|
學年
|
113 |
|
學期
|
2 |
|
發表日期
|
2025-06-14 |
|
作品名稱
|
Predicting students’usage intention of personal carbon passbook by using artificial neural network method |
|
作品名稱(其他語言)
|
|
|
著者
|
Wu, Chien-Hsin, Chen, Shih-Hsun, Hsu, Kai-Hsiang, & Huang, Yu-Hsiang |
|
作品所屬單位
|
|
|
出版者
|
|
|
會議名稱
|
The 2025 International Conference on Management Sciences and Decision Making |
|
會議地點
|
New Taipei City |
|
摘要
|
As the impacts of climate change intensify, global attention to environmental protection and carbon emission reduction continues to grow. In response to this trend, Taiwan is actively implementing various energy-saving and carbon-reduction policies. Among these, the concept of the personal Carbon Passbook is gradually emerging, aiming to encourage individuals to reduce carbon emissions through daily actions. This study references the Unified Theory of Acceptance and Use of Technology (UTAUT) to design a questionnaire survey, targeting undergraduate to doctoral students to explore the factors influencing their willingness to use the Carbon Passbook. Artificial Neural Networks (ANN) are then employed for analysis and prediction.
The research results show that when predicting with complete constructs, the accuracy and weighted average F1-Score are 0.87 and 0.88, respectively. After removing different constructs, both accuracy and the weighted average F1-Score decrease, especially when the Facilitating Conditions (FC) construct is removed, indicating that facilitating conditions have a significant impact on students' willingness to use the Personal Carbon Passbook. Based on these results, it is recommended that managers prioritize enhancing relevant technical support and basic resources when promoting the Personal Carbon Passbook. This ensures that students can use the Personal Carbon Passbook conveniently, effectively increasing their willingness to use it.
This study reveals the key factors influencing students' intention to use the Carbon Passbook and provides targeted suggestions, hoping to encourage more young people to actively participate in carbon reduction activities and contribute to achieving the global net-zero emission goal. |
|
關鍵字
|
Carbon Passbook, Unified Theory of Acceptance and Use of Technology , Artificial Neural Network , Usage Intention |
|
語言
|
en_US |
|
收錄於
|
|
|
會議性質
|
國際 |
|
校內研討會地點
|
無 |
|
研討會時間
|
20250614~20250614 |
|
通訊作者
|
|
|
國別
|
TWN |
|
公開徵稿
|
|
|
出版型式
|
|
|
出處
|
|
|
SDGS
|
永續城市與社區,負責任的消費與生產,可負擔的潔淨能源
|