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Dayoung Kim
Senior Lecturer
Research Interests
About
Dayoung Kim is an Assistant Professor in the Department of Marketing at the National University of Singapore, Singapore. Her research areas include consumer behavior, inventory management, and experimental studies on honesty and learning processes. Recent articles by Professor Kim explore themes such as the induction of honesty, inventory decision-making, and the impact of experiential learning in consumer contexts.
Articles (4)
Year:
2025
We develop a simple forecast‐anchoring model to explain and predict the mean and variance of observed inventory order decisions in a newsvendor problem. The model assumes that people employ a two‐step decision heuristic. In the first step, a behavioral bias may gravitate the decision maker's point forecast toward a random forecast versus a constant unbiased forecast. In the second step, a behavioral bias of the same magnitude may cause the decision maker to treat the point forecast as if it is the mean of potential demand, and then make an upward or downward adjustment depending on the underage and overage costs. We evaluate the performance of this descriptive forecast‐anchoring model across five experimental newsvendor data sets. First, we fit the model to a setting with uniform demand. We then use the corresponding estimates to generate predictions in a secondary data set with uniform demand, as an out‐of‐sample test. We proceed to fit the model to three additional newsvendor data sets, two with normal demand and one with asymmetric two‐point demand. In all cases, the model predicts the mean and variance of inventory order decisions well. We further investigate the profit implications under the forecast‐anchoring model and find that the predictions match well with the experimental data. Through improved predictions, the model can help upstream supply chain parties anticipate inventory order decisions from buyers and improve profitability.
Year:
2024
To address the need for students to better comprehend process management concepts in an undergraduate‐level operations management course, we proposed and examined the effectiveness of an experiential learning activity, the Service Process Observation Exercise (SPOE) . After teaching process management topics in the form of a traditional lecture, students were offered the opportunity to observe, record, and analyze a live, functioning process and to report their findings. Analyzing exam results following the activity, we found that the students who participated in the SPOE scored 5.3% higher than students who did not participate on items measuring knowledge of process management concepts. No differences were found on items measuring the knowledge of other concepts covered in the course. These findings are robust, even after controlling for potential covariates, suggesting that the SPOE significantly improves student comprehension of concepts directly related to process management.
Year:
2022
Year:
2021
Collaborators (4)
Teck-Hua Ho
Nanyang Technological University (NTU)
Rommel O. Salvador
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Vishal Gaur
Professor of Operations, Technology, and Information Management
Cornell University
Ching Leong
National University of Singapore (NUS)
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