Email: suyuanluo@szu.edu.cn
现任职位: 助理教授
罗素媛

罗素媛,深圳大学经济学院供应链管理系助理教授、深圳市海外高层次人才“孔雀计划”。博士毕业于上海财经大学,已经在Production and Operations Management、Transportation Research Part E等期刊发表论文,主持和参与国家自然科学基金和国家教育部社科基金等科研项目,担任香港RGC匿名评审员,担任TRE 客座编辑,多次担任POM, IS, Transportation Research Part E, IEEE TSMCS, IJPE, ITOR, TEM, DSS,AOR, CIE, AMM等期刊匿名审稿人。

研究领域

电子商务、信息安全、区块链、物流与供应链管理、数据科学、商业大数据分析等

教育背景

2008~2012 上海财经大学,信息管理与工程学院,管理学学士


2008-2012 上海财经大学, 金融学院,经济学学士


2012-2018 上海财经大学,管理科学与工程博士(硕博连读)


2015-2016 西雅图华盛顿大学,商学院,联合培养博士


职业经历

2018 至 2020 深圳大学 管理学院


2020 至 今 深圳大学 经济学院

研究成果

[1] Luo, S. Choi, T.M(2022), E‐Commerce supply chains with considerations of cyber‐security: Should governments play a role? Production and Operations Management. 31(5), 2107-2126. (UT Dallas listed premier journal.) DOI: 10.1111/poms.13666

[2] Zhou, Y., Gao, X., Luo, S.*, Xiong, Y., Ye, N. (2022). Anti-counterfeiting in a retail platform: A game-theoretic approach. Transportation Research Part E: Logistics and Transportation Review, Accepted.

[3] Choi, T M, Guo S, Luo, S.*(2020). When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management? Transportation Research Part E: Logistics and Transportation Review, 135,101860. (IF= 4.69; SCI-Q1; SSCI-Q1; 中科院分区(最新)-1区; FMS-A; ABDC-A*)

[4] Luo, S., Lin, X., Zheng, Z. (2019). A novel CNN-DDPG based AI-trader: Performance and roles in business operations. Transportation Research Part E: Logistics and Transportation Review, 131, 68-79. (IF= 4.69; SCI-Q1; SSCI-Q1; 中科院分区(最新)-1区; FMS-A; ABDC-A*)

[5] Luo, S., Choi, T.M., (2022). Operational research for technology-driven supply chains in the industry 4.0 era: Recent development and future studies. Asia-Pacific Journal of Operational Research. 39(01). 2040021. (SCI-Q4)

[6] Choi, T.M., Luo, S.* (2019). Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes. Transportation Research Part E: Logistics and Transportation Review, 131,139-152. (One of the most popular TRE papers, IF= 4.69; SCI-Q1; SSCI-Q1; 中科院分区(最新)-1区; FMS-A; ABDC-A*;被评为2021年WOS高被引论文)

[7] Luo, S., Choi, T.M. (2021), Great partners: How deep learning and blockchain help improve business operations together, Annals of Operations Research. Accept. DOI:10.1007/s10479-021-04101-4 (IF= 4.854; SCI-Q1)

[8] Shi, X, Yao S, Luo, S.* (2021). Innovative platform operations with the use of technologies in the blockchain era, International Journal of Production Research. Accept. DOI: 10.1080/00207543.2021.1953182 (IF= 8.568; SCI-Q1)

[9] Sun, X., Choi, T.M., Luo, S.* (2022). Logistics capacity balancing platforms in the sharing economy: When will simple rules be optimal? IEEE Transactions on Systems, Man, and Cybernetics – Systems, 52(4), 2637-2650. (IF=11.471; SCI- Q1; 中科院分区-1区)

[10] Wang, Y., Fan, D., Fung, Y., Luo, S.*(2022), Consumer-to-consumer product exchanges for original fashion brands in the sharing economy: Good or bad for fashion knockoffs? Transportation Research Part E: Logistics and Transportation Review, 158, 102599. (IF= 4.69; SCI-Q1; SSCI-Q1; 中科院分区(最新)-1区; FMS-A; ABDC-A*)

[11] Liu, Q., Wang, D., Jia, Y., Luo, S., & Wang, C. (2022). A multi-task based deep learning approach for intrusion detection. Knowledge-Based Systems, 238, 107852.

[12] You, W., Shu, H., Luo, S.* (2018). Competition, cooperation, and performance: an empirical investigation of Chinese online sellers. Information Systems and e-Business Management, 16(4), 743-760. (IF= 1.621, SCI, SSCI)