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: yklin@gsu.edu
Phone: +1 (404) 413-7360
Google Scholar | ORCID | Download CV (last updated: July 11, 2024)
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 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
AI Labor Markets: Toward a Dynamic Skills-Based Approach to Measurement (with Jeongmin Kim and Arun Rai)
Security Knowledge Spillovers among Open Source Software Projects (with Weifeng Li)
Organizing for AI Innovations: Insights from an Empirical Exploration of U.S. Patents (with Likoebe Maruping)
Conference Papers and Presentations
Invited Presentations
Service Activities
Service to the Profession
Editorial Services
- Editorial Review Board, Information Systems Research (Jan 2024 – Present)
- Associate Editor, Decision Support Systems (Jan 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
- 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 8398: Advanced AI Topics in Business (Graduate)
- Fall 2022 - Spring 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