Zheng Haichao

Southwestern University of Finance and Economics

Department of Computational Finance, School of Management Science and Engineering

Professor, Doctoral Supervisor

Email: haichao@swufe.edu.cn

Personal Profile

Professor Zheng Haichao graduated from Nankai University Business School with a Ph.D. in Management Science and Engineering. He is currently teaching at Southwestern University of Finance and Economics. His research interests include human-machine fusion prediction systems, business intelligence, and financial technology. His current focus is on the design of human-machine fusion prediction systems that combine artificial intelligence (especially Generative AI) with human group intelligence. The main application scenarios of the research results are the prediction of financial asset value fluctuations and early warning of international economic and policy uncertainties. The experimental platform "Happy Zhuge" (www.imzhuge.com) provides support for research in prediction science, market design, human-computer interaction, and artificial intelligence. The research results are published in important journals in the fields of information systems and decision science.

Educational Background

2008-2011 Doctor of Philosophy, Nankai University

2009-2010 Jointly trained doctoral student at the University of Minnesota Duluth

2006-2008 Master of Business School, Nankai University

2002-2006 Henan University, College of Computer and Information Engineering, Bachelor

Work Experience

2019.1-Present Professor, Southwestern University of Finance and Economics

2015.1-2018.12 Associate Professor, Southwestern University of Finance and Economics

2011.9-2014.12 Lecturer, Southwestern University of Finance and Economics

Lecturing Courses

Undergraduate: Artificial Intelligence and Finance (Large Model-Based Intelligent Agent Design Module), Financial Data Analysis and Programming, Data Analysis (Python)

Master: Python basics and its applications, deep learning

PhD: Special Topic in Business Intelligence

Research Achievements

Academic Papers

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

[2] 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.

[3] 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.

[4] 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.

[5] 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).

[6] Liting Li, Haichao Zheng, Dongyu Chen, Bin Zhu (Online). Whose reviews are most valuable for predicting the default risk of peer-to-peer lending platforms? Evidence from China. Electronic Commerce Research. Available at: https: //doi.org/10.1007/s10660-022-09571-7.

[7] 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.

[8] 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.

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

[10] Wang, T., Li, YL, Kang, MH Zheng, HC (2019). Exploring Individuals' Behavioral Intentions toward Donation Crowdfunding: Evidence from China. Industrial Management & Data Systems, 2019, 119(7), 1515- 1534.

[11] 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.

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

[13] Wang, T., Liu, XW, Kang, MH, & 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.

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

[15] 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.

[16] 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 .

[17] 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.

[18] 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.

[19] 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.

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

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

[22] Kang, MH, Gao, YW, 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.

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

[24] 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.

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

[26] 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.

[27] 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.

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

[29] Chen Dongyu, Zheng Haichao (2017). Research on herding behavior and decision rationality in China's P2P online lending market. Management Review, 29 (1), 3-11.

[30] Zheng Haichao, Yang Tingting, Chen Dongyu, & Wan Neng. (2015). Crowdfunding for innovative projects: The value of funders’ citizenship behavior. Research Management, 36(11), 29-36.

[31] Zheng Haichao, Huang Yumeng, Wang Tao, & Chen Dongyu. (2015). Research on the influencing factors of equity crowdfunding financing performance of innovative projects. China Soft Science, (1), 130-138.

[32] Hou Wenhua, Zheng Haichao. Crowdsourcing competition : a key to unlock collective wisdom (monograph). Science Press, 2012.

Human-machine fusion prediction system (software copyright)

Happy Zhuge : https://www.imzhuge.com

Research Projects

[1] 2021-2024, National Natural Science Foundation of China, "Research on the mechanism of machine behavior design and its impact on prediction efficiency in human-machine hybrid prediction market" (No. 72071160), Host

[2] 2022-2023, Research project "Human-Machine Fusion Prediction Market Design and Application Scenario Innovation", International Joint Laboratory of Fintech, Southwestern University of Finance and Economics, co-Host

[3] 2018-2021, Humanities and Social Sciences Project of the Ministry of Education, "Research on the Characteristics and Causes of P2P Online Lending Borrowers' Behavior Trajectory and Its Impact on Investment Risk " (No. 18YJAZH142), Host

[4] 2014-2016, National Natural Science Foundation of China Youth Project "Research on the Impact of Value Co-creation Behavior of Crowdfunding Project Initiators and Funders on Project Performance" (No. 71302186), Host

[5] 2012-2015, Ministry of Education Humanities and Social Sciences Project "Research on the Mechanism of Incubating Innovation Projects Based on Crowdsourcing Model" (No. 12YJCZH306), Host

[6] 2011-2013, subproject of National Social Science Key Project "Research on the Combination of Scientific and Technological Innovation and Financial Innovation under the Background of an innovative Country", subproject leader of "Exploration on the Combination of Scientific and Technological innovation and financial Innovation from the perspective of Open Innovation" (No. 11AZD077)

[7] 2013-2015, National Social Science Foundation project "Research on Supply Chain Relationship and Supply chain Income based on the perspective of Industry Association" (No. 13CGL143), Main Research