https://scholarworks.unist.ac.kr/handle/201301/109 2026-04-21T23:57:54Z https://scholarworks.unist.ac.kr/handle/201301/91368 Title: Short-term forecasting of seafood exports: a hybrid approach for strategic trade planning Author(s): Han, Kiuk; Won, Eunsong; Chung, Keunsuk Abstract: In this study, a short-term forecasting model for seafood exports is developed by integrating econometric and deep-learning methods. Using Korea's monthly data from January 2000 to December 2023, we identified five key predictors-export price, won-yen exchange rate, Brent oil price, real gross domestic product (GDP) per capita, and seafood production-through a systematic feature selection process. Dynamic regression confirmed their significant effects on export volumes, while long short-term memory (LSTM) and gated recurrent unit (GRU) models produced accurate forecasts for January 2022 through to December 2023. The results highlight product-specific dynamics: seaweed snack exports are highly sensitive to global income and demand, reflecting their income-elastic nature, whereas tuna exports are mainly shaped by production capacity and relative price competitiveness. By simultaneously identifying key export determinants and generating forward-looking forecasts, this framework combines interpretability with predictive accuracy, offering practical implications for tailored trade strategies, proactive risk management, and sustainable policy planning in volatile global seafood markets. 2026-02-28T15:00:00Z https://scholarworks.unist.ac.kr/handle/201301/91101 Title: When Academics Meet Climate: The Differential Impact of Climate versus Non-Climate Technologies from Universities Author(s): LOU, KARINA Abstract: In the context of climate change mitigation as a paramount global challenge, this study focuses on technologies originating from university research. We investigate the influence of university-originated climate technologies (CTs) on subsequent inventions, specifically whether CTs exert greater knowledge spillovers than non-climate technologies (NCTs) and whether this effect is amplified by knowledge spanning. Knowledge spanning captures the extent to which an invention integrates knowledge across multiple domains, reflecting the diversification of the knowledge it embeds. Drawing on a large sample of 184,942 U.S. university-originated patents granted from 1981 to 2023 (post-Bayh-Dole Act), we utilize forward citations as an established patent indicator to measure knowledge spillovers. The findings reveal that university-originated CTs receive significantly more forward citations than NCT counterparts, consistent with evidence that climate patents generate greater knowledge spillovers. Crucially, among CTs, those exhibiting higher knowledge spanning have even greater influence on subsequent technological developments, suggesting that knowledge integration across domains is critical for maximizing academic climate technology impact. Additional analyses highlight heterogeneity across CT subclasses, with building, production, transportation, and waste management technologies showing the largest advantages. These results provide actionable insights for public R&D policies, emphasizing targeted funding for knowledge-spanning CTs to enhance spillovers and accelerate low-carbon transitions. Major: School of Business Administration 2026-01-31T15:00:00Z https://scholarworks.unist.ac.kr/handle/201301/91100 Title: Research Roots And Innovation Fruits: How University Research Intensity Shapes CEO Influence On Corporate Innovation Author(s): IDINOV, AMAL Abstract: Innovation is a cornerstone of organizational success, yet the educational foundations that shape innovative leadership remain underexplored. Building on Upper Echelons Theory and Human Capital Theory, this study examines how the research orientation of a CEO’s alma mater influences firm-level innovation. We explain that CEOs educated in research-intensive universities develop inquiry-driven and experimentation-oriented mindsets that translate into stronger corporate innovation through enhanced R&D and patenting activity. Using a multi-year panel data of S&P 1500 firms, we find an intricate relationship between university research performance and firm innovation activity. Our analysis results show that CEOs from highly research-intensive universities invest more in R&D, but are not better than their peers at generating patents. This study introduces university research intensity as a novel dimension of executive human capital, deepening our understanding of how educational environments shape strategic leadership and corporate innovation. Major: School of Business Administration 2026-01-31T15:00:00Z https://scholarworks.unist.ac.kr/handle/201301/91099 Title: Akhmedov Shakhzod Uktam Ugli School of Business Administration Author(s): AKHMEDOV, SHAKHZOD UKTAM UGLI Abstract: In the age of advanced artificial intelligence, AI agents are increasingly taking over human agents in consumer service tasks, understanding how their design shapes consumer response is very critical. This study explores whether AI agent appearance (human-like versus machine-like) affects users' interaction in airline service contexts and examines how trust and fairness influence these effects under different service outcomes (success vs. failure). A 2 × 2 between-subjects online experiment (N = 240) manipulated AI agent appearance and service performance (success vs. failure) in a simulated mobile chat interface, with participants reporting trust, fairness and behavioural intentions. Results showed that service outcome was the strongest predictor of consumer responses, while AI agent appearance had no main effect in service success condition while being important if service fails. Under failure conditions, however, human-like AI agents were liked and recommended more than machine-like AI agents. Findings from this research suggest that in high-stakes situations, functional performance and perceptions of fairness take precedence over visual design, whereas human-like attributes may only mitigate negative reactions in an instance of service failure, providing practical insights for the design of effective AI service agents. Keywords: AI agent, anthropomorphism, trust, fairness, service condition, consumer response Major: School of Business Administration 2026-01-31T15:00:00Z