Song Sang-Hwa
Papers
1
Total Citations
7
H-Index
1
About
Dr. Song Sang-Hwa is a leading researcher in logistics innovation, with a primary focus on the integration of automation and robotics within fulfillment centers. Her most cited work, "A Study on the Factors Affecting the Acceptance of Logistics Robot in the Fulfillment Center Using the Technology Acceptance Model" (2019, 7 citations), provides a foundational framework for understanding how workers and managers perceive and adopt robotic systems in high-pressure logistics environments. By applying the Technology Acceptance Model (TAM) to this specific operational context, Dr. Song identified critical psychological and organizational barriers—such as perceived ease of use and perceived usefulness—that determine successful robot implementation. This research has direct implications for warehouse design, workforce training, and change management strategies in e-commerce and supply chain sectors. Her work bridges the gap between technological capability and human readiness, offering practical insights for companies transitioning to automated fulfillment. Dr. Song’s contributions are particularly valuable as global logistics faces increasing demands for speed and accuracy, making her research a key reference for scholars and practitioners aiming to optimize human-robot collaboration in modern warehouses.
Research Focus
Key Achievements
Top Papers
- 1