Integrating behavioral insights into cleaner production efficiency: a prospect theory-enhanced DEA analysis of the automotive industry

Yih-Tzoo Chen, Thi-Hien Dao

Open source

DOI: 10.1038/s41598-026-61865-0
Published: 2026-07-09
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-61865-0,
  title = {Integrating behavioral insights into cleaner production efficiency: a prospect theory-enhanced DEA analysis of the automotive industry},
  author = {Yih-Tzoo Chen and Thi-Hien Dao},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-61865-0},
  url = {https://doi.org/10.1038/s41598-026-61865-0}
}

RIS

TY  - JOUR
TI  - Integrating behavioral insights into cleaner production efficiency: a prospect theory-enhanced DEA analysis of the automotive industry
AU  - Yih-Tzoo Chen
AU  - Thi-Hien Dao
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-61865-0
UR  - https://doi.org/10.1038/s41598-026-61865-0
ER  -

APA

Chen, Y., & Dao, T. (2026). Integrating behavioral insights into cleaner production efficiency: a prospect theory-enhanced DEA analysis of the automotive industry. Scientific Reports. https://doi.org/10.1038/s41598-026-61865-0

Source records

crossref · retrieved 2026-09-25T14:40:46.929Z