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Estimating the Innovation Efficiency of the Artificial Inte..:
Shi, Jincheng
;
Mei, Jingyao
;
Zhu, Ling
.
IEEE Transactions on Engineering Management. 71 (2024) - p. 9217-9228 , 2024
Link:
https://doi.org/10.1109/tem.2023.3323292
RT Journal T1 <Title>Estimating the Innovation Efficiency of the Artificial Intelligence Industry in China Based on the Three-Stage DEA Model</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tem.2023.3323292&Exemplar=1&LAN=DE A1 Shi, Jincheng A1 Mei, Jingyao A1 Zhu, Ling A1 Wang, Yingchun PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 0018-9391 SN 1558-0040 JF IEEE Transactions on Engineering Management VO 71 SP 9217 OP 9228 LK http://dx.doi.org/https://doi.org/10.1109/tem.2023.3323292 DO https://doi.org/10.1109/tem.2023.3323292 SF ELIB - SuUB Bremen
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