郑海超

※教师简介

郑海超，西南财经大学教授，毕业于南开大学商学院，获管理科学与工程博士学位。主要研究兴趣包括人机融合预测系统、大模型智能体与社会仿真、AI for Science（AI4Science）。人机融合预测系统主要应用于金融资产价值波动预测和国际经济与政策不确定性预警；其配套实验平台“嗨皮诸葛”（https://www.imzhuge.com）为预测科学、市场设计与人工智能研究提供支撑。类人智能体实验平台（https://human.haohan.site）为经济学实验与社会仿真研究提供实验基础。相关研究成果发表于信息系统、人工智能与决策科学领域的重要期刊。

※教育背景

2008-2011   南开大学 博士

2009-2010   美国明尼苏达大学德鲁斯分校 联合培养博士生

2006-2008   南开大学商学院 硕士

2002-2006   河南大学计算机与信息工程学院 本科

※职业经历

2019.1-至今 西南财经大学 教授

2015.1-2018.12  西南财经大学 副教授

2011.9-2014.12  西南财经大学 讲师

※讲授课程

本科：数据分析与可视化, 人工智能与金融

硕士生：深度学习

博士生：人工智能大模型应用, 商务智能专题

※研究成果

学术论文

[1] Liming Zhao, Haichao Zheng, Bin Zhu, Chao Liu (2026). Designing humanoid agents for economic decision-making with LLMs: A framework based on cognitive architecture and dual-process theory. Decision Support Systems, Volume 211, 114761, https://doi.org/10.1016/j.dss.2026.114761.

[2] Liming Zhao, Liting Li, Haichao Zheng (2026). How AI shapes return extrapolation in financial markets? From presence to interaction. Nankai Business Review International. 17(2), 272–293.

[3] Li, L., Zheng, H., Chen, D. et al. (2025). Watch out for anonymous online reviews on financial service: both review and its helpfulness might be manipulated. Information Technology and Management. https://doi.org/10.1007/s10799-025-00470-5

[4] Liting Li, Haichao Zheng (2024). How the introduction of machine traders and disclosure of their presence affect prediction accuracy: An online controlled experiment in prediction market. International Journal of Electronic Commerce. 28(4). https://doi.org/10.1080/10864415.2024.2401948

[5] Liting Li, Haichao Zheng, Dongyu Chen, Bin Zhu (2024). Whose reviews are most valuable for predicting the default risk of peer-to-peer lending platforms? Evidence from China. Electronic Commerce Research. 24, 1619–1658.

[6] Li Dong, Haichao Zheng (2024). Soft imitation reinforcement learning with value decomposition for portfolio management, Applied Soft Computing, 151, 111108.

[7] Li Dong, Haichao Zheng, Liting Li, Chunyu Zhou (2024). Distilling wisdom of crowds in online communities: A novel prediction market constructed with comment posters, Decision Support Systems, 180, 114190.

[8] Jennifer J. Xu, Dongyu Chen, Michael Chau, Liting Li, Haichao Zheng (2022). Peer-to-Peer loan fraud detection: Constructing features from transaction data. MIS Quarterly. 46(3), 1777-1792.

[9] Li Dong, Haichao Zheng, Li Liting, Linna Hao (2022). Human-machine hybrid Prediction market: A promising sales forecasting solution for E-commerce enterprises. Electronic Commerce Research and Applications, 56, 101216.

[10] Liting Li, Haichao Zheng. (2022). The Impacts of Machines on the Prediction Accuracy of Human-machine Hybrid Information Market. The Proceedings of 21st Wuhan International Conference on E-Business. (Best paper).

[11] Zheng, H., Qi, Z., Luo, X., Li, L., & Xu, B. (2020). The value of backers’ word-of-mouth in crowdfunding projects filtering: An empirical investigation. Electronic Commerce Research, 757–782.

[12] Zheng, H., Xu, B., & Lin, Z. (2019). Seller's Creditworthiness in the Online Service Market: A Study from the Control Perspective. Decision Support Systems, 127, 113-118.

[13] Zhang, W., Xu, Y., & Zheng, H. (2019). The antecedents and consequences of crowdfunding investors’ citizenship behaviors, Online Information Review, 43(4), 584-599.

[14] Wang, T., Li, Y.L., Kang, M.H. Zheng, H.C. (2019). Exploring Individuals’ Behavioral Intentions toward Donation Crowdfunding: Evidence from China. Industrial Management & Data Systems, 2019, 119(7), 1515-1534.

[15] Zheng, H., Xu, B., Min Zhang, M., & Wang, T. (2018). Sponsor's Cocreation and Psychological Ownership in Reward-based Crowdfunding. Information Systems Journal, 28(6), 1213-1238.

[16] Zheng, H., Xu, B., Hao, L., & Lin, Z. (2018). Reversed loss aversion in crowdsourcing contest. European Journal of Information Systems, 27(4), 434-448.

[17] Wang, T., Liu, X.W., Kang, M.H., & Zheng, H. (2018). Exploring the Determinants of Fundraisers’ Voluntary Information Disclosure on Crowdfunding Platforms: A Risk-perception Perspective. Online Information Review, 42(3), 1-21.

[18] Xu, Y., Boh, W. F., Luo, C., & Zheng, H. (2018). Leveraging industry standards to improve the environmental sustainability of a supply chain. Electronic Commerce Research & Applications, 27, 90-105.

[19] Zheng, H., Xu, B., Wang, T., & Chen, D. (2017). Project implementation success in reward-based crowdfunding: An empirical study. International Journal of Electronic Commerce, 21(3), 424-448.

[20] Zheng, H., Xu, B., Wang, T., & Chen, D. (2017). An empirical study of sponsor satisfaction in crowdfunding.  Journal of Electronic Commerce Research, 18(3), 269-285.

[21] Wu, J., Li, H., Zheng, H., & Xu, Y. (2017). Signaling in joint venture capital: a social network perspective. Industrial Management & Data Systems, 117(10), 2340-2363.

[22] Wu, J., Li, H., Lin, Z., & Zheng, H.  (2017). Competition in wearable device market: the effect of network externality and product compatibility. Electron Commerce Research, (2017), 17: 335.

[23] Wu, J., Li, H., Liu, L., & Zheng, H. (2017). Adoption of Big Data and Analytics in Mobile Healthcare Market: An Economic Perspective. Electronic Commerce Research and Applications, 22, 24–41.

[24] Zheng, H., Hung, J.L., Qi, Z., & Xu, B. (2016). The role of trust management in reward-based crowdfunding. Online Information Review, 40(1), 97-118.

[25] Xu, B., Zheng, H., Xu, Y., & Wang, T. (2016). Configurational paths to sponsor satisfaction in crowdfunding. Journal of Business Research, 69(2), 915-927.

[26] Kang, M.H., Gao, Y.W., Wang, T., & Zheng, H. (2016) Understanding the Determinants of Investment Intention on Crowdfunding Platform: A Trust-based Perspective, Industrial Management & Data Systems, 116(8), 1-22.

[27] Li, X., Tang, Y., Yang, N., Ren, Y., Zheng, H., & Zhou, H. (2016). The value of information disclosure and lead investor in equity-based crowdfunding: an exploratory empirical study. Nankai Business Review International, 7(3), 301-321.

[28] Xu, Y., Luo, C., Chen, D., & Zheng, H. (2015). What influences the market outcome of online P2P lending marketplace?: A cross-country analysis. Journal of Global Information Management, 23(3), 23-40.

[29] Zheng, H., Hung, J. L., Lin, Z., & Wu, J. (2015). The value of guarantee in service e-commerce. Nankai Business Review International, 6(1), 82-102.

[30] Zheng, H., Li, D., Wu, J., & Xu, Y. (2014). The role of multidimensional social capital in crowdfunding: A comparative study in China and US. Information & Management, 51(4), 488-496.

[31] Zheng, H., Xie, Z., Hou, W., & Li, D. (2014). Antecedents of solution quality in crowdsourcing: The sponsor's perspective. Journal of Electronic Commerce Research, 15(3), 212-224.

[32] Zheng, H. , Li, D. , & Hou, W. . (2011). Task design, motivation, and participation in crowdsourcing contests. International Journal of Electronic Commerce, 15(4), 57-88.

[33]陈冬宇, 郑海超（2017）. 我国P2P网贷市场的羊群行为及其决策理性研究. 管理评论, 29 (1), 3-11.

[34] 郑海超, 杨婷婷, 陈冬宇, & 万能. (2015). 创新项目大众筹资:资助人公民行为的价值. 科研管理, 36(11), 29-36.

[35] 郑海超, 黄宇梦, 王涛, & 陈冬宇. (2015). 创新项目股权众筹融资绩效的影响因素研究. 中国软科学, (1), 130-138.

专著

[1] 李立婷, 郑海超, 赵黎明, 谭晶桦. 人机融合信息市场中人机交互机制设计与预测效率研究. 经济科学出版社, 2025.

[2] 张文洁, 徐赟, 郑海超, 李立婷. 众包平台中的欺诈检测与风险预警. 西南财经大学出版社, 2023.

[3] 侯文华, 郑海超. 众包竞赛: 一把开启集体智慧的钥匙. 科学出版社, 2012.

[4] 王俊, 郑海超, 肖辉, 蒋太翔, 李庆. Python数据分析(教材). 机械工业出版社, 2025.

科研项目

[1] 2026-2029，国家自然科学基金面上项目“大模型驱动的人工预测市场设计及其应用示范” （编号72571219），主持

[2] 2021-2024，国家自然科学基金面上项目“人机混合预测市场中机器行为设计及其对预测效率的影响机理研究” （编号72071160），主持

[3] 2022-2023，西南财经大学金融科技国际联合实验室研究项目“人机融合预测市场设计及应用场景创新”，联合主持

[4] 2018-2021，教育部人文社科项目“P2P网贷借款人行为轨迹的特征、成因及其对投资风险的影响研究”（编号18YJAZH142），主持

[5] 2014-2016，国家自然科学基金青年项目 “众筹项目发起人与资助人价值共创行为对项目绩效的影响研究”（编号71302186），主持

[6] 2012-2015，教育部人文社科项目“基于众包模式孵化创新项目的机理研究”（编号12YJCZH306），主持

[7] 2011-2013，国家社科重点项目“创新型国家背景下的科技创新与金融创新结合问题研究”子课题“基于开放创新视角的科技创新与金融创新相结合的模式探索”（编号11AZD077），子课题负责人

[8] 2013-2015，国家社科基金项目“基于行业协会视角的供应链关系及供应链收益研究”（编号13CGL143），主研