Model development of community-based willingness to recycle for urban mining

Electronic waste (e-waste) is a significant worldwide problem intensified by the increasing number of users and the quick pace of technical improvements. In addition to its environmental implications, e-waste has economic prospects. The present research addresses the urgent need for a comprehensive...

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Main Authors: Rahmat Nurcahyo, Nurhadi Wibowo, Djoko Sihono Gabriel, Bertha Maya Sopha, Azanizawati Ma'aram
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Cleaner Engineering and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666790824000120
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author Rahmat Nurcahyo
Nurhadi Wibowo
Djoko Sihono Gabriel
Bertha Maya Sopha
Azanizawati Ma'aram
author_facet Rahmat Nurcahyo
Nurhadi Wibowo
Djoko Sihono Gabriel
Bertha Maya Sopha
Azanizawati Ma'aram
author_sort Rahmat Nurcahyo
collection DOAJ
description Electronic waste (e-waste) is a significant worldwide problem intensified by the increasing number of users and the quick pace of technical improvements. In addition to its environmental implications, e-waste has economic prospects. The present research addresses the urgent need for a comprehensive framework incorporating community interaction within the context of e-waste management. The Community-Based Willingness to Recycle (CWTR) concept underscores the significant contribution of community engagement in promoting sustainable practices for e-waste and many aspects that influence the process. The variables include dumping e-waste at specified locations, recognizing the advantages of recycling, and adhering to societal norms. These elements are pivotal in influencing governments' formulation of recycling regulations. The CWTR model is vital in mobilizing community backing for recycling efforts. This support is impacted by various variables, including views of community behavior control, understanding of the hazards associated with e-waste, environmentally concerned attitudes, and perceived advantages. The adjusted R2 value of the model, which stands at 39.5%, indicates a modest explanatory power, as it can explain 39.5% of the observed variance. In addition, the model's fitness, as shown by a score of 0.783, signifies its appropriateness for real-world implementation. This study adopts a quantitative methodology, using surveys and secondary data analysis to enhance theoretical frameworks and practical implications. The literature assessment conducted in this study aims to identify gaps in existing research, therefore providing a robust theoretical framework. The CWTR model facilitates implementing sustainable e-waste management practices within local communities and enriches the existing body of theoretical knowledge in engineering science. This study represents a significant advancement in sustainable e-waste management, potentially revolutionizing practical approaches for improving communities and the environment.
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spelling doaj.art-e6910410ac784f1aac1e4d6e93dcb7a02024-04-09T04:13:30ZengElsevierCleaner Engineering and Technology2666-79082024-04-0119100732Model development of community-based willingness to recycle for urban miningRahmat Nurcahyo0Nurhadi Wibowo1Djoko Sihono Gabriel2Bertha Maya Sopha3Azanizawati Ma'aram4Department of Industrial Engineering, Universitas Indonesia, Depok, Indonesia; Corresponding author.Department of Industrial Engineering, Universitas Indonesia, Depok, Indonesia; Research Center for Mining Technology, National Research and Innovation Agency – Republic of Indonesia (BRIN-RI), Serpong, IndonesiaDepartment of Industrial Engineering, Universitas Indonesia, Depok, IndonesiaIndustrial Engineering Program, Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta, IndonesiaDepartment of Materials, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Johor, MalaysiaElectronic waste (e-waste) is a significant worldwide problem intensified by the increasing number of users and the quick pace of technical improvements. In addition to its environmental implications, e-waste has economic prospects. The present research addresses the urgent need for a comprehensive framework incorporating community interaction within the context of e-waste management. The Community-Based Willingness to Recycle (CWTR) concept underscores the significant contribution of community engagement in promoting sustainable practices for e-waste and many aspects that influence the process. The variables include dumping e-waste at specified locations, recognizing the advantages of recycling, and adhering to societal norms. These elements are pivotal in influencing governments' formulation of recycling regulations. The CWTR model is vital in mobilizing community backing for recycling efforts. This support is impacted by various variables, including views of community behavior control, understanding of the hazards associated with e-waste, environmentally concerned attitudes, and perceived advantages. The adjusted R2 value of the model, which stands at 39.5%, indicates a modest explanatory power, as it can explain 39.5% of the observed variance. In addition, the model's fitness, as shown by a score of 0.783, signifies its appropriateness for real-world implementation. This study adopts a quantitative methodology, using surveys and secondary data analysis to enhance theoretical frameworks and practical implications. The literature assessment conducted in this study aims to identify gaps in existing research, therefore providing a robust theoretical framework. The CWTR model facilitates implementing sustainable e-waste management practices within local communities and enriches the existing body of theoretical knowledge in engineering science. This study represents a significant advancement in sustainable e-waste management, potentially revolutionizing practical approaches for improving communities and the environment.http://www.sciencedirect.com/science/article/pii/S2666790824000120Electronic wasteCommunityWillingness to recycleUrban miningCircular economy
spellingShingle Rahmat Nurcahyo
Nurhadi Wibowo
Djoko Sihono Gabriel
Bertha Maya Sopha
Azanizawati Ma'aram
Model development of community-based willingness to recycle for urban mining
Cleaner Engineering and Technology
Electronic waste
Community
Willingness to recycle
Urban mining
Circular economy
title Model development of community-based willingness to recycle for urban mining
title_full Model development of community-based willingness to recycle for urban mining
title_fullStr Model development of community-based willingness to recycle for urban mining
title_full_unstemmed Model development of community-based willingness to recycle for urban mining
title_short Model development of community-based willingness to recycle for urban mining
title_sort model development of community based willingness to recycle for urban mining
topic Electronic waste
Community
Willingness to recycle
Urban mining
Circular economy
url http://www.sciencedirect.com/science/article/pii/S2666790824000120
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