孫天澍教授現任長江商學院科技與運營終身教授、杰出院長講席教授，企業家學者DBA項目學術主任，數字化轉型中心主任，在南加州大學獲得終身教職以及Robert Dockson講席教授，同時兼任商學院與計算機系博士生導師。孫天澍的研究跨界結合AI數字化技術設計與商業設計，聚焦在企業和產業的“AI業務架構”和“業務數字化轉型”，特別是AI場景設計，AI業務重構，AI智能組織，AI人才體系，數據資產，信息系統，以及業務數字化戰略。孫天澍在中美頂尖企業有豐富的工作經歷與合作實踐（如Facebook，Adobe等），并擔任多家中國頂級企業的董事和資深顧問，數字化商業設計、數據科學方法和AI算法系統在多個行業的全鏈路場景落地。孫天澍近年的學術研究和產業實踐尤其關注AI與商業的融合與重構—特別是AI大模型，AI智能體，大數據，云計算，物聯網和具身智能如何持續的改變全渠道零售，快消，醫藥，金融，智能制造，餐飲生活和企業服務等行業。
孫天澍受邀在頂級大學(哈佛,MIT,沃頓商學院,芝加哥,斯坦福等)以及國際頂級學術會議上發表八十多場學術演講，并在Facebook, Google, Snapchat, 領英, 優步, 阿里巴巴, 中信集團, 人民日報集團等頂級機構做AI大模型，數字化轉型，數據資產和平臺戰略的邀請分享和培訓。孫天澍的研究論文發表在信息系統，機器學習，運籌優化，經濟學和商學院國際頂級期刊與會議，獲得16項最佳論文獎(包括芝加哥大學頒發的Wittink Prize年度最佳論文獎)，以及南加州大學頒發的年度最佳教授獎(Golden Apple Award)。孫天澍教授擔任多個國際頂級期刊常務和客座編委(MS, ISR, MISQ, MSOM)和國際會議大會聯席主席(CIST,WEBEIS)，并獲得多個頂級機構的研究支持，指導的博士學生在UIUC、Queens、ASU、SCU等學校擔任教職，培養的研究助理和研究生在MIT、沃頓商學院、康奈爾、明尼蘇達、香港科技大學等攻讀博士。孫天澍本科畢業于南京大學物理系，在馬里蘭大學修讀物理，電子工程與經濟學博士課程，獲得信息系統博士學位。
● AI業務架構
● AI智能體場景應用
● AI驅動的人機協同和下一代智能組織
● 業務數字化轉型
● 數字化平臺戰略
● 數字化創新組織
● 數字化應用技術 (云計算,大數據,物聯網, IaaS/SaaS/PaaS)
● 數據科學與數據驅動的決策 (因果分析，機器學習與大規模實驗設計)
● 數據資產，隱私，流通和定價，數據網絡效應，以及大數據和人工智能對社會的影響
● 互聯網平臺的戰略，競爭與監管
● 產業數字化政策與標準(數據標準, 人才教育, 軟件生態)
● 管理信息系統與企業軟件服務
● 新零售，新制造與新金融
Published/Accepted Papers
26.Wen Wang, Siqi Pei, and Tianshu Sun (2025) "Unraveling Generative AI from A Human Intelligence Perspective: A Battery of Experiments", Forthcoming, Information Systems Research
25.Zhe Yuan, Tianshu Sun, Yitong Wang, and Huilan Xu (2025), "Democratizing Data Analytics Product to Drive SME Growth: A Natural Experiment", Forthcoming, Manufacturing & Service Operations Management
24.Aishwarya Deep Shukla, Guodong (Gordon) Gao, Ritu Agarwal and Tianshu Sun (2025) “Effects of Nudging and Privacy Control on Online Physician Reviews: Evidence from a Field Experiment”, Forthcoming, Journal of Management Information Systems
23.Tianshu Sun, Zhe Yuan, Chunxiao Li, Kaifu Zhang, Jun Xu (2024) The Value of Personal Data in Internet Commerce: A High-Stake Field Experiment on Data Regulation Policy, 70(4):2645-2660, Management Science
(See a review paper with Leading Economists on Data Value, Data Privacy, and Data Regulation which covers some of the experiment findings.
Presented/Scheduled at Harvard, MIT, U Chicago, CMU, NYU, UCLA, USC, BU, UT Austin, UMN, UBC, Purdue, Tsinghua, etc.
22.Zhe Yuan, AJ Chen, Yitong Wang, and Tianshu Sun (2024) "How Recommendation Affects Customer Search: A Field Experiment", Forthcoming, Information Systems Research
21.JaeHwuen Jung, Tianshu Sun, Ravi Bapna, and Joseph Golden (2024) “Social Learning in Prosumption: Evidence from a Randomized Field Experiment”, Forthcoming, Management Science
20.Andrew Heeseung Lee, Angela Choi, Tianshu Sun, Wonseok Oh, "To Split or to Merge?: How Partitioning Affects Consumption and Engagement with Digital Content", Forthcoming, Information Systems Research
19.Brian Rongqing Han, Tianshu Sun, Leon Yang Chu, Lixia Wu (2024) “Connecting Customers and Merchants Offline: Experimental Evidence from The Commercialization of Last-Mile Pickup Stations at Alibaba” (CODE 2018, WISE 2018, ICIS 2019, SCECR 2019), MIS Quarterly, 48(3): 1157-1192
18.Tianshu Sun, Max Wei and Joe Golden (2025), Geographical Pattern of Online Word-of-Mouth: How Offline Environment Influences Online Sharing, Forthcoming, Information Systems Research
17.Brian Rongqing Han, Leon Yang Chu, Tianshu Sun, Lixia Wu (2024) “Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses”, (WISE 2019 Best Student Paper), Forthcoming, Management Science
16.Ruomeng Cui, Zhikun Lu, Tianshu Sun, Joseph Golden (2024) "Sooner or Later? Promising Delivery Speed in Online Retail", (ICIS 2021 Best Paper in "Digital and Mobile Commerce"), Manufacturing & Service Operations Management, 26(1):233-251.
15.Yicheng Song and Tianshu Sun (2024) “Ensembling Experiments to Optimize Customer Journey: A Reinforcement Learning Approach” , Management Science, 70(8):5115-5130.
--Adobe Faculty Research Award 2020, Marketing Science Institute (MSI) Research Grant 2021
14.Wilson Lin, Susan Feng Lu, Tianshu Sun (2023) "Worker Experience and Donor Heterogeneity: The Impact of Charitable Workers on Donors’ Blood Donation Decisions", Manufacturing & Service Operations Management, 25(3):939-957.
13.Brian Han, Tianshu Sun, Leon Chu and Lixia Wu (2022) “COVID-19 and E-commerce Operations: Evidence from Alibaba”, Manufacturing & Service Operations Management, 24(3):1388-1405
12.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.
-- Best Dissertation Proposal (Runner-up), WITS 2015; Best Paper (Finalist), CSWIM 2015; Best Student Paper (3rd Place), INFORMS Service Science Society 2014; Winner, Marketing Science Institute (MSI) Research Competition 2014
11.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 Dick Wittink Prize (Best Published Paper in QME 2020), Included in the Proceedings of ACM EC 2019, Talks at Facebook, LinkedIn, Snap, CODE/MIT, Wharton, CMU, BU, ASU, CUHK, KAIST, PKU, Tsinghua, Jiaotong
10. Heeseung Andrew Lee, Angela Aerry Choi, Tianshu Sun, Wonseok Oh (2021) “Reviewing Before Reading? An Empirical Investigation of Book Consumption Patterns and Their Effects on Reviews and Sales”, Information Systems Research, 32(4), 1368-1389.
9.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 (2021) “A Prescriptive Analytics Framework for Optimal Policy Deployment using Heterogeneous Treatment Effects”, MIS Quarterly, 45(4), 1807-1832
7.Ni Huang, Probal Mojumder, Tianshu Sun, Jinchi Lv, Joseph Golden “Not Registered? Please Sign-up First: A Randomized Field Experiment on the Ex-ante Registration Request”, Information Systems Research, 32(3), 914-931 (Equal Contribution)
6.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 Award, Runner-up
5.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 Finalist & Best Paper in E-Business, ICIS 2016
4.Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2019), “Mobile Messaging for Offline Group Formation in Prosocial Activities: A Large Field Experiment”, Management Science, 65(6), 2445-2945.
-- Best Paper, CIST 2015; Best Paper (Honorable Mentions), INFORMS Doing Good with Good OR 2015; Best Student Paper (Finalist), WHITE 2015
3.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.
-- CIST 2016, SCECR 2016, Marketing Science 2017, Temple University 2017
2.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.
-- Best Paper (Finalist), ICIS 2017; Best Paper, ICIS E-Business Track 2017, CIST 2017
1.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(2016):149-165.
-- Featured on Nobel Prize Laureate Al Roth’s blog and in NBER News; Winning Proposal, Institute for New Economic Thinking (INET) & Soros Foundation, 2013
Selected Working Papers
27.“Understanding the Impacts of De-personalization in Search Algorithms: A Field Experiment with a Large Online Platform”, with Yuxin Chen, Zhe Yuan and AJ Chen, Major Revision, Management Science
28.Xing Lan, Tianshu Sun, Jason Duan (2024) “Uncovering Offline Conversion Funnel with Internet-of-Things: the value of IoT data in Retailing Industry”, (Marketing Dynamics 2018, CIST 2018, ISMS 2017, POMS 2019, SCECR 2019), Major Revision, Information Systems Research
29.Yicheng Song and Tianshu Sun, Consumer Search and Dynamic Preference: A Deep Structural Econometric Model, Major Revision, Management Science
-- Best Conference Paper (Runner-up), CIST 2023
30.Wen Wang, Mochen Yang, and Tianshu Sun (2024) "Human-AI Co-Creation in Product Ideation: the Dual View of Quality and Diversity", Major Revision
31.Zhikun Lu, Ruomeng Cui, Tianshu Sun and Lixia Wu (2024), "The Value of Last-mile Delivery in Online Retail", Major Revision, Management Science
32.Wen Wang, Zhenyue Zhao, and Tianshu Sun (2024) "Customizing Large Language Models for Business Context: Framework and Experiments", Major Revision
33.Bowen Lou, Hongshen Sun and Tianshu Sun, "GPTs and Labor Markets in the Developing Economy: AI, Geography and Policy", Major Revision
34.Mengxia Zhang, Brian Han,, Tianshu Sun, Lan Luo and Joe Golden (2024) “Consumer and AI Co-creation: When and Why can human Improve AI Creation?”, Under Review
35.“IBASE: Adaptive Causal Inference by Integrating Big Data and Small Experiment”, with Jinchi Lv (Adobe Faculty Research Award 2017-2018)
36.James Enouen, Tianshu Sun and Yan Liu, "Measuring, Interpreting, and Correcting Algorithm Unfairness using Randomized Experiments", Working Paper
37.Matteo Sesia and Tianshu Sun, "Searching for subgroup-specific associations while controlling the false discovery rate", Under Review
38.Xinze Du, Yingying Fan, Jinchi Lv, Tianshu Sun and Patrick Vossler “Dimension-Free Average Treatment Effect Inference with Deep Neural Networks”, Major Revision, Journal of Econometrics
39.Bowen Lou, Zhe Yuan, Tianshu Sun, Lu Fang (2024), "Enhancing Complementor Innovation through Market Information", Working Paper (ICIS 2024)
40.Yan Leng and Tianshu Sun (2023), Algorithm-defined Data Network Effect: Simulated and Field Experiments, Working Paper
41."Handbook on Digital Platforms" (Cambridge University Press), with Daniel Sokol, Anthony Dukes, Feng Zhu, Work-in-Progress
42.Sipeng Zeng, Wang Jin and Tianshu Sun, The Value of Data in the Digital Economy: Investigating the Economic Consequences of Personal Information, Working Paper (WISE 2024)
43.Shuyi Dong, Wang Jin and Tianshu Sun, AI Investment and Firm Performance: Insights from China, Working Paper
44.Sipeng Zeng, Wang Jin and Tianshu Sun, Digital Leadership Edge: Chairman Traits and Their Impact on Digital Transformation, Working Paper
45.Brian Han and Tianshu Sun, "Field Experiment on Digital Platforms", Under Review
46.Brian Han and Tianshu Sun, AI’s Invisible Hand: How Algorithms and Personal Data Shape Consumers and Competition, Under Review
Report on Data Value, Data Privacy and Data Regulation:
Patrick Bolton, Long Chen, Bengt Holmström, Eric Maskin, Sir Christopher Pissarides, Michael Spence, Tao Sun, Tianshu Sun, Wei Xiong, Liyan Yang, and et al. (2021) “Understanding Big Data: Data Calculus in the Digital Age". Luohan Academy Report.
Report on Digital Experimentation:
Ravi Bapna, Gordon Burtch, Yili Hong, Tianshu Sun, Jason Thatcher, "Lab experiment and field experiment in the digital age: Friend or foe?" Proceedings of the International Conference on Information Systems (ICIS 2018)
