| dc.contributor | 勞工所 | |
| dc.creator (作者) | 丘周剛 | |
| dc.creator (作者) | Chiu, Chou-Kang;Lin, Chieh-Peng;Wu, Pei-Feng | |
| dc.date (日期) | 2023-10 | |
| dc.date.accessioned | 5-Mar-2024 15:58:53 (UTC+8) | - |
| dc.date.available | 5-Mar-2024 15:58:53 (UTC+8) | - |
| dc.date.issued (上傳時間) | 5-Mar-2024 15:58:53 (UTC+8) | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/150369 | - |
| dc.description.abstract (摘要) | Drawing upon self-determination theory and situated learning theory, this work proposes a theoretical model that shows how self-determined motivation influences workplace green performance. In the model, workplace green performance is indirectly influenced by perceived autonomy, competence, and relatedness as three predictors via the mediation of green learning goal orientation (Green-LGO). In the meantime, the effects of the three predictors on Green-LGO are hypothetically moderated by problem-based learning. An anonymous field survey on engineers was conducted across two large semiconductor companies. Multiple statistical methods such as hierarchical moderated regression analysis and structural equation modeling were performed to verify the proposed hypotheses of this study. Finally, this study presents research. | |
| dc.format.extent | 113 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Academy of Management Proceedings, Vol.2023, No.1, 10784 | |
| dc.title (題名) | Modeling Workplace Green Performance: Moderation of Problem-based Learning | |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.5465/AMPROC.2023.10784abstract | |
| dc.doi.uri (DOI) | https://doi.org/10.5465/AMPROC.2023.10784abstract | |
