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数据·营销·创新论坛:第十二期大咖讲座Social connections in online Lending: Evidence fromfield experiments
发布日期 :2019-05-05浏览次数 :

龙马奋进·校庆70周年学术系列讲座

                           

数据·营销·创新论坛|第十二期大咖讲座

                                       

Social connections in online Lending: Evidence fromfield experiments

                                   

-北京大学光华管理学院博士后 张晓丹-

                             

                         

张晓丹博士概况

                           

张晓丹博士2016年毕业于中南大学澳门永利线上娱乐,获管理学博士学位(营销管理、大数据方向);曾为国家公派联合培养博士,赴美国卡内基梅隆大学社会决策系进行深造;现为北京大学光华管理学院市场营销系博士后。

                     

讲座摘要

                         

Difficulty inexercising formal (court-enforced) solutions of default still remains. Thisstudy explores in what extent and how the exposure of different types of socialconnections influences online borrower’s repayment behavior, including borrowerintrinsic repayment and company collection. Specifically, we divide “socialothers” as three types: family members, friends, and colleagues. Our predictionis that online borrowers are less likely to default when disclosing his/hercolleagues’ information than disclosing only family members’ information orclose friends’ information to the lender. For collection, sending the borrowersmessages eliciting the potential contacts increases the likelihood that theloans will be repaid. We test our theory in the context of Chinese onlinelending company with historical data and field experiments. Preliminaryresults provide evidence of our hypotheses, demonstrating the predictiveeffect of social connections and the potential importance of such interventionsin enhancing loan repayment for the online lending platform.

                   

时间地点

                 

2019-5-8(周三)中午12 : 30

               

www.00636.com(学院南路校区)

                     

主教615会议室

                 

                     

                                     

上一篇:关于《澳门永利线上娱乐2019届优秀毕业研究生评选实施细则》的公示 下一篇:澳门永利线上娱乐学术论坛:Gender-Based Operational IssuesArising from On-Demand Ride-Hailing Platforms: Safety Concerns, ServiceSystems, and Pricing and Wage Policy

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