Yu-Kai Lin

Department of Computer Information Systems
Center for Digital Innovation
Robinson College of Business, Georgia State University

Atlanta, Georgia 30303

Email:
Phone: +1 (404) 413-7360

Yu-Kai Lin

 


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: Digital Innovation, Entrepreneurship, Open Source Projects, Intellectual Property, Health IT
  • Methods: Econometric Modeling, Machine Learning, Unstructured Data Analytics

Journal Publications

Published and Accepted Articles

  1. Yu-Kai Lin and Xiao Fang (2021) “First, Do No Harm: Predictive Analytics to Reduce In-Hospital Adverse Events,” Journal of Management Information Systems (Accepted)
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Conditionally Accepted Articles

  1. Open Source Collaboration in Digital Entrepreneurship (with Likoebe Maruping; conditional acceptance at Organization Science) [SSRN]
  2. Information Control for Creator Brand Management in Subscription-Based Crowdfunding (with Arun Rai and Yukun Yang; conditional acceptance at Information Systems Research) [SSRN]

Work in Progress and Working Papers

  1. Patent Protection and Software Innovation: Evidence from Alice (with Arun Rai; under review at Information Systems Research) [SSRN]
  2. Toward a Better Understanding of AI Innovations: Evidence from U.S. Patents (with Likoebe Maruping) [SSRN]

Conference Papers and Presentations

  1. Toward a Better Understanding of AI Innovations (with Likoebe Maruping); The 2020 Workshop on Information Technologies and Systems (WITS 2020)Best Paper Nomination
  2. 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)
  3. Open Source Collaboration in Digital Ventures (with Likoebe Maruping); The 2020 INFORMS Conference on Information Systems and Technology (CIST 2020)
  4. 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)
  5. 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)
  6. A Prediction Model for Adverse Events in Hospitalized Patients (with Xiao Fang); The 2018 INFORMS Conference (INFORMS 2018)
  7. First, Do No Harm: Predictive Analytics for Risks of In-Hospital Adverse Events (with Xiao Fang); The 2017 INFORMS Data Science Workshop (DS 2017)
  8. 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)
  9. 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)
  10. 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)
  11. 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
  12. 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)
  13. 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
  14. 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)
  15. 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)
  16. 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)
  17. MedTime: A Temporal Information Extraction System for Clinical Narratives (with Randall A. Brown, and Hsinchun Chen); The 2012 i2b2 Workshop
  18. 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)
  19. 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)
  20. 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)

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

Professional Service Activities

  • Associate Editor
    • MIS Quarterly (Guest AE), 2018, 2020
    • MIS Quarterly (Special issue AE: “Digital Resilience”), 2020
    • International Conference on Information Systems, 2019-2021
    • Pacific Asia Conference on Information Systems, 2016
  • 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)
    • ACM Transactions on Data Science
    • Journal of the Association for Information Science and Technology (JASIST)
    • Decision Sciences
    • Information & Management
    • Artificial Intelligence in Medicine
    • IEEE Intelligent Systems
  • Ad-hoc Reviewer (Conference)
    • ICIS: International Conference on Information Systems, 2014-2020
    • CIST: Conference on Information Systems and Technology, 2014-2016, 2020
    • 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
    • The Research Grants Council of Hong Kong
    • The Maryland Industrial Partnerships (MIPS) Program

Service Activities Internal to the University

  • Member, Analytics Pathway Task Force for MBA Course Redesign (2018)
  • Faculty Advisor, GSU Student Chapter of the Association of Information Technology Professionals (April 2018–Present)

Teaching Experience

Georgia State University

  • CIS 8392: Topics in Big Data Analytics (Graduate)
    • Spring 2019 - Fall 2021
  • 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
  • Operating Systems: Windows, Linux