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孙天澍

Sun Tianshu

长江商学院科技与运营教授
马里兰大学博士
新科技,大数据与产业融合中心主任

Email:
tianshusun@ckgsb.edu.cn

新科技,大数据与产业融合中心

教授简介:

孙天澍教授现任长江商学院科技与运营教授,在南加州大学获得终身教职以及Robert Dockson讲席教授,同时兼任商学院与计算机系博士生导师。孙天澍的研究聚焦在企业数字化转型,包括数字化战略,数字化组织和数字化科技,在中美顶尖企业有丰富的工作经历与合作实践(如Facebook,Adobe,阿里巴巴,网易等)。孙天澍的学术研究和产业实践尤其关注技术与商业的交叉融合—特别是大数据,云计算,物联网和人工智能如何持续的改变零售,金融,制造,物流,医疗和企业服务等行业。孙天澍受邀在顶级大学(哈佛,MIT,沃顿商学院,芝加哥,斯坦福等)以及国际顶级学术会议上发表八十多场学术演讲,并在Facebook, Google, Snapchat, 领英, 优步, 阿里巴巴, 中信, 人民日报集团等顶级机构做数字化转型,大数据和平台战略的邀请分享和培训。孙天澍的研究论文发表在信息系统,机器学习,经济学和商学院国际顶级期刊与会议,获得16项最佳论文奖(包括芝加哥大学颁发的Wittink Prize年度最佳论文奖),以及USC颁发的年度最佳教授奖(Golden Apple Award)。孙天澍教授担任多个国际顶级期刊常务和客座编委(MS, ISR, MISQ)和国际会议大会主席(CIST,WEBEIS),并获得多个顶级机构的研究支持。孙天澍本科毕业于南京大学物理系,在马里兰大学修读物理,电子工程与经济学博士课程,获得信息系统博士学位。

主要研究领域

● 数字化转型

● 数字化平台战略

● 数字化创新组织

● 数字化应用技术 (云计算,大数据,物联网,人工智能,SaaS/PaaS)

● 数据科学与数据决策 (因果分析,机器学习与大规模实验设计)

● 数字经济,数据监管和流通,以及大数据和人工智能对社会的影响

● 互联网平台与金融科技

● 产业数字化政策与标准(数据标准,隐私保护,人才教育,软件生态)

● 管理信息系统与企业服务

● 新零售与新制造

主要学术成果

1. Tianshu Sun, Zhe Yuan, Chunxiao Li, Kaifu Zhang and Jun Xu. (2021) “The Value of Personal Data in Internet Commerce: A High-stake Field Experiment on Data Regulation Policy”, Forthcoming, Management Science

-- Invited Seminar at Harvard, MIT, Chicago, CMU, UCLA, Google, Uber etc. See a summary in a Review Paper with leading Economists and Nobel Laureates on Data Value, Data Privacy and Data Regulation.

2.  Tianshu Sun, Siva Viswanathan and Elena Zheleva (2021) “Creating Social Contagion through Firm Mediated Message Design: Evidence from a Randomized Field Experiment”, Management Science, 67(2), 808-827.

3.  Brian Han, Tianshu Sun, Leon Chu and Lixia Wu (2021) “COVID-19 and E-commerce Operations: Evidence from Alibaba”, Forthcoming, Manufacturing & Service Operations Management

4.  Tianshu Sun, Yanhao Max Wei, Joseph Golden (2021) “Geographical Pattern of Online Word-of-Mouth: How Offline Environment Affects Online Sharing”, Forthcoming, Information Systems Research

5.  Angela Choi, Heeseung Lee, Tianshu Sun, Wonseok Oh (2021) “Reviewing Before Reading? An Empirical Investigation of Book Consumption Patterns and Their Effects on Reviews and Sales”, Forthcoming, Information Systems Research

6. Tianshu Sun and Sean Taylor (2020) “Displaying Things in Common to Encourage Friendship Formation: A Large Randomized Field Experiment”, Quantitative Marketing and Economics, 18, 237–271

-- Winner of QME Wittink Prize (Best Published Paper in 2020), Invited Talks at Facebook, LinkedIn, Snap, Wharton, CMU, also in ACM EC 2019 Proceeding

7.  Tianshu Sun, Siva Viswanathan, Ni Huang and Elena Zheleva (2020) “Designing Promotional Incentive to Embrace Social Sharing: Evidence from Field and Online Experiments”, MIS Quarterly, 45(2), 789-820

8.  Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun (2020) “Optimal Utilization of Heterogeneous Treatment Effects: A Prescriptive Analytics Approach”, Forthcoming, MIS Quarterly

9.  Ni Huang, Probal Mojumder, Tianshu Sun, Jinchi Lv, Joseph Golden (All contribute Equally) “Not Registered? Please Sign-up First: A Randomized Field Experiment on the Ex-ante Registration Request”, Information Systems Research, 32(3), 914-931

10. JaeHwuen Jung, Ravi Bapna, Joseph Golden and Tianshu Sun (2020) (All contribute equally) “Words Matter! Towards Pro-social Call-to-Action for Online Referral: Evidence from Two Field Experiments”, Information Systems Research, 31(1), 16-36

-- Knowledge@Wharton; Best Paper in E-Business, ICIS 2016

11. Tianshu Sun, Lanfei Shi, Siva Viswanathan and Elena Zheleva (2019) “Motivating Effective Mobile App Adoption: Evidence from a Large-Scale Randomized Field Experiment”, Information Systems Research, 30(2), 523-539.

12. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2019), “Mobile Messaging for Offline Group Formation in Prosocial Activities: A Large Field Experiment”, NBER Working Paper #21704, Management Science, 65(6), 2445-2945.

-- Best Paper (1st Place), CIST 2015; Best Paper (Honorable Mentions), INFORMS Doing Good with Good OR 2015;

13. Ni Huang, Tianshu Sun, Pei-yu Chen and Joseph Golden (2019) “Word-of-Mouth System Implementation and Customer Conversion: A Randomized Field Experiment”, Information Systems Research, 30(3), 805-818.

14. Tianshu Sun, Susan Feng Lu and Ginger Zhe Jin (2016), “Solving Shortage in a Priceless Market: Evidence from Blood Donation”, Journal of Health Economics, 48:149-165.

-- Featured on Nobel Laureate Al Roth’s blog, INET Winning Proposal 2013   

15. Mingxuan Yue, Tianshu Sun, Fan Wu, Lixia Wu, Yinghui Xu and Cyrus Shahabi (2020) “Learning Contextual and Topological Representations of Areas-of-Interest for On-Demand Delivery Application”, Proceedings of the 2020 European Conference on Machine Learning (ECML-PKDD 2020),

-- Best Applied Data Science Paper (Runner-up), ECML 2020