2024– | Associate Professor (with tenure) | Robinson College of Business, Georgia State University | Atlanta, GA |
2017–2024 | 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 |
Yu-Kai Lin
Department of Computer Information Systems
Center for Digital Innovation
Robinson College of Business, Georgia State University
Atlanta, Georgia 30303
Email: [email protected]
Phone: +1 (404) 413-7360
Google Scholar | ORCID | Download CV (last updated: January 07, 2025)
Employment
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) |
Honors, Awards, and Grants
- Google Cloud Research Credits Award ($5,000), 2024
- Elegant Scholarship Award, 2023
- From the podcast “this IS research” by Dr. Nick Berente and Dr. Jan Recker for our paper “The Scope of Software Patent Protection in the Digital Age: Evidence from Alice” (listen to the episode)
- Best Paper Nominee, International Conference on Information Systems (ICIS), 2023
- Top Professor Award, 2023
- Voted by students enrolled in the Big Data Analytics concentration of the Master of Science Information System (MSIS) program at Georgia State University for teaching effectiveness
- Research Initiation Grant, Georgia State University ($20,000), 2023
- Competitive internal university-wide grant
- AIS Early Career Award, Association for Information Systems, 2022
- Runner-up Award for Best Completed Research Paper, Workshop on e-Business (WeB), 2022
- Best Associate Editor, Pacific Asia Conference on Information Systems (PACIS), 2022
- Best Paper Nominee, Workshop on Information Technology and Systems (WITS), 2020
- First Year Assistant Professor Award, Florida State University ($20,000), 2016
- Planning Grant, Florida State University ($13,000; with Xinlin Tang), 2015
- Competitive internal university-wide grant
- Wharton Customer Analytics Initiative, research proposal competition winner, 2015
- Best Paper Nominee, Workshop on Information Technology and Systems (WITS), 2014
Research
- Domains: Artificial Intelligence, Open Collaboration and Innovation, Intellectual Property, Healthcare
- Methods: Applied Econometrics, Machine Learning, Unstructured Data Analytics
Journal Publications
Yu-Kai Lin and Likoebe Maruping (2025) “Organizing for AI Innovation: Insights from an Empirical Exploration of U.S. Patents,” MIS Quarterly (Forthcoming).
Yu-Kai Lin and Arun Rai (2024) “The Scope of Software Patent Protection in the Digital Age: Evidence from Alice,” Information Systems Research, 35(2), 657–672.
John Sudeep Teli*, Arun Rai*, and Yu-Kai Lin* (2024) “Abnormal Returns to AI Patent Infringement Litigations,” Journal of Management Information Systems, 41(2), 422–452 (* equal authorship)
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)
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.
Working Papers
On the Measurement of AI Skills: Methods and Implications (with Jeongmin Kim and Arun Rai)
Security Knowledge Spillovers among Open Source Software Projects (with Weifeng Li)
Open Source Software Supply Chains as Sociotechnical Systems (with Matt Germonprez, Yiqi Li, and Sean Goggins)
Conference Papers and Presentations
Invited Presentations
Service Activities
Service to the Profession
Editorial Services
- Editorial Review Board, Information Systems Research (2024 – Present)
- Associate Editor, Decision Support Systems (2024 – Present)
- Associate Editor, MIS Quarterly Special Issue on “Digital Resilience”, 2020
- Guest Associate Editor, MIS Quarterly, 2018-2020
- Associate Editor, International Conference on Information Systems, 2019-2021, 2023-2024
- Associate Editor, Annual Meeting of the Academy of Management, 2022
- Associate Editor, Pacific Asia Conference on Information Systems, 2016, 2022, 2024
Peer Reviews
- Journals
- 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
- Journal of Information Technology
- Artificial Intelligence in Medicine
- IEEE Intelligent Systems
- Journal of Economic Behavior and Organization
- Journal of the Association for Information Science and Technology (JASIST)
- Conferences and Workshops
- 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
Grants / Program Reviews
- Research Grants Council of Hong Kong
- Maryland Industrial Partnerships Program
Service to the College & Department
- Member, CIS PhD Program Committee (Spring 2024–present)
- Member, CIS Tenure Track Faculty Recruitment Committee (Spring 2024)
- Member, CIS Computing Infrastructure Committee (2023)
- Member, CIS Tenure Track Faculty Recruitment Committee–Cybersecurity (Fall 2022–Spring 2023)
- 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)
- Member, Analytics Pathway Task Force for MBA Course Redesign (2018)
Doctoral Dissertation Committees
- An Nguyen (current status: proposal development)
- Sudeep Teli (current status: proposal development)
- Yingxin Zhou (current status: proposal defended)
- Yang Yi (current status: proposal defended)
- Wei Zhang (current status: proposal defended)
- Junyoung Park (completed in 2022; placement: Auburn University)
- Yanran Liu (completed in 2021; placement: University of Cincinnati)
- Heeseung Lee (completed in 2021; placement: Hong Kong Baptist University)
- Xinying Liu (completed in 2020; placement: University of Houston-Clear Lake)
Teaching Experience
Georgia State University
- CIS 9200: Topics in Computer Information Systems (PhD)
- Spring 2025 (topics: text as data in empirical research)
- CIS 8398: Advanced AI Topics in Business (Graduate)
- Fall 2022 - Fall 2024
- CIS 8045: Unstructured Data Management (Graduate)
- Fall 2021 - Fall 2022
- CIS 8392: Topics in Big Data Analytics (Graduate)
- Spring 2019 - Spring 2022
- CIS 8040: Fundamentals of Database Management Systems (Graduate)
- Fall 2017
- CIS 4730: Unstructured Data Management (Undergraduate)
- Fall 2017 - Fall 2020
- CIS 3730: Database Management Systems (Undergraduate)
- Spring 2024
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, and Entrepreneurship)
- AIS SIGDITE (Digital Innovation, Transformation, and Entrepreneurship)
- Institute for Operations Research and Management Sciences (INFORMS)
- INFORMS Information Systems Society (ISS)
- INFORMS Information Systems Society (ISS)
- Academy of Management (AOM)
- Communication, Digital Technology, and Organization (CTO)
- Technology and Innovation Management (TIM)
Computer Skills
- Programming Language: C, C++, JAVA, Python, R, SQL, Stan
- Databases: MySQL, Oracle, PostgreSQL, MongoDB, Neo4j
- Operating Systems: Windows, Linux