Publications and Working Papers

Topic 1: Algorithmic Product Recommendation Systems

1. Xiang (Shawn) Wan, Anuj Kumar, Xitong Li. “How Do Product Recommendations Help Consumers Search? Evidence from a Field Experiment”, Management Science, forthcoming.

• 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. “Retargeted versus Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?”, Information Systems Research, forthcoming.

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

3. Xiang (Shawn) Wan, Anuj Kumar, Haldun Aytug. “When Product Recommendations Fall Short: The Heterogeneous Impact of Product Network Characteristics on Recommender System Performance”, under review.

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

4. Xiang (Shawn) Wan, Anuj Kumar, Xitong Li. “Is It Beneficial to Recommend Differently Priced Products? Experimental Evidence from Online Recommender Systems", under review.

Topic 2: FinTech, AI, and Blockchain

5. Jian Li, Xiang (Shawn) Wan, Kenny Cheng, Xi Zhao. “Operation Dumbo Drop: To Airdrop or Not to Airdrop for Initial Coin Offering Success?”, Information Systems Research, forthcoming.

6. Xi Zhao, Jian Li, Xiang (Shawn) Wan, Xinyu Zang, Kenny Cheng. “What Doesn’t Kill You Makes You Stronger? Evidence from Vampire Attack on Decentralized Exchange”, under review.

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

7. “Economics of Token Airdrop for Initial Coin Offerings”, with Kenny Cheng, Xinyu Zang, Jian Li, Xi Zhao, to be submitted.

Topic 3: Digital Economy

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”, under review.

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

10. “Price Obfuscation and Demand Shift: Evidence From a Field Experiment on a Hotel Booking Platform”, with Xiaomeng Chen, Xitong Li, Anuj Kumar, work-in-progress.

11. "Economics of Live Streaming", with Qili Wang, Liangfei Qiu, Kenny Cheng, work-in-progress.

Conference Presentations

1. “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

2. “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.

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

4. “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.

5. “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.

6. “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.

7. “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.

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

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

10. “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.

11. “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.

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

13. “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.

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

15. "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.

16. "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

17. "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.

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

19. "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.

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

21. “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.

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

23. “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.

24. "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)

25. "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)

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

27. “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.

28. “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.

29. “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.

30. “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.

31. “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.

32. “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.

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

34. “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.

35. “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.

36. “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.

37. "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