管理科学与工程

近年来主要研究领域包括：管理系统计算与仿真、数据驱动决策优化、数据驱动演化计算、供应链运作管理、绿色供应链管理、平台供应链演化计算、数字供应链管理、电子政府绩效评价，共发表学术论文30余篇。部分论文列表如下：

1. LongQingqi*, Tao Xiaoying, Shi Ying, Zhang Shuzhu. Evolutionary game analysis among three green sensitive parties in green supply chains. IEEE Transactions on Evolutionary Computation, 2021,25(3): 508-523. (SCI, TOP, Q1)

2. Long Qingqi*,SongKe. Operational performance evaluation of e-government microblogs under emergencies based on a DEA method. Information Systems Frontiers,published online, 2021. (SCI, Q1)

3. Cao Yuanyuan*, Long Qingqi, Hu Baoliang, Li Junjun, Qin Xinghong. Exploring elderly users’ MSNS intermittent discontinuance: a dual-mechanism model. Telematics and Informatics, 2021, 62: 101629. (SCI/SSCI, Q1)

4. Cao Yuanyuan*, Qin Xinhong, Li Junjun, Long Qingqi, Hu Baoliang. Exploring seniors’ continuance intention to use mobile social network sites in China: a cognitive-affective-conative model. Universal Access in the Information Society, published online, 2020. (SCI/SSCI, Q2)

5. Long Qingqi*,Song Ke, Yang Shuiqing. Semantic modeling for the knowledge framework of computational experiments and decision making for supply chain networks. IEEE Access, 2019, 7: 46363-46375. (SCI/SSCI, Q1)

6. Long Qingqi*.Data-driven decision making for supply chain networks with agent-based computationalexperiment.Knowledge-based Systems, 2018, 141: 55-66. (SCI, Q1)

7. Qi Feng, Zhu Mengli, Long Qingqi*. A comprehensive study on the effect of XBRL-adopted financial reporting on the sensitivity of executive compensation performance: A multi-dimensional perspective. IEEE Access, 2018, 6: 67771-67782. (SCI/SSCI, Q1)

8. Long Qingqi*. A framework for data-driven computational experiments of inter-organizational collaborations in supply chain networks. Information Sciences, 2017, 399: 43-63. (SCI, Q1)

9. Long Qingqi*. A flow-based three dimensional collaborative decision-making model for supply-chain networks, Knowledge-based Systems. 2016, 97: 101-110. (SCI, Q1)

10. Long Qingqi*. A multi-methodological collaborative simulation for inter-organizational supply chain networks. Knowledge-based Systems, 2016, 96: 84-95. (SCI/SSCI, Q1)

11. Long Qingqi*. A novel research methodology for supply network collaboration management. Information Sciences, 2016, 331: 67-85. (SCI, Q1)

12. Long Qingqi*. Three-dimensional-flow model of agent-based computational experiment for complex supply network evolution. Expert Systems with Applications, 2015, 42 (5): 2525-2537. (SCI, Q1)

13. Long Qingqi*. An agent-based distributed computational experiment framework for virtual supply chain network development. Expert Systems with Applications, 2014, 41(9): 4094-4112.(SCI, Q1)

14. Long Qingqi*. Distributed supply chain network modelling and simulation: Integration of agent-based distributed simulation and improved SCOR model. International Journal of Production Research, 2014, 52 (23): 6899-6917. (SCI, Q1)

15. Long Qingqi*, Wenyu Zhang. An integrated framework for agent based inventory-production- transportation modeling and distributed simulation of supply chains. Information Sciences, 2014, 277: 567-581. (SCI, Q1)

16. Dai Hua, Lin Jie*, Long Qingqi. A fractal perspective based methodological framework for supply chain modelling and distributed simulation with multi-agent system. International Journal of Production Research, 2014, 52(22): 6819-6840. (SCI,Q1)

17. Lin Jie, Long Qingqi*. Development of a multi-agent based distributed simulation platform for semiconductor manufacturing. Expert Systems with Applications, 2011, 38(5): 5231-5239. (SCI,Q1)

18. Long Qingqi*, Lin Jie, Sun Zhixun. Agent scheduling model for adaptive dynamic load balancing in agent-based distributed simulations. Simulation Modelling Practice and Theory, 2011, 19(4): 1021-1034. (SCI, Q2)

19. Long Qingqi*, Lin Jie, Sun Zhixun. Modeling and distributed simulation of supply chain with a multi-agent platform. International Journal of Advanced Manufacturing Technology, 2011, 55(9-12): 1241-1252. (SCI,Q2)