Research Interests: AI & Digital Economy, FinTech & Blockchain, Human-Algorithm Interaction

Publications (including Forthcoming and Conditionally Accepted)

1. Xiang (Shawn) Wan, Anuj Kumar, Xitong Li (2024) “How Do Product Recommendations Help Consumers Search? Evidence from a Field Experiment”, Management Science 70(9):5776-5794.

   • Awarded by Digital Markets Initiative's Competitive Research Award Program ($11,000) in 2021, University of Florida

   • Media Coverage: How valuable are online product recommendations to consumers? (University of Florida - News)

2. Xiang (Shawn) Wan, Anuj Kumar, Xitong Li (2024) “Retargeted versus Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?”, Information Systems Research 35(3):1403-1421.

   • Media Coverage: How to optimize online sales with a hybrid product recommendation? (University of Florida - Warrington College of Business Newsroom)

3. Jian Li, Xiang (Shawn) Wan, Kenny Cheng, Xi Zhao (2024) “Operation Dumbo Drop: To Airdrop or Not to Airdrop for Initial Coin Offering Success?”, Information Systems Research 35(4):1507-2085.

4. Xi Zhao, Jian Li, Xiang (Shawn) Wan, Xinyu Zang, Kenny Cheng (2025) “What Doesn’t Kill You Makes You Stronger? Evidence from Vampire Attack on Decentralized Exchange and Non-Fungible Token Marketplace”, Journal of Operations Management - Special Issue on Operational Perspectives on Blockchain Applications, 71(7): 1036-1067.

   • Best Paper Nomination, the Hawaii International Conference on System Sciences (HICSS) 2024

5. Xiang (Shawn) Wan, Anuj Kumar, Xitong Li (2025) “Is It Beneficial to Recommend Differently Priced Products? Experimental Evidence from Online Recommender Systems", Production and Operations Management, Forthcoming.

6. "Unveiling the Impact of Delegated Voting on Decentralized Autonomous Organizations", with Kenny Cheng, Zhecheng Wang, Xinyu Zang, Xi Zhao, Gengzhong Feng, Information Systems Research, Conditionally Accepted.

Working Papers

7. Xiang (Shawn) Wan, Anuj Kumar, Haldun Aytug. “When Product Recommendations Fall Short: The Heterogeneous Impact of Product Network Characteristics on Recommender System Performance”, MIS Quarterly, Preparing for 3rd-Round Review.

• Awarded by Digital Markets Initiative's Competitive Research Award Program ($10,000) in 2021, University of Florida

8. Xiang (Shawn) Wan, J.J. Po-An Hsieh, Ji-Ye Mao, Vallabh Sambamurthy. “How Does Data Analytics Capabilities Impact Overall Firm Performance? An Examination from the Lenses of Complementarity and Operational Ambidexterity”, Production and Operations Management, Preparing for 3rd-Round Review.

9. Xiang (Shawn) Wan, Xiaojing Dong, Yuchi Zhang, Xiaosong Dong. “Recommendation Effects in the Presence of Customer Learning and Privacy Concerns”, Marketing Science, Major Revision.

10. “The Empire Strikes Back in Token Wars: How Token Incentive Impacts User Engagement on Decentralized Exchange Platforms”, with Kenny Cheng, Xi Zhao, Jian Li, Xinyu Zang, Information Systems Research, Major Revision.

11. “Copycats or Catalysts: How NFT Imitation Impacts Originals”, with Liangfei Qiu, Liukai Wang, Shuhao Liang, and Xiangbin Yan, Information Systems Research, Major Revision. 

12. "Bridge of Cryptos: The Impact of Cross-Chain Technology on Market Efficiency", with Kenny Cheng, Xi Zhao, Yingying Li, Xinyu Zang, Information Systems Research, Major Revision. 

13. Xiaomeng Chen, Xiang (Shawn) Wan, Xitong Li, Anuj Kumar.“Unveiling the Impact of Delaying Price Disclosure: Evidence from a Field Experiment on a Hotel Booking Platform”, Information Systems Research, Major Revision.

14. Ying Ji, Chaoyue Gao, Xiang (Shawn) Wan, Allen Li.“Designing AI-Generated Summaries for Online Video Platforms: Evidence from a Field Experiment”, under review.

15. Ying Ji, Chaoyue Gao, Xiang (Shawn) Wan, Allen Li. “How Do AI-Generated Summaries Affect User-Generated Content? Evidence from a Quasi-Experiment on a Restaurant Review Platform”, under review.

16. Xinyu Zang, Xiang (Shawn) Wan, Liangfei Qiu, Naveen Kumar, Subodha Kumar. “The Echoes of Competition: Understanding Its Impact on Consumer Review Behavior”, under review.

17. "Too Trustworthy to Fund: The Rise and Fall of Founder CEO's Facial Trustworthiness in Initial Coin Offering Success", with Liangfei Qiu, Liukai Wang, Min Li, under review.

Conference Presentations

1. “Designing AI-Generated Summaries for Online Video Platforms: Evidence from a Field Experiment”, Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, January 6-9, 2026.

2. “Copycats or Catalysts: How NFT Imitation Impacts Originals”, Workshop on Information Technologies and Systems (WITS), Nashville, Tennessee, December 17-19, 2025.

3. “When Product Recommendations Fall Short: The Heterogeneous Impact of Product Network Characteristics on Recommender System Performance”, INFORMS Annual Meeting, Atlanta, Georgia, October 26-29, 2025.

4. “Designing AI-Generated Summaries for Online Video Platforms: Evidence from a Field Experiment”, Conference on Information Systems and Technology (CIST), Atlanta, Georgia, October 25-26, 2025.

5. “Designing AI-Generated Summaries for Online Video Platforms: Evidence from a Field Experiment”, 21st Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Paphos, Cyprus, June 22-24, 2025.

6. “How Do AI-Generated Summaries Affect Review Contributions? Evidence from a Restaurant Review Platform”, Biz AI Conference: AI Applications in Business Research, Dallas, Texas, March 28-30, 2025.

7. “How Do AI-Generated Summaries Affect Review Contributions? Evidence from a Restaurant Review Platform”, AI in Management Conference, Los Angeles, California, March 21-22, 2025.

8. “When Product Recommendations Fall Short: The Heterogeneous Impact of Product Network Characteristics on Recommender System Performance”, POMS International Conference, Istanbul, Türkiye, June 25-27, 2024.

9. “Straying or Staying: The Impact of Token Incentives on User Defection and Retention”, POMS International Conference, Istanbul, Türkiye, June 25-27, 2024.

10. “When Product Recommendations Fall Short: The Heterogeneous Impact of Product Network Characteristics on Recommender System Performance”, 20th Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Lisbon, Portugal, June 19-21, 2024.

11. “What Doesn’t Kill You Makes You Stronger? Evidence from Vampire Attack on Decentralized Exchange”, Hawaii International Conference on System Sciences (HICSS), Waikiki, Hawaii, January 3-6, 2024.

• Best Paper Nomination

12. “What Doesn’t Kill You Makes You Stronger? Evidence from Vampire Attack on Decentralized Exchange”, Workshop on Information Technologies and Systems (WITS) 2023, Hyderabad, India, December 13-15, 2023.

13. “What Doesn’t Kill You Makes You Stronger? Evidence from Vampire Attack on Decentralized Exchange”, INFORMS Annual Meeting, Phoenix, Arizona, October 15-18, 2023.

14. “What Doesn’t Kill You Makes You Stronger? Evidence from Vampire Attack on Decentralized Exchange”, Conference on Information Systems and Technology (CIST) 2023, Phoenix, Arizona, October 14-15, 2023.

15. “What Doesn’t Kill You Makes You Stronger? Evidence from Vampire Attack on Decentralized Exchange”, Pacific Asia Conference on Information Systems 2023 (PACIS2023) - Workshop of Blockchain in IS: Now and Future, Nanchang, China, July 8-12, 2023.

16. “What Doesn’t Kill You Makes You Stronger? Evidence from Vampire Attack on Decentralized Exchange”, the 16th China Summer Workshop on Information Management (CSWIM), Changsha, China, June 24-25, 2023.

17. “Price Obfuscation and Demand Shift: Evidence From a Field Experiment on a Hotel Booking Platform”, the Nineteenth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Bogotá, Colombia, June 8 - 10, 2023.

18. “Is Token Airdrop Effective in User Retention for Decentralized Exchanges?”, 33rd Annual POMS Conference, Orlando, Florida, May 21 - 25, 2023.

19. “Operation Dumbo Drop: To Airdrop or Not to Airdrop for Initial Coin Offering Success?”, 33rd Annual POMS Conference, Orlando, Florida, May 21 - 25, 2023.

20. “What Doesn’t Kill You Makes You Stronger? Evidence from Vampire Attack on Decentralized Exchange”, the Business of Blockchain Technology Conference, Miami, Florida, May 19 - 20, 2023.

21. “Operation Dumbo Drop: To Airdrop or Not to Airdrop for Initial Coin Offering Success?”, the Business of Blockchain Technology Conference, Miami, Florida, May 19 - 20, 2023.

22. “Price Obfuscation and Demand Shift: Evidence From a Field Experiment on a Hotel Booking Platform”, virtual INFORMS ISS Paper Development Workshop, April 29, 2023.

23. “Price Obfuscation and Demand Shift: Evidence From a Field Experiment on a Hotel Booking Platform”, Conference on Information Systems and Technology (CIST) 2022, Indianapolis, Indiana, October 15–16, 2022.

24. “Operation Dumbo Drop: To Airdrop or Not to Airdrop for Initial Coin Offering Success?”, INFORMS Annual Meeting 2022, Indianapolis, Indiana, October 16–19, 2022.

25. "Operation Dumbo Drop: To Airdrop or Not to Airdrop for Initial Coin Offering Success?", Workshop on Information Technologies and Systems (WITS) 2021, Austin, Texas, December 15–17, 2021.

26. "The Economic Value of Algorithmic Product Recommendation Systems", Workshop on Information Technologies and Systems (WITS) 2021 – Dissertation Track, Austin, Texas, Dec 15–17, 2021.

• Best Dissertation Runner-up Award

27. "Retargeted versus Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?", Workshop on Information Technologies and Systems (WITS) 2021, Austin, Texas, Dec 15–17, 2021.

28. "The Economic Value of Algorithmic Product Recommendation Systems", International Conference on Information Systems (ICIS) 2021 Doctoral Consortium, Austin, Texas, Dec 8–10, 2021

29. "Heterogeneous Treatment Effect of Product Recommendations and Optimal Recommendation Policy", virtual 2021 Conference on Artificial Intelligence, Machine Learning, and Business Analytics (AIML), Dec 2-3, 2021.

30. "Heterogeneous Treatment Effect of Product Recommendations and Optimal Recommendation Policy", virtual 2021 Decision Science Institute (DSI) Annual Conference, Nov 19-21, 2021.

31. “How Beneficial are Recommendations to Consumers? Estimates of Relative Benefits of Product Recommendations to Consumers and Retailers”, Conference on Information Systems and Technology (CIST), Newport Beach, CA, October 23-24, 2021.

32. “Estimating Heterogeneous Treatment Effect in Product Recommendations”, INFORMS Workshop on Data Mining and Decision Analytics, Anaheim, CA, October 23, 2021.

33. “Estimating Heterogeneous Treatment Effect in Product Recommendations”, virtual Machine Learning for Consumers and Markets Workshop at Knowledge Discovery and Data Mining Conference (MLCM@KDD), August 14-18, 2021.

34. "The Economic Value of Algorithmic Product Recommendation Systems", virtual Americas Conference on Information Systems (AMCIS) 2021 Doctoral Consortium, August 10-11, 2021 (originally to be held in Montreal, Canada)

35. "The Economic Value of Algorithmic Product Recommendation Systems", virtual Organizational Communication & Information Systems (OCIS) 2021 Doctoral Consortium at AOM Annual Meeting, July 30, 2021 (originally to be held in Philadelphia, PA)

36. “Estimating Heterogeneous Treatment Effect in Product Recommendations”, virtual Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), June 17-18, 2021.

37. “How Beneficial are Recommendations to Consumers? Estimates of Relative Benefits of Product Recommendations to Consumers and Retailers”, virtual ZEW Conference on the Economics of Information and Communication Technologies, June 10-11, 2021.

38. “How Beneficial are Recommendations to Consumers? Estimates of Relative Benefits of Product Recommendations to Consumers and Retailers”, virtual Workshop on Information Systems and Economics (WISE), December 16-19, 2020.

39. “How Beneficial are Recommendations to Consumers? Estimates of Relative Benefits of Product Recommendations to Consumers and Retailers”, virtual Conference on Digital Experimentation @MIT (CODE@MIT), November 19-20, 2020.

40. “Retargeted Versus Generic Product Recommendations: When is it Valuable to Give Retargeted Recommendations?”, virtual Conference on Information Systems and Technology (CIST), November 7-8, 2020.

41. “Is it Beneficial to Recommend Differently Priced Products? Experimental Evidence from an Online Product Recommendation System”, Workshop on Information Technologies and Systems (WITS), Munich, Germany, December 18-20, 2019.

42. “Is it Beneficial to Recommend Differently Priced Products? Experimental Evidence from an Online Product Recommendation System”, Conference on Digital Experimentation @MIT (CODE@MIT), Boston, MA, November 1-2, 2019.

43. “Experiential Learning and Health Information Exchange Use: Effects of Physician Workload and Disease Complexity”, INFORMS Annual Meeting, Phoenix, AZ, November 3-4, 2018.

44. “The Influence of Data Analytics Capabilities on Organizational Performance: The Mediating Role of Exploitative and Exploratory Innovation”, International Conference on Information Systems (ICIS), Seoul, South Korea, December 10-13, 2017.

45. “The Influence of Data Analytics Capabilities on Organizational Performance”, Tsinghua-Renmin-Peking Academia Colloquium Exchange on Information Systems (TRPACE-IS), Peking University, Beijing, China, June 15, 2017.

46. “The Effect of Social Capital of the Relationship Between the CIO and Top Management Team on Data Analytics Capabilities: the Mediating Role of Top Management Team Support”, Tsinghua-Renmin Academia Colloquium Exchange on Information Systems (TRACE-IS), Tsinghua University, Beijing, China, December 30, 2016.

47. "The Influence of Relationships on Inter-Organizational Information Systems Usage and Supply Chain Performance", Wuhan International Conference on E-Business (WHICEB) (AIS affiliated conference), Wuhan, China, June 19-21, 2015.

• Best Paper Nomination