acceptance Model to predict waste electrical and electronic equipment (WEEE) or the e-waste recycling intention among young adults. This study adopts the structural equation modelling (SEM) technique, using the partial least squares (PLS) approach as a multivariate statistical method to analyze the survey data. The findings show that the integrated model has good explanatory power and confirms its robustness in predicting the e-waste recycling intention among young adults. The role of habits and perceived usefulness are demonstrated as strong predictors of young adults' e-waste recycling intention, as well as their attitudes. The paper concludes with several social and practical implications that can foster e-waste recycling initiatives in the UAE.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"46 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Acceptance of E-waste Recycling Among Young Adults: An Empirical Study\",\"authors\":\"M. Aboelmaged\",\"doi\":\"10.1109/SusTech47890.2020.9150485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper integrates habits into the Theory of Planned Behavior and the Technology Acceptance Model to predict waste electrical and electronic equipment (WEEE) or the e-waste recycling intention among young adults. This study adopts the structural equation modelling (SEM) technique, using the partial least squares (PLS) approach as a multivariate statistical method to analyze the survey data. The findings show that the integrated model has good explanatory power and confirms its robustness in predicting the e-waste recycling intention among young adults. The role of habits and perceived usefulness are demonstrated as strong predictors of young adults' e-waste recycling intention, as well as their attitudes. The paper concludes with several social and practical implications that can foster e-waste recycling initiatives in the UAE.\",\"PeriodicalId\":184112,\"journal\":{\"name\":\"2020 IEEE Conference on Technologies for Sustainability (SusTech)\",\"volume\":\"46 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Conference on Technologies for Sustainability (SusTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SusTech47890.2020.9150485\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SusTech47890.2020.9150485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Acceptance of E-waste Recycling Among Young Adults: An Empirical Study
This paper integrates habits into the Theory of Planned Behavior and the Technology Acceptance Model to predict waste electrical and electronic equipment (WEEE) or the e-waste recycling intention among young adults. This study adopts the structural equation modelling (SEM) technique, using the partial least squares (PLS) approach as a multivariate statistical method to analyze the survey data. The findings show that the integrated model has good explanatory power and confirms its robustness in predicting the e-waste recycling intention among young adults. The role of habits and perceived usefulness are demonstrated as strong predictors of young adults' e-waste recycling intention, as well as their attitudes. The paper concludes with several social and practical implications that can foster e-waste recycling initiatives in the UAE.