COM3-02-41
651 66270
Nakyung KYUNG
Assistant Professor- B.A (Business Administration, Hanyang University)
- M.Sc (Management Engineering, Korea Advanced Institute of Science and Technology)
- Ph.D (Management Engineering, Korea Advanced Institute of Science and Technology)
Nakyung obtained her PhD in Management Engineering from the Korea Advanced Institute of Science and Technology (KAIST). Her research is grounded on the intermediate integration of Information systems (IS), economics, and healthcare. Her research streams include health behaviour change, healthcare analytics, and mobile business analytics. She is also interested in the societal effects of IT. Specifically, ethical issues related to IT and the side effects of IT are key research interests. Within these domains, she has employed quantitative methodologies, including big data analytics using actual behavioural data, econometrics, and field experiments.
RESEARCH INTERESTS
AI/ML-based Nudge Design
Mobile Health
Economics of IT
Social Impact of IT
RESEARCH PROJECTS
Mandated vs Autonomous AI Use: An Empirical Examination on Worker's Labor Outcomes and Social Welfare
Amid AI reshaping employee interactions, our project examines mandated vs. autonomous AI impacts on worker empowerment, labor outcomes, and firm/societal welfare. Focused on food delivery platforms, using randomized field experiment data, we aim to compare worker performance, assess efficacy for diverse groups, measure effects on platforms and society, and propose ethical AI design principles.
The Effect of Health IT on Behavior Change and Its Business Value
Mobile apps for physical activity fade post-removal, proving ineffective for at-risk groups. This project targets global sedentary lifestyles with personalized strategies, using mobile tech and self-tracking for enduring health interventions. It aims to grasp the impact of targeted mobile interventions, particularly for extended behavior change in at-risk populations.
RESEARCH GROUPS
TEACHING INNOVATIONS
SELECTED PUBLICATIONS
- Kyung, N., & Kwon, H. E. (2022). Rationally trust, but emotionally? The roles of cognitive and affective trust in laypeople's acceptance of AI for preventive care operations. Production and Operations Management.
- Kyung, N., Chan, J., Lim, S., & Lee, B. (2023). Contextual Targeting in mHealth Apps: Harnessing Weather Information and Message Framing to Increase Physical Activity. Information Systems Research.
AWARDS & HONOURS
Best Student Paper, Conference on Health IT and Analytics (CHITA), Washington, USA, 2019
Doctoral Consortium, International Conference on Information Systems (ICIS), Virtual, 2020
Best Paper in Healthcare Track, International Conference on Information Systems (ICIS), Virtual, 2021
Health IT in Action, Conference on Health IT and Analytics (CHITA), Washington, USA, 2023
MODULES TAUGHT
BT2101
Econometrics Modeling for Business Analytics
IS2238
Economics of IT and AI