In 2024, Dr. Gawon Yun, assistant professor of supply chain, logistics and operations management in the marketing department at Missouri State University, published four co-authored peer-reviewed journal articles covering topics in marketing, transportation, technology and sustainability.
“My research is motivated by current issues in logistics and supply chain fields and changes in the business environment, such as sustainability and technological advancements,” Yun said.
Military pilots’ fuel-saving intentions
This article titled “Understanding military pilots’ fuel-saving intentions for supporting logistics missions” was published in the Journal of Air Transport Management. It examines factors influencing military pilots’ intentions to save fuel during missions using the Theory of Planned Behavior.
“Understanding behavioral aspects of operators can be critical in reducing environmental impact,” Yun said.
By surveying 108 pilots from the U.S. and Korean Air Forces, the study found societal pressures have a stronger influence than personal attitudes due to strict regulations and the rigid military culture. The insights reveal how social norms shape behavior in controlled industries like aviation.
This study offers practical applications for aviation policymakers and airline companies looking to enhance sustainable practices.
Digital twinning for resilient global supply chains
Digital twinning technology enables the creation of a digital copy of a real-world object or system. In the supply chain, it allows companies to monitor, analyze and improve their performance in real time by offering early alerts and interventions.
Yun’s paper titled “Digital twinning for resilient global supply chains: three case studies” looked at three companies in different industries using this transformative technology to optimize their supply chain performance. This paper was published in Markets, Globalization, and Development Review.
“The case studies explore the challenges companies face when using digital twinning in different industries,” Yun said.
Based on research findings, the pros of using this technology are it enhances supply chain resilience, improves performance and enables better decision-making. However, the downside is its cost and time-intensive setup.
Delivery riders’ safety and delivery efficiency in ODFD
Yun’s paper titled “Delivery riders’ safety and delivery efficiency in on-demand food delivery industry: The moderating role of monitoring algorithms” examines how on-demand food delivery (ODFD) riders’ safety and delivery efficiency are influenced by their well-being.
Published in the Research in Transportation Business and Management journal, the study applies the conservation of resources theory and structural equation modeling. It finds that stress mediates the relationship among well-being, risky driving behaviors and delivery efficiency.
The study also explores how different monitoring algorithms affect these factors. While interactional monitoring strengthens the effect of stress on risky driving behaviors and delivery efficiency, observational monitoring has the opposite effect.
“From a social sustainability standpoint, this paper addresses challenges associated with the complex nature of managing transportation businesses, particularly in the rapidly growing ODFD sector,” Yun said. “For example, safety, well-being and performance of gig workers and how technological capabilities on gig platforms can help improve them.”
AI and student learning
With the growing integration of artificial intelligence (AI) in education, this article titled “Empowering student learning through artificial intelligence: a bibliometric analysis” examines the growing body of research on AI and student learning. It appeared in the Journal of Educational Computing Research.
The bibliometric approach in this study involves analyzing 663 scholarly articles published between 1961 and 2024 to identify research trends in AI and student learning. There were four key findings:
- AI in education enhances teaching through adaptive learning, tutoring and AI-driven assessments.
- AI-driven learning supports virtual classrooms, personalization and interactive experiences.
- AI enablers cover key technologies like machine learning and data analytics.
- AI’s impact on cognition, engagement and ethics.
“This study emphasizes the need to address how AI-based learning models can adapt to diverse student learning needs and integrate student perspectives on learning outcomes,” Yun said.
By highlighting current limitations and opportunities in AI-driven education, this research provides valuable guidance for educators looking to integrate technology into their instructional methods.
Ongoing research
This year, Yun will continue her research endeavors.
“I’m looking to work further on issues related to sustainability in the operations and supply chain context,” Yun said. “Specifically, I’ll focus on how firms perceive risks and disruptive events and their impact on firm performance.”