TY - GEN
T1 - Examining Gen-Z Intention to Participate in Deposit Refund Systems
T2 - 7th International Conference on Vocational Education and Electrical Engineering, ICVEE 2024
AU - Gunawan, Muhamad Rachmat
AU - Samopa, Febriliyan
AU - Mukhlason, Ahmad
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The rising environmental challenges in waste management have prompted an urgent need for effective recycling initiatives. This study investigates the intention of Generation Z (Gen-Z) in Indonesia to participate in a Deposit Refund System (DRS), a system aimed at promoting recycling behaviors. Using a convergent mixed-method approach, quantitative data from 228 respondents were analyzed via Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess relationships between intention, distrust, environmental concern, and behavioral intention. Qualitative data analysis, employing vector embedding and k-means clustering, revealed key patterns and themes in Gen-Z's attitudes. Integration of qualitative and quantitative results through PLS-SEM provided a comprehensive understanding of Gen-Z motivations towards environmental sustainability. The results show that environmental concern positively impacts behavioral intention, while distrust was found to be statistically insignificant. This study offers practical and academic insights for policymakers to design more effective DRS initiatives. Future research could explore the long-term behavioral shifts resulting from DRS participation and the role of digital platforms in enhancing engagement.
AB - The rising environmental challenges in waste management have prompted an urgent need for effective recycling initiatives. This study investigates the intention of Generation Z (Gen-Z) in Indonesia to participate in a Deposit Refund System (DRS), a system aimed at promoting recycling behaviors. Using a convergent mixed-method approach, quantitative data from 228 respondents were analyzed via Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess relationships between intention, distrust, environmental concern, and behavioral intention. Qualitative data analysis, employing vector embedding and k-means clustering, revealed key patterns and themes in Gen-Z's attitudes. Integration of qualitative and quantitative results through PLS-SEM provided a comprehensive understanding of Gen-Z motivations towards environmental sustainability. The results show that environmental concern positively impacts behavioral intention, while distrust was found to be statistically insignificant. This study offers practical and academic insights for policymakers to design more effective DRS initiatives. Future research could explore the long-term behavioral shifts resulting from DRS participation and the role of digital platforms in enhancing engagement.
KW - Deposit Refund System
KW - Distrust
KW - Environmental Concern
KW - Waste Management
UR - http://www.scopus.com/inward/record.url?scp=85217052548&partnerID=8YFLogxK
U2 - 10.1109/ICVEE63912.2024.10823890
DO - 10.1109/ICVEE63912.2024.10823890
M3 - Conference contribution
AN - SCOPUS:85217052548
T3 - 2024 7th International Conference on Vocational Education and Electrical Engineering: Charting the Course of Artificial Technology in Sustainable Society, ICVEE 2024
SP - 83
EP - 89
BT - 2024 7th International Conference on Vocational Education and Electrical Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 30 October 2024 through 31 October 2024
ER -
