Sabinne Lee
Biographic Data
| ID | 4148198 |
|---|---|
| NAME | Sabinne Lee |
| GIVEN NAMES | Sabinne |
| FAMILY NAME | Lee |
| SIGNATURE | LEE S |
| AFFILIATIONS | The Korea Institute of Public Administration |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 33 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Prospects and Challenges of Future AI-Enabled Government
As artificial intelligence (AI) becomes increasingly embedded in public sector operations, understanding stakeholder perceptions is critical to guiding responsible and effective AI governance. Building on Moon and Welch (2005) comparative framework and adopting the Construal Level Theory, this study examines how citizens and public servants perceive AI impacts on government structure, functions, administrative value, and policy decision-making ba…
Managing policy risks using big data analytics in the pandemic era
Managing policy risks using big data analytics in the pandemic era
This study aims to introduce the potential of volatility, uncertainty, complexity, and ambiguity (VUCA) as a framework to explain the characteristics of current wicked policy risks. We also analyse how big data informatics help us to overcome volatile, uncertain, complex, and ambiguous wicked policy risks in the context of the COVID-19 pandemic. Specifically, presenting a VUCA framework, this study illustrates how policy risks disturb policy resu…
Policy education in South Korea and Japan
Examining the evolution of public administration and policy education in South Korea and Japan, this study analyzes how such education in the two countries has developed in response to social needs as well as socioeconomic and political changes. In both South Korea and Japan, public administration and policy education originated as a type of law education, but policy education in Korea has developed as a subdiscipline of social science that focus…
Policy learning and crisis policy-making
This study aims to analyze how the Korean government has been effective in taming COVID-19 without forced interruptions (i.e. lockdowns) of citizens' daily lives. Extending the theory of organizational learning, we propose the quadruple-loop learning model, through which we examine how a government can find solutions to a wicked policy problem like COVID-19. The quadruple-loop learning model is applied to explain how the Korean government could e…
Gender Conflict Perception and Social Identities
Policy learning and crisis policy-making
This study aims to analyze how the Korean government has been effective in taming COVID-19 without forced interruptions (i.e. lockdowns) of citizens' daily lives. Extending the theory of organizational learning, we propose the quadruple-loop learning model, through which we examine how a government can find solutions to a wicked policy problem like COVID-19. The quadruple-loop learning model is applied to explain how the Korean government could e…
Policy education in South Korea and Japan
Examining the evolution of public administration and policy education in South Korea and Japan, this study analyzes how such education in the two countries has developed in response to social needs as well as socioeconomic and political changes. In both South Korea and Japan, public administration and policy education originated as a type of law education, but policy education in Korea has developed as a subdiscipline of social science that focus…
Gender Conflict Perception and Social Identities
Policy learning and crisis policy-making
This study aims to analyze how the Korean government has been effective in taming COVID-19 without forced interruptions (i.e. lockdowns) of citizens' daily lives. Extending the theory of organizational learning, we propose the quadruple-loop learning model, through which we examine how a government can find solutions to a wicked policy problem like COVID-19. The quadruple-loop learning model is applied to explain how the Korean government could e…
Managing policy risks using big data analytics in the pandemic era
Managing policy risks using big data analytics in the pandemic era
This study aims to introduce the potential of volatility, uncertainty, complexity, and ambiguity (VUCA) as a framework to explain the characteristics of current wicked policy risks. We also analyse how big data informatics help us to overcome volatile, uncertain, complex, and ambiguous wicked policy risks in the context of the COVID-19 pandemic. Specifically, presenting a VUCA framework, this study illustrates how policy risks disturb policy resu…
Policy education in South Korea and Japan
Examining the evolution of public administration and policy education in South Korea and Japan, this study analyzes how such education in the two countries has developed in response to social needs as well as socioeconomic and political changes. In both South Korea and Japan, public administration and policy education originated as a type of law education, but policy education in Korea has developed as a subdiscipline of social science that focus…
Prospects and Challenges of Future AI-Enabled Government
As artificial intelligence (AI) becomes increasingly embedded in public sector operations, understanding stakeholder perceptions is critical to guiding responsible and effective AI governance. Building on Moon and Welch (2005) comparative framework and adopting the Construal Level Theory, this study examines how citizens and public servants perceive AI impacts on government structure, functions, administrative value, and policy decision-making ba…
Computer Science (3 works) · Economics (3 works) · Political science (3 works) · Analytics (2 works) · Big data (2 works) · Big Data and Business Intelligence (2 works) · Business (2 works) · Context (archaeology (2 works) · Data science (2 works) · Geography (2 works)