Yu-Kai Lin

Journal Publications

1. Yu-Kai Lin and Arun Rai (2023) “The Scope of Software Patent Protection in the Digital Age: Evidence from Alice,” Information Systems Research, Accepted
2. Yu-Kai Lin*, Arun Rai*, and Yukun Yang* (2022) “Information Control for Creator Brand Management in Subscription-Based Crowdfunding,” Information Systems Research (33:3), pp. 846–866. (* equal authorship)
3. Yu-Kai Lin and Likoebe Maruping (2022) “Open Source Collaboration in Digital Entrepreneurship,” Organization Science (33:1), pp. 212–230.
4. Yu-Kai Lin and Xiao Fang (2021) “First, Do No Harm: Predictive Analytics to Reduce In-Hospital Adverse Events,” Journal of Management Information Systems (38:4), pp. 1122–1149.
5. Yu-Kai Lin, Mingfeng Lin, and Hsinchun Chen (2019) “Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act,” Information Systems Research (30:1), pp. 306–318.
6. Yu-Kai Lin, Hsinchun Chen, Randall Brown, and Shu-Hsing Li. (2017) “Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach,” MIS Quarterly (41:2), pp. 473-495.
7. Yu-Kai Lin, Hsinchun Chen, Randall A Brown, Shu-Hsing Li, and Hung-Jen Yang. (2014) “Time-to-Event Predictive Modeling for Chronic Conditions Using Electronic Health Records,” IEEE Intelligent Systems (29:3), pp. 14-20.
8. Yu-Kai Lin, Hsinchun Chen, and Randall A. Brown. (2013) “MedTime: A Temporal Information Extraction System for Clinical Narratives,” Journal of Biomedical Informatics (46), pp. S20-S28.

Conference Papers and Presentations

1. A Theory of Open Source Security: The Spillover of Security Knowledge in Vulnerability Disclosures through Software Supply Chains (with Weifeng Li); The 2023 Workshop on the Economics of Information Security (WEIS 2023)
2. Market Reactions to AI Patent Infringement Lawsuits: A Signaling-Based View (with John Sudeep Teli and Arun Rai); The 2022 Workshop on e-Business (WeB 2022) – Runner-up Award for Best Completed Research Paper
3. Patent Protection and Software Innovation: Evidence from Alice (with Arun Rai); The 2021 Workshop on Information Systems Economics (WISE 2021)
4. Toward a Better Understanding of AI Innovations (with Likoebe Maruping); The 2021 Conference on Information Systems and Technology (CIST 2021)
5. Toward a Better Understanding of AI Innovations (with Likoebe Maruping); The 2020 Workshop on Information Technologies and Systems (WITS 2020) – Best Paper Nominee
6. Restricting the Scope of Software Patent Protection: Beneficial Evidence of Alice (with Arun Rai); The 2020 INFORMS Conference on Information Systems and Technology (CIST 2020)
7. Open Source Collaboration in Digital Ventures (with Likoebe Maruping); The 2020 INFORMS Conference on Information Systems and Technology (CIST 2020)
8. Getting Behind Closed Doors: Developing Fan Engagement in Subscription-Based Crowdfunding (with Arun Rai and Yukun Yang); The 2019 Workshop on Information Systems and Economics (WISE 2019)
9. Getting Behind Closed Doors: Developing Fan Engagement in Subscription-Based Crowdfunding (with Arun Rai and Yukun Yang); The 2019 INFORMS Conference on Information Systems and Technology (CIST 2019)
10. A Prediction Model for Adverse Events in Hospitalized Patients (with Xiao Fang); The 2018 INFORMS Conference (INFORMS 2018)
11. First, Do No Harm: Predictive Analytics for Risks of In-Hospital Adverse Events (with Xiao Fang); The 2017 INFORMS Data Science Workshop (DS 2017)
12. Differentiating the Impacts of Adoption and Use on Organizational Performance: The Case of Electronic Health Records (with Mingfeng Lin and Hsinchun Chen); The 2017 Winter Conference on Business Analytics (WCBA 2017)
13. Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach (with Hsinchun Chen, Randall Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2017 Winter Conference on Business Analytics (WCBA 2017)
14. To Join or To Take Over: External Corporate Ventures and the Choice between Investment and Acquisition in the IT Industry (with Mingfeng Lin and Xinlin Tang); The 2016 Workshop on Information Systems Economics (WISE 2016)
15. Bayesian Multi-Task Learning for Risk Profiling in Chronic Care (with Hsinchun Chen, Randall Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2015 INFORMS Healthcare Conference
16. Beyond Adoption: Does Meaningful Use of EHR Improve Quality of Care? (with Mingfeng Lin and Hsinchun Chen); The 2014 Workshop on Information Systems Economics (WISE 2014)
17. Healthcare Analytics and Clinical Intelligence: A Risk Prediction Framework for Chronic Care (with Hsinchun Chen, Randall Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2014 Workshop on Information Technologies and Systems (WITS 2014) – Best Paper Nominee
18. Predictive Analytics for Chronic Care: A Time-to-Event Modeling Framework using Electronic Health Records (with Hsinchun Chen, Randall Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2014 INFORMS Conference on Information Systems and Technology (CIST 2014)
19. Beyond Adoption: Does Meaningful Use of EHR Improve Quality of Care? (with Mingfeng Lin and Hsinchun Chen); The 2014 INFORMS Conference on Information Systems and Technology (CIST 2014)
20. Beyond Adoption: Does Meaningful Use of EHR Improve Quality of Care? (with Mingfeng Lin and Hsinchun Chen); The 5th Annual Workshop on Health IT and Economics (WHITE 2014)
21. MedTime: A Temporal Information Extraction System for Clinical Narratives (with Randall A. Brown, and Hsinchun Chen); The 2012 i2b2 Workshop
22. Automatic Learning of A Supervised Classifier for Patent Prior Art Retrieval (with Hung-Chen Chen, Chih-Ping Wei, and Chin-Sheng Yang); The 2010 Pacific Asia Conference on Information Systems (PACIS 2010)
23. Exploiting Item Heterogeneity for Collaborative Filtering Recommendation (with Hung-Chen Chen, Chih-Ping Wei, and Ying-Siou Dai); The 4th China Summer Workshop on Information Management (CSWIM 2010)
24. Deriving Technology Roadmaps with Tech Mining Techniques (with Fu-Ren Lin, Chih-Ping Wei, and Yu-Liang Shyu); The 2008 Pacific Asia Conference on Information Systems (PACIS 2008)

Invited Presentations

• Front Range Machine Learning Alliance (FoRMLA) seminar series, November 2022: Toward a Better Understanding of AI Innovations
• Southern University of Science and Technology, Department of Information Systems and Management Engineering, November 2021: Patent Protection and Software Innovation: Evidence from Alice
• Auburn University, Department of Systems and Technology, November 2020: Patent Protection and Software Innovation: Evidence from Alice
• ETH Zurich, MIS seminar, December 2019: First, Do No Harm: Predictive Analytics to Reduce In-Hospital Adverse Events
• University of Georgia, Department of Management Information Systems, April 2019: Getting Behind Closed Doors: Developing Fan Engagement in Subscription-Based Crowdfunding
• Georgia State University, Department of Computer Information Systems, March 2017: Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach
• Florida State University, Department of Entrepreneurship, Strategy, and Information Systems, January 2015: Beyond Adoption: Does Meaningful Use of EHR Improve Quality of Care?
• Indiana University, Operations and Decision Technologies Department, December 2014: Beyond Adoption: Does Meaningful Use of EHR Improve Quality of Care?
• University of Cincinnati, Department of Operations, Business Analytics, and Information Systems, September 2014: Healthcare Analytics and Clinical Intelligence: A Risk Prediction Framework for Chronic Care

Service to the Profession

• Associate Editor (Journal)
  • MIS Quarterly (Guest AE), 2018, 2020
  • MIS Quarterly (Special issue AE: “Digital Resilience”), 2020
• Associate Editor (Conference)
  • International Conference on Information Systems, 2019-2021, 2023
  • Annual Meeting of the Academy of Management, 2022
  • Pacific Asia Conference on Information Systems, 2016, 2022
• Ad-hoc Reviewer (Journal)
  • MIS Quarterly (MISQ)
  • Information Systems Research (ISR)
  • Management Science
  • Journal of Management Information Systems (JMIS)
  • Journal of the Association for Information Systems (JAIS)
  • Production and Operations Management (POM)
  • ACM Transactions on Management Information Systems (TMIS)
  • INFORMS Journal on Data Science (IJDS)
  • INFORMS Journal on Computing (JOC)
  • ACM Transactions on Data Science
  • Decision Sciences
  • Decision Support Systems
  • Information & Management
  • Artificial Intelligence in Medicine
  • IEEE Intelligent Systems
  • Journal of the Association for Information Science and Technology (JASIST)
• Ad-hoc Reviewer (Conference)
  • ICIS: International Conference on Information Systems
  • CIST: Conference on Information Systems and Technology
  • WITS: Workshop on Information Technologies and Systems
  • INFORMS Conference on Data Science
  • International Conference for Smart Health
  • International Conference on Service Science and Innovation
  • ECIS: European Conference on Information Systems
  • AMCIS: The Americas Conference on Information Systems
  • PACIS: Pacific Asia Conference on Information Systems
  • AMIA: American Medical Informatics Association Annual Symposium
• Reviewer for Grant Proposals
  • Research Grants Council of Hong Kong
  • Maryland Industrial Partnerships Program

Service to the College (Robinson College of Business)

• Member, Analytics Pathway Task Force for MBA Course Redesign (2018)

Service to the Department (Computer Information Systems)

• Member, CIS Tenure Track Faculty Recruitment Committee–Cybersecurity (Fall 2022–present)
• Member, CIS Tenure Track Faculty Recruitment Committee–NextGen AI (Fall 2022–Spring 2023)
• Member, CIS Tenure Track Faculty Recruitment Committee (Fall 2021–Spring 2022)
• Faculty Adviser, Student Chapter of the Association of Information Technology Professionals (2018–present)

Doctoral Dissertation Committees

• Junyoung Park (Status: Completed in 2022)
• Yanran Liu (Status: Completed in 2021)
• Heeseung Lee (Status: Completed in 2021)
• Xinying Liu (Status: Completed in 2020)