[1] Wang L., Yan J., Chen X., Xu Q. (2021). Do network capabilities improve corporate financial performance? Evidence from financial supply chains. International Journal of Operations & Production Management, 41, 336-358. (ABS 4, FMS B)
[2] He C., Jia F., Wang L., Chen L., Fernandes, K. (2023). The impact of corporate social responsibility decoupling on financial performance: the role of customer structure and operational slack. International Journal of Operations & Production Management, 1-32. (ABS 4, FMS B)
[3] Wang, L., Jia F., Chen L., Xu Q. (2022). The effect of development of social good products on market value: Evidence from vaccine manufacturing enterprises. IEEE Transactions on Engineering Management, 1-12. (ABS 3, FMS A)
[4] Wang L., Li M., Wang W., Gong Y., Xiong Y. (2023). Green innovation output in the supply chain network with environmental information disclosure: An empirical analysis of Chinese listed firms. International Journal of Production Economics, 108745. (ABS 3, FMS B)
[5] Wang L., Kong X., Wang W., Gong Y. (2023). Pursuing supply chain ecosystem health under environmental turbulence: a supply chain learning approach. International Journal of Production Research, 1-20. (ABS 3, FMS B)
[6] Wang L., Jia F., Chen L., Xu Q. (2022). Forecasting SMEs’ credit risk in supply chain finance with a sampling strategy based on machine learning techniques. Annals of Operations Research, 1-33. (ABS 3, FMS B)
[7] Wang L., Su Y., Huang H., Gong Y., Wang W. (2022). Director's network location and corporate environmental investment in the carbon neutrality age. Business Strategy and the Environment, 1-19. (ABS 3, FMS B)
[8] Xu Y., Wang L.*, Xiong Y., Wang M., Xie X. (2023). Does digital transformation foster corporate social responsibility? Evidence from Chinese mining industry. Journal of Environmental Management, 344, 118646. (ABS 3, FMS B)
[9] Xu Q., Wang L., Jiang C., Jia F., Chen L. (2022). Tail dependence network of new energy vehicle industry in mainland China. Annals of Operations Research, 1-26. (ABS 3, FMS B)
[10] Xu Q., Wang L., Jiang C., Zhang X. (2019). A novel UMIDAS-SVQR model with mixed frequency investor sentiment for predicting stock market volatility. Expert Systems with Applications, 132, 12-27. (ABS 3, FMS C)
[11] 汪刘凯, 张小波, 王未卿, 刘澄 (2022). 基于MIDAS-SVQR的供应链金融质押物风险价值测度新方法. 中国管理科学, 1-13. (FMS T1)
[12] 汪刘凯, 张小波, 闫相斌, 王未卿 (2023). 基于混频数据驱动神经网络模型的波动率预测研究. 系统工程理论与实践, 1-11. (FMS T1)
