Overcoming Barriers to Digital Transformation towards Greener Supply Chains in Automotive Paint Shop Operations
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- Der-Jen Hsu & Shun-Hui Chung & Jie-Feng Dong & Hui-Chung Shih & Hong-Bin Chang & Yeh-Chung Chien, 2018. "Water-Based Automobile Paints Potentially Reduce the Exposure of Refinish Painters to Toxic Metals," IJERPH, MDPI, vol. 15(5), pages 1-13, May.
- Agarwal, Sumit & Han, Yajie & Qin, Yu & Zhu, Hongjia, 2023. "Disguised pollution: Industrial activities in the dark," Journal of Public Economics, Elsevier, vol. 223(C).
- Giampieri, A. & Ling-Chin, J. & Ma, Z. & Smallbone, A. & Roskilly, A.P., 2020. "A review of the current automotive manufacturing practice from an energy perspective," Applied Energy, Elsevier, vol. 261(C).
- Xu, Jian & Zheng, Jiaxing, 2022. "Mass media, air quality, and management turnover," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
- Ahmed, Umair & Carpitella, Silvia & Certa, Antonella, 2021. "An integrated methodological approach for optimising complex systems subjected to predictive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
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Keywords
digital transformation; supply chain management; automotive industry; multi-criteria decision-making;All these keywords.
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