Academic Profile : Faculty

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Asst Prof Hyeokkoo Eric Kwon
Assistant Professor
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Dr. Hyeokkoo Eric Kwon (권혁구, 權赫九) is an Assistant Professor in the Department of Information Technology and Operations Management at Nanyang Business School (NBS), Nanyang Technological University (NTU), Singapore. Prior to joining NBS in 2018, he earned a Ph.D. in Management Engineering with a specialization in Information Systems, as well as a B.S. in Aerospace Engineering, both from the Korea Advanced Institute of Science and Technology (KAIST).

His research interests primarily encompass mobile analytics for FinTech, digital healthcare, customer targeting, and platforms and extend into broader domains such as artificial intelligence (AI) and digital innovation. He has been closely working with a number of leading companies across a broad spectrum of industries—ranging from mobile marketing and telecom to banking, consumer/market research, healthcare, retail, CRM, and F&B—for business analytics-related projects and consulting work.

Building upon these industry-academic partnerships, he has contributed research articles to premier journals, including Information Systems Research (ISR), Journal of Management Information Systems (JMIS), Journal of Operations Management (JOM), and Production and Operations Management (POM). His scholarly contributions have also been featured at prestigious academic conferences, including the International Conference on Information Systems (ICIS), Workshop on Information Systems and Economics (WISE), and Conference of Information Systems and Technology (CIST), where he undertakes various roles, such as track co-chair, associate editor, program committee member, and session chair.

In addition, he engages actively in the peer-review process, contributing his expertise to premier journals. Specifically, he is a member of the Editorial Review Board (ERB) for a special issue of Information Systems Research (ISR) and serves as an associate editor for the Asia Pacific Journal of Information Systems (APJIS). He is also an active reviewer for esteemed journals, including Information Systems Research (ISR), Management Information Systems Quarterly (MISQ), and Management Science (MS).

He has been honored with the INFORMS Information Systems Society (ISS) Gordon B. Davis Young Scholar Award 2023. He was also selected to attend the 7th Lindau Nobel Laureate Meeting on Economic Sciences as one of the 350 most qualified young economists worldwide. His academic achievements are further augmented by a series of honors and awards, including the Best Paper Award from the International Conference on Information Systems (ICIS) and the Academy of Management (AOM), as well as the Research Excellence and Teaching Excellence Awards from Nanyang Business School.
My research interests lie principally in identifying how new IS technologies affect consumers and firms and what the corresponding implications are for firms and governments. This topic is particularly important because corporate strategies and government policies that are implemented without a thorough understanding of complex and dynamically evolving technologies can significantly diminish business profit and social welfare. Specifically, my research has been heavily oriented toward the domain of mobile analytics for FinTech, digital healthcare, customer targeting, and platforms and also extended into broader domains such as artificial intelligence (AI) and digital innovation. I apply multiple quantitative methodologies, including econometric analyses, experiments, and hierarchical Bayesian models, with data collected from the firms with which I collaborate. I also employ analytical modeling approaches and agent-based simulation analyses to develop theoretical underpinnings for empirical validations or comprehend complex decision problems in a simplified structure.
 
  • Determinants and Consequences of Consumers' Adoption of Digital-Only Banks
  • Impact of Overnight Grocery Delivery Platforms on Gender Equality in Domestic Labor and Leisure Activity
  • The Business Impact of Incentive Scheme on Live Streaming Platforms
Awards
● INFORMS Information Systems Society (ISS) Gordon B. Davis Young Scholar Award, Conference of Information Systems and Technology (CIST) 2023
● INFORMS Information Systems Society (ISS) Clusters Best Paper Award Shortlisted, INFORMS Annual Meeting 2023
● Best Division Paper Award Runner Up, Division of Communication, Digital Technology, and Organization (CTO), Academy of Management (AOM) 2022
● 7th Lindau Nobel Laureate Meeting on Economic Sciences, Invited as one of the 350 most qualified young economists, 2022
● Koh Boon Hwee Scholars Award, Nanyang Technological University, 2022
● Teaching Excellence Award, Nanyang Business School, 2021
● Best Paper in Track Award, Track of IS in Healthcare, International Conference on Information Systems (ICIS) 2020
● Research Excellence Award, Nanyang Business School 2019
● Doctoral Consortium, International Conference on Information Systems (ICIS) 2017
 
Courses Taught
● (Undergrad) Analytics II: Advanced Predictive Techniques, Spring 2024, 2023, 2022
● (Undergrad) Analytics I: Visual and Predictive Techniques, Fall 2020, 2019
● (Ph.D.) Contemporary Issues in Information Systems, Spring 2022, 2021
● (Ph.D.) Seminar in Information Systems Research, Fall 2020
● (Ph.D.) IS Theories and Methods, Fall 2019
 
Supervision of PhD Students
● Dr. Nakyung Kyung (IS, KAIST, 2017 – 2021), Dissertation Committee, Referee, & Co-author
- First Placement: Assistant Professor, National University of Singapore (NUS), 2021
● Dr. Zhiyin Li (ITOM, NTU, 2018 – 2023), Dissertation Committee, & Referee
- First Placement: Assistant Professor, City University of Hong Kong, 2023
● Ruoding Wang (Marketing, NTU, 2018 – Present), Dissertation Committee
● Sihan Fang (ITOM, NTU, 2019 – Present), Supervisor, Referee, & Co-author
● Xiaoni Lu (ITOM, Xi’an Jiaotong University, 2020 – Present), Co-supervisor, & Co-author
● Li Yang (ITOM, NTU, 2020 – Present), Dissertation Committee
● WanGyu Heo (IS, KAIST, 2020 – Present), Co-author
● Euro Bae (IS, KAIST, 2020 – Present), Co-author
● Jihye Kim (IS, KAIST, 2021 – Present), Co-author
● Jeongha Kim (IS, Korea University, 2021 – Present), Co-author
● Zhichao Hu (ITOM, NTU, 2022 – Present), Co-Supervisor
● Kayoung Shin (ITOM, NTU, 2023 – Present), Supervisor, & Co-author