Yuanfeng Cai

Education

Ph.D., Information Systems, Iowa State University

M.S., Information Systems, Iowa State University

Bachelor of Engineering, Computer Science and Technology, Tongji University China

Journal Articles

Zhou, Y., Yang, G., Yan, B., Cai, Y., & Zhu, Z. (2022). Point-of-interest recommendation model considering strength of user relationship for location-based social networks. Expert Systems with Applications,

Cai, Y., & Zhu, D. (2020). Who Can We Trust: A New Approach for Fraudulent Rater Detection in Reputation Systems. Decision Sciences , 51(1).

Cai, Y., & Zhu, D. (2019). Trustworthy and Profit---a New Method for Neighbor Selection in Recommender Systems with Shilling Attacks. Decision Support Systems , 124.

Cai, Y., Jiang, Z., & Mookerjee, V. (2017). How to Deal with Liars? Designing Intelligent Rule-Based Expert Systems to Increase Accuracy or Reduce Cost. INFORMS Journal on Computing , 29(2). 268-286.

Cai, Y., & Zhu, D. (2016). Fraud detections for online businesses: a perspective from blockchain technology. Financial Innovation, 2(20).

Cai, Y., & Zhu, D. (2016). Reputation in an Open Source Software Community: Antecedents and Impacts. Decision Support Systems , 91. 103-112.

Conference Proceedings

Xu, M., & Cai, Y. (2021). Attributes and Actions: A Signaling Examination on the Determinants of Crowdfunding Success. Americas Conference on Information Systems 2021, Virtual Conference.

Xu, M., & Cai, Y. (2021). Who to donate to? A Recommender Model for Donation-based Crowdfunding. Americas Conference on Information Systems 2021, Virtual Conference.

Xu, M., & Cai, Y. (2018). Text Analysis For Educational Crowdfunding Success: Comparison Between Different Textual Components. Informs Annual Meeting 2018.

Hu, Y., Cai, Y., & Jain, R. (2018). Examining Determinants of Controls in Open Source Software Development. 24th Americas Conference on Information Systems (AMCIS' 18).

Cai, Y., & Zhu, D. (2015). Rating Fraud Detection---Towards Designing a Trustworthy Reputation Systems. Thirty Six International Conference on Information Systems (ICIS '15).

Cai, Y., & Zhu, D. (2015). How Could We Cope With Malicious Rater? ---a New Detection Method For Trustworthy Reputation Systems. Informs Annual Meeting 2015.

Cai, Y., & Zhu, D. (2015). An Evidence-Based Analysis for Liver Transplants: Insights for Organ Allocation Policy. 21st Americas Conference on Information Systems (AMCIS '15).

Cai, Y., & Zhu, D. (2013). Understanding Factors Influencing Users' Retweeting Behavior---A Theoretical Perspective. 19th Americas Conference on Information Systems (AMCIS '13).

Cai, Y., & Zhu, D. (2013). A Theoretical Exploration for Supply Chain Leagility Capability: From the Dynamic Capabilities View. Forty Sixth Hawaii International Conference on System Sciences (HICSS '13).

Cai, Y., & Zhu, D. (2012). Reputation in an Open Source Software Community. 22nd Workshop on Information Technologies & Systems (WITS '12).

Cai, Y., Jiang, Z., & Mookerjee, V. (2012). Designing Intelligent Expert Systems to Cope with Liars. Thirty Third International Conference on Information Systems (ICIS '12).

Presentations

Vaghefi, I., Cai, Y., & Jain, R. (2022, August 5). An Exploratory Investigation of OSS Business Model as an Enabler of Inclusive Digital Healthcare Innovation Process. Academy of Management Professional Development Workshop on Widening the divide through digital health innovation? A Towards Health Futures.

Cai, Y., & Jain, R. (2021, June 30). Competing or Complementary: Turning Competing Concerns of OSS Firms into Complementary Assets. Virtual SIGSAND 2021.

Cai, Y. (2019, March 6). Redesigning Intelligent Expert Systems to Cope with Liars. citi 2019 GIS Virtual Conference.

Gao, Q., & Cai, Y. (2018, June 23). The Unspoken Power: The Offline Social Information in Online Credit Market. China Summer Workshop on Information Management (CSWIM). Qingdao City, China

Cai, Y., & Zhu, D. (2017, October 31). How to Optimize Seller’s Profits with Shilling Attacks. First Annual Symposium on Business Analytics: Research and Pedagogy. Baruch College: Paul H. Chook Department of Information Systems and Statistics.

Cai, Y. (2016, November 30). How can we detect fraudulent raters. The Information Systems and Statistics Research Seminar Series. Zicklin School of Business, Baruch College

Cai, Y., & Zhu, D. (2015, August 14). An Evidence-Based Analysis for Liver Transplants: Insights for Organ Allocation Policy. 21st Americas Conference on Information Systems (AMCIS '15). Puerto Rico

Cai, Y., & Zhu, D. (2015, December 31). Rating Fraud Detection---Towards Designing a Trustworthy Reputation Systems. Thirty Six International Conference on Information Systems (ICIS '15). Dallas, TX

Cai, Y., & Zhu, D. (2015, November 30). How Could We Cope With Malicious Rater? ---a New Detection Method For Trustworthy Reputation Systems. Informs Annual Meeting 2015. Philadelphia,PA

Cai, Y., & Zhu, D. (2013, August 31). Understanding Factors Influencing Users' Retweeting Behavior---A Theoretical Perspective. 19th Americas Conference on Information Systems (AMCIS '13). Chicago, IL

Cai, Y., & Zhu, D. (2013, December 31). Develop Profitable Recommendation Systems with Shilling Attacks Protection. 23rd Workshop on Information Technologies & Systems (WITS '13). Milan, Italy

Cai, Y., & Zhu, D. (2013, January 31). A Theoretical Exploration for Supply Chain Leagility Capability: From the Dynamic Capabilities View. Forty Sixth Hawaii International Conference on System Sciences (HICSS '13). Maui, HI

Cai, Y. (2012, December 31). How can we detect liars?. PhD Research Seminar. College of Business, Iowa State University

Cai, Y., & Zhu, D. (2012, December 31). Reputation in an Open Source Software Community. 22nd Workshop on Information Technologies & Systems (WITS '12). Orlando, FL

Cai, Y., Jiang, Z., & Mookerjee, V. (2012, December 31). Designing Intelligent Expert Systems to Cope with Liars. Thirty Third International Conference on Information Systems (ICIS '12). Orlando, FL