Projects
Information Disclosure and Conflict of Interest in Digital Health
I evaluated the impact of Sunshine Act, which was enacted in 2013 and required pharmaceutical companies to report payments to physicians. My current focus is on the impact of information disclosure on payments by Big Pharma and physician's prescribing behaviors.
Assessing the impact of the Physician Payments Sunshine Act on pharmaceutical companies’ payments to physicians. PLoS ONE 19(8): e0306886, 2024, Open Access, Download here
An Investigation of Marketing Compensation in Medicine: The Impact of the Information Disclosure Regulations. Proceeding of HICSS 2023
Case Study — Examining Open Payments Causal Impact on Companies Payments to Physicians, invited talk at Transparency, Aggregate Spend & HCP Engagement Event, McLean, VA, August, 2022
Internet Bot, Misinformation, and Disinformation
I studied online Misinformation and Disinformation in the context of public events (e.g. Covid-19 Pandemic) and of daily online shopping. Often, the unauthenticated information is generated and/or promoted by Internet Bots.
Exploring Cognitive Bias Triggers in COVID-19 Misinformation Tweets: A Bot vs. Human Perspective. Working paper under review.
Moral and emotional influences on attitude stability towards COVID-19 vaccines on social media. Working paper under review.
Efficiently promoting product online outcome: An iterative rating attack utilizing product and market property. IEEE Transactions on Information Forensics and Security, 2017, 12 (6), 1444-1457. https://doi.org/10.1109/TIFS.2017.2668992 (IF 7.178) Download PDF
Online product rating manipulation and market performance. IEEE Computer, 2015, 48 (5), 72-75, https://doi.org/10.1109/MC.2015.138 (IF 2.683) Download PDF
Can You Really Make Profit from Online Review Manipulations?: An Empirical Study. IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC 2016)
Economic Value of Online User-Generated Content
I studied the mechanism under which online user reviews created by different online identities and hosted by different platforms collectively influence online customer decisions, using Amazon, CNET and YELP data.
A text-based analysis of topic diversity in online reviews. Proceedings of CSWIM 2022.
When products receive reviews across platforms: Studying the platform concentration of electronic word-of-mouth. Information & Management, 2021, 58, https://doi.org/10.1016/j.im.2021.103532 (IF 7.555). Download PDF
The interplay between free sampling and word of mouth in the online software market. Decision Support Systems, 2017, 95, 82-90. http://dx.doi.org/10.1016/j.dss.2017.01.001 (IF 5.795). Download PDF
Do professional reviews affect online user choices through user reviews?: An empirical study. Journal of Management Information Systems, 2016, 33 (1), 202-228. https://doi.org/10.1080/07421222.2016.1172460 (Financial Times Top 50 Business Journal, IF 7.838) Download PDF
An empirical study of how third-party websites influence the feedback mechanism between online Word-of-Mouth and retail sales. Decision Support Systems, 2015, http://dx.doi.org/10.1016/j.dss.2015.03.010 (IF 5.795) Download PDF
Biases and Individual Heterogeneity on the Internet
I studied people's online decision making influenced by gender bias, individual's decision-making mindset and the nudging setting on the Internet.
Privacy decisions: the roles of individual’s maximizing mindset and the default setting. INFORMS Annual Meeting 2023.
Discrete emotions effects on electronic word-of-mouth helpfulness: The moderating role of reviewer gender and contextual emotional tone. Decision Support Systems, 2020, 130, https://doi.org/10.1016/j.dss.2019.113226 (IF 5.795) Download PDF
Can You Trust Mad Women? Invited talk at Computational Social Science Seminar at Facebook, Inc., CA, May, 2019
Small Business and E-commerce Long Tail
I studied the long tail phenomena in e-commerce, and identified that the abundance product variety and online user reviews interact to contribute to this emerging pattern in customer preference.
Online user reviews, product variety, and the long tail: An empirical investigation on online software downloads. Electronic Commerce Research and Applications, 2012, 11 (3), 275-289, http://dx.doi.org/10.1016/j.elerap.2011.12.002 (IF 6.014) Download PDF
Optimization Problem
I proposed an innovative appointment strategy by jointly optimizing appointment window and reminder sending time, to in presence of appointment no-shows.
"We missed you!": A Joint optimization strategy of appointment window and reminder sending. Computers & Industry Engineering, 2022, 169, https://doi.org/10.1016/j.cie.2022.108198, (IF 7.18). Download PDF