Online labour market analytics for the green economy: The case of electric vehicles
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DOI: 10.1016/j.techfore.2022.121517
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- Yu, Quanqing & Nie, Yuwei & Peng, Simin & Miao, Yifan & Zhai, Chengzhi & Zhang, Runfeng & Han, Jinsong & Zhao, Shuo & Pecht, Michael, 2023. "Evaluation of the safety standards system of power batteries for electric vehicles in China," Applied Energy, Elsevier, vol. 349(C).
- S. Di Luozzo & A. Fronzetti Colladon & M. M. Schiraldi, 2024. "Decoding excellence: Mapping the demand for psychological traits of operations and supply chain professionals through text mining," Papers 2403.17546, arXiv.org.
- Emmanouil S. Rigas & Tatiana Pourliaka & Maria Papoutsoglou & Hariklia Proios, 2023. "Towards a topic modeling approach to semi-automatically detect self-reported stroke symptoms (FAST symptoms) and their correlation with aphasia types," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1321-1336, April.
- Seyed Mohammad Ali Jafari & Ehsan Chitsaz, 2024. "Nasdaq-100 Companies' Hiring Insights: A Topic-based Classification Approach to the Labor Market," Papers 2409.00658, arXiv.org.
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Labour market; Skills; LinkedIn; GitHub; Stack exchange; Electric vehicles;All these keywords.
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