Yu-Kai Lin
Department of Computer Information Systems
Center for Digital Innovation
Robinson College of Business, Georgia State University
Atlanta, Georgia 30303
Email: yklin@gsu.edu
Phone: +1 (404) 413-7360

Employment
2017– | Assistant Professor | Robinson College of Business, Georgia State University | Atlanta, GA |
2015-2017 | Assistant Professor | College of Business, Florida State University | Tallahassee, FL |
2010-2015 | Research Associate | Artificial Intelligence Lab, University of Arizona | Tucson, AZ |
Education
2010-2015 | Ph.D. in Business Administration Eller College of Management, University of Arizona (Tucson, AZ) - Major: Management Information Systems - Minor: Economics - Dissertation: Health Analytics and Predictive Modeling: Four Essays on Health Informatics |
2004-2006 | M.B.A. in Technology Management College of Technology Management, National Tsing Hua University (Hsinchu, Taiwan) |
2000-2004 | B.B.A. in Information Management College of Business, Chung Yuan Christian University (Taoyuan, Taiwan) |
Research
- Domains: Artificial Intelligence, Open Collaboration and Innovation, Intellectual Property, Health IT
- Methods: Econometric Modeling, Machine Learning, Unstructured Data Analytics
Journal Publications
- Yu-Kai Lin*, Arun Rai*, and Yukun Yang* (2022) “Information Control for Creator Brand Management in Subscription-Based Crowdfunding,” Information Systems Research (* equal authorship)
- Yu-Kai Lin and Likoebe Maruping (2022) “Open Source Collaboration in Digital Entrepreneurship,” Organization Science (33:1), pp. 212–230.
- 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.
- 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.
- 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.
- 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.
- 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.
Work in Progress and Working Papers
Conference Papers and Presentations
- Patent Protection and Software Innovation: Evidence from Alice (with Arun Rai); The 2021 Workshop on Information Systems Economics (WISE 2021)
- Toward a Better Understanding of AI Innovations (with Likoebe Maruping); The 2021 Conference on Information Systems and Technology (CIST 2021)
- Toward a Better Understanding of AI Innovations (with Likoebe Maruping); The 2020 Workshop on Information Technologies and Systems (WITS 2020) – Best Paper Nomination
- 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)
- Open Source Collaboration in Digital Ventures (with Likoebe Maruping); The 2020 INFORMS Conference on Information Systems and Technology (CIST 2020)
- 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)
- 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)
- A Prediction Model for Adverse Events in Hospitalized Patients (with Xiao Fang); The 2018 INFORMS Conference (INFORMS 2018)
- First, Do No Harm: Predictive Analytics for Risks of In-Hospital Adverse Events (with Xiao Fang); The 2017 INFORMS Data Science Workshop (DS 2017)
- 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)
- 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)
- 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)
- 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
- 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)
- 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 Nomination
- 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)
- 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)
- 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)
- MedTime: A Temporal Information Extraction System for Clinical Narratives (with Randall A. Brown, and Hsinchun Chen); The 2012 i2b2 Workshop
- 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)
- 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)
- 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
- 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
Awards, Honors, and Grants
- Best paper nomination, Workshop on Information Technology and Systems (WITS), 2020
- First Year Assistant Professor Award: Innovation and Entrepreneurship in Digital Health ($20,000), Florida State University, 2016
- Planning Grant: Understanding the Impacts of Information Technology and Business Analytics in Healthcare ($13,000; with Xinlin Tang), Florida State University, 2015
- The Wharton Customer Analytics Initiative (WCAI) Research Opportunity, 2015
- Best paper nomination, Workshop on Information Technology and Systems (WITS), 2014
- Selected participant, the Americas Conference on Information Systems (AMCIS) Doctoral Consortium, 2014
Professional Services
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
- 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
- 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, 2014-2020
- CIST: Conference on Information Systems and Technology, 2014-2016, 2020-2021
- WITS: Workshop on Information Technologies and Systems, 2014, 2016
- INFORMS Conference on Data Science, 2017
- International Conference for Smart Health, 2017, 2019
- International Conference on Service Science and Innovation, 2020
- ECIS: European Conference on Information Systems, 2016-2017, 2019
- AMCIS: The Americas Conference on Information Systems, 2015
- PACIS: Pacific Asia Conference on Information Systems, 2014, 2016
- AMIA: American Medical Informatics Association Annual Symposium, 2014
- Reviewer for Grant Proposals
- Research Grants Council of Hong Kong
- Maryland Industrial Partnerships Program
Service to the College (Georgia State University)
- CIS Tenure Track Faculty Recruitment Committee (Member, 2021–present)
- Student Chapter of the Association of Information Technology Professionals (Adviser, 2018–present)
- Analytics Pathway Task Force for MBA Course Redesign (Member, 2018)
Doctoral Dissertation Committees
- Junyoung Park (Status: Dissertation proposal)
- Yanran Liu (Status: Completed in 2021)
- Heeseung Lee (Status: Completed in 2021)
- Xinying Liu (Status: Completed in 2020)
Teaching Experience
Georgia State University
- CIS 8392: Topics in Big Data Analytics (Graduate)
- Spring 2019 - Spring 2022
- CIS 8045: Unstructured Data Management (Graduate)
- Fall 2021
- CIS 8040: Fundamentals of Database Management Systems (Graduate)
- Fall 2017
- CIS 4730: Unstructured Data Management (Undergraduate)
- Fall 2017 - Fall 2020
Florida State University
- ISM 4117: Business Intelligence (Undergraduate)
- Fall 2015 - Spring 2017
University of Arizona
- MIS 373: Basic Operations Management (Undergraduate)
- Summer 2014
Professional Memberships
- Association for Information Systems (AIS)
- AIS SIGDITE (Digital Innovation, Transformation, & Entrepreneurship)
- Institute for Operations Research and Management Sciences (INFORMS)
- INFORMS Information Systems Society
- Academy of Management (AOM)
- Organizational Communication & Information Systems
- Entrepreneurship
Computer Skills
- Programming Language: C, C++, JAVA, Python, R, SQL, Stan
- Databases: MySQL, Oracle, PostgreSQL, MongoDB, Neo4j
- Operating Systems: Windows, Linux