Soyean Kim
Biographic Data
| ID | 9590955 |
|---|---|
| NAME | Soyean Kim |
| GIVEN NAMES | Soyean |
| FAMILY NAME | Kim |
| SIGNATURE | KIM S |
| AFFILIATIONS | Kyung Hee University |
| ORCID | 0009-0004-9710-9121 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Human-AI interaction
This research seeks to determine whether IT leaders are willing to leverage Artificial Intelligence (AI) recommendations to augment their decision-making when considering which IT projects to select based on the projects’ contribution towards organizational goals and objectives and the IT leaders’ level of knowledge and trust in AI. The research design utilized a quantitative survey of 113 IT leaders to understand their willingness to accept AI r…
Unveiling influence
Investigating the role of leader-member exchange for goal commitment in system implementation
Purpose Although Leader-Member Exchange (LMX) has been studied within the domain of organizational psychology, it has not received major attention from information systems literature and researchers. Drawing on LMX theory and the theory of reasoned interaction, this study investigates the roles of LMX, individual member's attitude toward system adoption, supervisor influence and goal commitment on mandatory system implementation. Specifically, ou…
No prominent works on this page.
Investigating the role of leader-member exchange for goal commitment in system implementation
Purpose Although Leader-Member Exchange (LMX) has been studied within the domain of organizational psychology, it has not received major attention from information systems literature and researchers. Drawing on LMX theory and the theory of reasoned interaction, this study investigates the roles of LMX, individual member's attitude toward system adoption, supervisor influence and goal commitment on mandatory system implementation. Specifically, ou…
Unveiling influence
Human-AI interaction
This research seeks to determine whether IT leaders are willing to leverage Artificial Intelligence (AI) recommendations to augment their decision-making when considering which IT projects to select based on the projects’ contribution towards organizational goals and objectives and the IT leaders’ level of knowledge and trust in AI. The research design utilized a quantitative survey of 113 IT leaders to understand their willingness to accept AI r…
Computer Science (2 works) · Knowledge management (2 works) · Psychology (2 works) · Social Psychology (2 works) · Artificial Intelligence (1 work) · Big Data and Business Intelligence (1 work) · Business (1 work) · Communication in Education and Healthcare (1 work) · Digital Marketing and Social Media (1 work) · Economic and Technological Systems Analysis (1 work)