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) 413-7860

Photo of Yu-Kai Lin

Google Scholar | ORCID | Download CV (last updated: September 25, 2026)

NoteShort Bio

Yu-Kai Lin is an Associate Professor of Computer Information Systems at the J. Mack Robinson College of Business, Georgia State University. His research examines how artificial intelligence, open collaboration, intellectual property, and regulation shape innovation, using applied econometrics, machine learning, and unstructured data analytics. His work appears in MIS Quarterly, Information Systems Research, Organization Science, and the Journal of Management Information Systems. He is an AIS Distinguished Member and a recipient of the 2022 AIS Early Career Award. He currently serves on the Editorial Review Board of Information Systems Research.

Employment

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

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

  • AIS Distinguished Member, 2026
  • Google Cloud Research Credits Award ($5,000), 2024
  • Elegant Scholarship Award, 2023
  • 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 in Information Systems (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 Technologies 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 Technologies and Systems (WITS), 2014

Research

  • Domains: Artificial Intelligence, Open Collaboration, Innovation, Intellectual Property, Healthcare
  • Methods: Applied Econometrics, Machine Learning, Unstructured Data Analytics

Journal Publications

  1. Yu-Kai Lin and Likoebe Maruping (2025) “Organizing for AI Innovation: Insights from an Empirical Exploration of U.S. Patents,” MIS Quarterly (49:3), pp. 1095–1122.

  2. 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), pp. 657–672.

  3. John Sudeep Teli*, Arun Rai*, and Yu-Kai Lin* (2024) “Abnormal Returns to AI Patent Infringement Litigations,” Journal of Management Information Systems (41:2), pp. 422–452. (* equal authorship)

  4. 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)

  5. Yu-Kai Lin and Likoebe Maruping (2022) “Open Source Collaboration in Digital Entrepreneurship,” Organization Science (33:1), pp. 212–230.

  6. 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.

  7. 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.

  8. Yu-Kai Lin, Hsinchun Chen, Randall A. 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.

  9. 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.

  10. 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 and Work-in-Progress

  1. Opting Out of Generative AI? Training Data, Search Visibility, and the Traffic Rankings of News Publishers (revise and resubmit)

  2. Organizing IT Professionals for Digital Innovation: Individual-Integrated vs. Workforce-Distributed Skill Ambidexterity (with Jeongmin Kim and Arun Rai; under review)

  3. Open Source Software Supply Chains as Sociotechnical Systems and Their Impacts on Open Source Project Work (with Matt Germonprez, Christian Haas, Jaydeb Sarker, Sean Goggins, and Yiqi Li; working paper)

  4. On the Measurement of AI Skills: Methods and Implications (with Jeongmin Kim and Arun Rai; working paper)

  5. Security Knowledge Spillovers among Open Source Software Projects (with Weifeng Li; working paper)

  6. How Regulatory Environments Shape Digital Innovation: The Roles of Regulatory Temporality and Valence (with Changhee Han and Arun Rai; work in progress)

Conference Papers and Presentations

  1. How Regulatory Environments Shape Digital Innovation: The Roles of Regulatory Temporality and Valence (with Changhee Han); The 2026 Conference on Information Systems and Technology (CIST 2026); October 31–November 1, 2026

  2. Does Regulation Promote or Suppress Digital Innovation? The Moderating Role of Environmental Uncertainty (with Changhee Han); The 2025 Workshop on Information Technologies and Systems (WITS 2025); December 17–19, 2025

  3. AI and Copyright: Estimating the Market Effect of Large Language Models on News Media; The 2025 Conference on Information Systems and Technology (CIST 2025); October 25–26, 2025

  4. Does Regulation Promote or Suppress Digital Innovation? The Moderating Role of Environmental Dynamism (with Changhee Han); The 2025 Conference on Information Systems and Technology (CIST 2025); October 25–26, 2025

  5. Operationalizing Open Source Supply Chains as Complex Sociotechnical Systems (with Matt Germonprez, Sean Goggins, and Yiqi Li); The 2024 OpenForum Academy Symposium; November 13–14, 2024

  6. AI Labor Markets: Toward a Dynamic Skills-Based Approach to Measurement (with Jeongmin Kim and Arun Rai); The 2023 International Conference on Information Systems (ICIS 2023); December 10–13, 2023 – Best Paper Nominee

  7. Democratizing AI Innovation with Open Data: Evidence from ImageNet (with Jing Tian and Arun Rai); The 2023 Conference on Information Systems and Technology (CIST 2023); October 14–15, 2023

  8. A Theory of Open Source Security: The Spillover of Security Knowledge in Vulnerability Disclosures through Software Supply Chains (with Weifeng Li); The 2023 Conference on Information Systems and Technology (CIST 2023); October 14–15, 2023

  9. 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); July 5–8, 2023

  10. 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); December 10, 2022 – Runner-up Award for Best Completed Research Paper

  11. Patent Protection and Software Innovation: Evidence from Alice (with Arun Rai); The 2021 Workshop on Information Systems and Economics (WISE 2021); December 16–17, 2021

  12. Toward a Better Understanding of AI Innovations (with Likoebe Maruping); The 2021 Conference on Information Systems and Technology (CIST 2021); October 23–24, 2021

  13. Toward a Better Understanding of AI Innovations (with Likoebe Maruping); The 2020 Workshop on Information Technologies and Systems (WITS 2020); December 16–18, 2020 – Best Paper Nominee

  14. 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); November 7–8, 2020

  15. Open Source Collaboration in Digital Ventures (with Likoebe Maruping); The 2020 INFORMS Conference on Information Systems and Technology (CIST 2020); November 7–8, 2020

  16. 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); December 19–20, 2019

  17. 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); October 19–20, 2019

  18. A Prediction Model for Adverse Events in Hospitalized Patients (with Xiao Fang); The 2018 INFORMS Annual Meeting (INFORMS 2018); November 4–7, 2018

  19. First, Do No Harm: Predictive Analytics for Risks of In-Hospital Adverse Events (with Xiao Fang); The 2017 INFORMS Data Science Workshop (DS 2017); October 21, 2017

  20. 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); March 2–4, 2017

  21. Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach (with Hsinchun Chen, Randall A. Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2017 Winter Conference on Business Analytics (WCBA 2017); March 2–4, 2017

  22. 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 and Economics (WISE 2016); December 15–16, 2016

  23. Bayesian Multi-Task Learning for Risk Profiling in Chronic Care (with Hsinchun Chen, Randall A. Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2015 INFORMS Healthcare Conference; July 29–31, 2015

  24. Beyond Adoption: Does Meaningful Use of EHR Improve Quality of Care? (with Mingfeng Lin and Hsinchun Chen); The 2014 Workshop on Information Systems and Economics (WISE 2014); December 17–19, 2014

  25. Healthcare Analytics and Clinical Intelligence: A Risk Prediction Framework for Chronic Care (with Hsinchun Chen, Randall A. Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2014 Workshop on Information Technologies and Systems (WITS 2014); December 17–19, 2014 – Best Paper Nominee

  26. Predictive Analytics for Chronic Care: A Time-to-Event Modeling Framework using Electronic Health Records (with Hsinchun Chen, Randall A. Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2014 INFORMS Conference on Information Systems and Technology (CIST 2014); November 8–9, 2014

  27. 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); November 8–9, 2014

  28. 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); October 10–11, 2014

  29. MedTime: A Temporal Information Extraction System for Clinical Narratives (with Randall A. Brown and Hsinchun Chen); The 2012 i2b2 Workshop; November 2, 2012

  30. 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); July 9–12, 2010

  31. 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); June 19–20, 2010

  32. 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); July 4–7, 2008

Invited Presentations

  • University of Cincinnati, Department of Operations, Business Analytics, and Information Systems, October 2026 (scheduled)

  • University of Tennessee at Chattanooga, Finley Chair Webinar, October 2025: Organizing for AI Innovation: Insights from an Empirical Exploration of U.S. Patents

  • University of Georgia, Department of Management Information Systems, October 2024: Organizing for AI Innovations: Insights from an Empirical Exploration of U.S. Patents

  • 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 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, 2026
  • 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)
    • Journal of Strategic Information Systems (JSIS)
    • 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 & Organization
    • Technological Forecasting & Social Change
    • Journal of the Association for Information Science and Technology
  • Conferences and Workshops
    • ICIS: International Conference on Information Systems
    • CIST: Conference on Information Systems and Technology
    • WITS: Workshop on Information Technologies and Systems
    • HICSS: Hawaii International Conference on System Sciences
    • ECIS: European Conference on Information Systems
    • AMCIS: Americas Conference on Information Systems
    • PACIS: Pacific Asia Conference on Information Systems
    • AMIA: American Medical Informatics Association Annual Symposium
    • INFORMS Conference on Data Science
    • INFORMS Summer Workshop on AI for Business
    • International Conference for Smart Health
    • International Conference on Service Science and Innovation

Grants / Program Reviews

  • Research Grants Council of Hong Kong
  • Maryland Industrial Partnerships Program

Conference Organizing Committee

  • Atlanta-Athens Conference on Research in Information Systems (2026)

Service to the College & Department

  • Member, CIS Graduate Program Committee (Fall 2026–present)
  • 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 Advising

Dissertation Chair / Co-chair

  • Jeongmin Kim (current status: proposal defended; co-chair with Arun Rai)
  • John Sudeep Teli (completed in 2026; placement: Texas State University; co-chair with Arun Rai)

Dissertation Committee Member

  • An Nguyen (completed in 2026; placement: University of Texas at El Paso)
  • Yingxin Zhou (completed in 2026; placement: University of Arkansas at Little Rock)
  • Yang Yi (completed in 2025; placement: Ohio University)
  • 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; new doctoral seminar: text-as-data in empirical research)
    • Spring 2025
  • CIS 8398: Advanced AI Topics in Business (Graduate; new course)
    • Fall 2022–Spring 2026
  • CIS 8045: Unstructured Data Management (Graduate)
    • Fall 2021–Fall 2022
  • CIS 8392: Advanced 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–Fall 2026

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)
  • Institute for Operations Research and the Management Sciences (INFORMS)
    • INFORMS Information Systems Society (ISS)
  • Academy of Management (AOM)
    • Communication, Digital Technology, and Organization (CTO)
    • Technology and Innovation Management (TIM)

Computer Skills

  • Programming Languages: C, C++, Java, Python, R, SQL, Stan
  • Databases: MySQL, PostgreSQL, MongoDB, Neo4j, DuckDB, ClickHouse, Google BigQuery
  • Operating Systems: Windows, Linux
Back to top