Taeyong Yang
Korea Advanced Institute of Science and Technology · Engineering
About the Lab
Professor Taeyong Yang's research lab specializes in operations management, energy systems, and corporate transparency, with a strong focus on optimizing industrial and energy systems through advanced algorithms and data-driven models. The lab investigates sustainable energy solutions—particularly for remote islands—by integrating renewable sources, storage, and hybrid power systems, while also exploring the impact of corporate transparency and peer dynamics on firm performance and innovation. Research spans from heuristic optimization in scheduling and resource allocation to empirical analysis of financial behavior and strategic decision-making in Korean firms.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15The South Korean government has long been attempting to reduce the nation’s heavy reliance on fossil fuels and increase environmental safety by developing and installing renewable power generation infrastructures and implementing policies for promoting the green growth of Korea’s energy industry. This study focuses on the use of independent renewable power generation systems in the more than 3000 officially affirmed islands off Korea’s coast and proposes a simulated solution to the electricity l
Abstract This study proposes a new corporate transparency index comprising four sub‐indices: financial, governance, operational, and social transparency. Using our index, we examine the effects of corporate transparency on firm value and the profitability of 162 Korean venture firms. Results show that corporate transparency is positively associated with firm profitability. Financial transparency is positively related to firm profitability and negatively associated with firm value. Firms with a g
Abstract This paper presents an efficient multiple-pass heuristic algorithm for job shop scheduling problems with due dates wherein the objective is to minimize total job tardiness. Algorithm operation is carried out in two phases. In phase 1 a dispatching rule is employed to generate an active or non-delay initial schedule. In phase 2, tasks selected from a predetermined set of promising target operations in the initial schedule are tested to ascertain whether by left-shifting their start times
Abstract Information about the activities of peer firms is indispensable for most corporate strategies. However, factors related to competitors have not been considered in most corporate financial research. This study uses data from Korean manufacturing firms to analyze empirically whether information on peer firms influences a firm's cash stockpiling decisions. Our results show that peer firms' cash ratio is a significant factor in the determination of company cash holding levels. To handle end
This paper discusses the importance of absorptive capacity in improving a firm's innovation performance. Specifically, we examine firm interaction with the knowledge and capabilities of outside organizations and the effect on the firm's bottom line. We use the impulse-response function of the vector auto-regressive model to gain insight into this relationship by estimating the time required for the effect of each activity level to reach outputs, the spillover effects. We apply this methodology t
Research Areas
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