长期从事信息管理学术研究工作，着重研究P2P网络借贷等新兴互联网金融模式，获得多项被国际同行认可的成果。发表同行评审期刊论文40多篇，专著1部。主持、参与国家自然科学基金、国家社会科学基金、教育部人文社科项目、博后基金等多项课题。研究成果获得教育部哲学社会科学等奖项若干。
金融科技
数字经济
信息管理
项目管理
2017-2021年，国家自然科学基金面上项目“骗贷行为的特征、成因及影响——基于P2P网贷平台的实证分析”，项目批准号：71771159。47万，结题。
2013-2016年，国家自然科学基金青年项目“P2P网络借贷理性程度检验与关键影响因素研究—羊群行为的视角”，项目批准号：71302008。21万，结题。
管理信息系统
大数据与金融科技
企业沙盘模拟
统计软件分析
Xu, J. Chen. D.*, Chau, M., Li, L., & Zheng H. (2022). Peer-to-peer Loan fraud detection: Constructing features from transaction data. MIS Quarterly, 46(3), 1777–1792. https://doi.org/10.25300/MISQ/2022/16103.
Liu, D., Brass, D. J., Lu, Y., Chen, D.*. (2015). Friendships in online peer-to-peer lending: Pipes, prisms, and relational herding. MIS Quarterly, 39(3), 729-742.
Chen, D., Huang, C., Liu, D., & Lai, F. (2022). The role of expertise in herding behaviors: evidence from a crowdfunding market. In Electronic Commerce Research (Issue 0123456789). Springer US. https://doi.org/10.1007/s10660-022-09570-8
Qi, Z., Chen, D., & Xu, J. J. (2022). Do facial images matter ? Understanding the role of private information disclosure in crowdfunding markets. Electronic Commerce Research and Applications, 54(January), 101173. https://doi.org/10.1016/j.elerap.2022.101173
Li, L., Zheng, H., Chen, D., & Zhu, B. (2022). Whose reviews are most valuable for predicting the default risk of peer-to-peer lending platforms? Evidence from China. Electronic Commerce Research, Online. https://doi.org/10.1007/s10660-022-09571-7
Chen, D., Li, X., & Lai, F. (2021). Shill bidding in lenders’ eyes? A cross-country study on the influence of large bids in online P2P lending. Electronic Commerce Research, 0123456789. https://doi.org/10.1007/s10660-021-09503-x
Chen D, Li XL, Lai FJ (2017) Gender discrimination in online peer-to-peer credit lending: evidence from a lending platform in China. Electronic Commerce Research 17:553-583
Zheng, H. C., Xu, B., Wang, T., & Chen, D. (2017). An empirical study of project implementation success in reward-based crowdfunding. International Journal of Electronic Commerce, 21(3), 424–448.
招生要求：
来自商科、计算机、数学等专业的优秀本科生、研究生和博士后；
具有计量经济学、管理学、经济学等训练基础、熟悉统计分析方法和大数据分析者优先考虑；
情绪稳定，有较好的抗压能力和耐挫能力；
对学术研究有发自内心的热爱。
长期从事信息管理学术研究工作，着重研究P2P网络借贷等新兴互联网金融模式，获得多项被国际同行认可的成果。发表同行评审期刊论文40多篇，专著1部。主持、参与国家自然科学基金、国家社会科学基金、教育部人文社科项目、博后基金等多项课题。研究成果获得教育部哲学社会科学等奖项若干。
金融科技
数字经济
信息管理
项目管理
2017-2021年，国家自然科学基金面上项目“骗贷行为的特征、成因及影响——基于P2P网贷平台的实证分析”，项目批准号：71771159。47万，结题。
2013-2016年，国家自然科学基金青年项目“P2P网络借贷理性程度检验与关键影响因素研究—羊群行为的视角”，项目批准号：71302008。21万，结题。
管理信息系统
大数据与金融科技
企业沙盘模拟
统计软件分析
Xu, J. Chen. D.*, Chau, M., Li, L., & Zheng H. (2022). Peer-to-peer Loan fraud detection: Constructing features from transaction data. MIS Quarterly, 46(3), 1777–1792. https://doi.org/10.25300/MISQ/2022/16103.
Liu, D., Brass, D. J., Lu, Y., Chen, D.*. (2015). Friendships in online peer-to-peer lending: Pipes, prisms, and relational herding. MIS Quarterly, 39(3), 729-742.
Chen, D., Huang, C., Liu, D., & Lai, F. (2022). The role of expertise in herding behaviors: evidence from a crowdfunding market. In Electronic Commerce Research (Issue 0123456789). Springer US. https://doi.org/10.1007/s10660-022-09570-8
Qi, Z., Chen, D., & Xu, J. J. (2022). Do facial images matter ? Understanding the role of private information disclosure in crowdfunding markets. Electronic Commerce Research and Applications, 54(January), 101173. https://doi.org/10.1016/j.elerap.2022.101173
Li, L., Zheng, H., Chen, D., & Zhu, B. (2022). Whose reviews are most valuable for predicting the default risk of peer-to-peer lending platforms? Evidence from China. Electronic Commerce Research, Online. https://doi.org/10.1007/s10660-022-09571-7
Chen, D., Li, X., & Lai, F. (2021). Shill bidding in lenders’ eyes? A cross-country study on the influence of large bids in online P2P lending. Electronic Commerce Research, 0123456789. https://doi.org/10.1007/s10660-021-09503-x
Chen D, Li XL, Lai FJ (2017) Gender discrimination in online peer-to-peer credit lending: evidence from a lending platform in China. Electronic Commerce Research 17:553-583
Zheng, H. C., Xu, B., Wang, T., & Chen, D. (2017). An empirical study of project implementation success in reward-based crowdfunding. International Journal of Electronic Commerce, 21(3), 424–448.
招生要求：
来自商科、计算机、数学等专业的优秀本科生、研究生和博士后；
具有计量经济学、管理学、经济学等训练基础、熟悉统计分析方法和大数据分析者优先考虑；
情绪稳定，有较好的抗压能力和耐挫能力；
对学术研究有发自内心的热爱。