Research Area
FARM(Future & Analytics for Regional Micro-industries)
1. Smart Industrial Cluster &
Ag-Tech Convergence Research
Smart Industrial Cluster Development and Operations: Research on intelligentization and efficiency strategies for industrial clusters utilizing ICT-based automation technology. Analysis of energy management, logistics optimization, and safety management system implementation within industrial clusters.
Ag-Tech Industrial Clusters: Research on strategies for establishing and operating agriculture technology-based industrial clusters. Exploration of regional agricultural innovation ecosystem development through agricultural technology concentration, including smart farm clusters and agri-food processing complexes.
Innovation Technology Introduction and Diffusion in Industrial Clusters: Analysis of digital transformation, smart manufacturing, and IoT/AI technology adoption strategies for companies in industrial clusters, including economic feasibility assessment.
2. Industrial Cluster-based Regional Business Ecosystem Research
Business Environment Analysis for Companies in Industrial Clusters: Analysis of institutional factors, networking effects, and agglomeration benefits for growth and competitiveness enhancement of companies within industrial clusters.
Innovation Infrastructure Development in Industrial Clusters: Research on establishing innovation support systems within industrial clusters, including joint R&D centers, technology support facilities, and workforce development programs.
Industrial Cluster Policy and Institutional Research: Research on policy directions, regulatory improvements, and support system design and evaluation for industrial cluster revitalization.
3. Efficiency Analysis & Data-Driven Management for Industrial Clusters
Industrial Cluster Operational Efficiency Analysis: Measurement of resource utilization efficiency in industrial clusters using quantitative techniques such as DEA and SFA, and derivation of strategic implications for performance improvement.
Big Data Analysis for Industrial Clusters: Collection and analysis of corporate activity data, logistics data, and energy consumption data within industrial clusters to derive operational optimization strategies.
Machine Learning/Deep Learning-based Predictive Modeling: Support for sophisticated data-driven decision-making through prediction of corporate performance, occupancy demand forecasting, and industry trend analysis within industrial clusters.
4. Spatial Econometric Analysis & Industrial Cluster Location Research
Spatial Agglomeration Pattern Analysis of Industrial Clusters: Analysis of spatial distribution and agglomeration patterns of industrial clusters utilizing spatial autocorrelation and spatial regression models.
Industrial Cluster Location Optimization: Optimal site selection for industrial clusters and inter-regional spillover effect analysis through spatial econometric models.
Spatial Analysis of Regional Industrial Networks: Analysis of spatial structure of connectivity between industrial clusters and supply chain networks, and measurement of regional economic spillover effects.
Spatial Data-based Policy Simulation: Prediction of industrial cluster policy effects and scenario analysis utilizing GIS and spatial econometric techniques.
5. Strategic Management & Game Theory Application in Industrial Clusters
Strategic Interaction Analysis between Companies in Industrial Clusters: Analysis of competitive and cooperative structures between companies within industrial clusters utilizing game theory, and derivation of optimal strategies.
Information Asymmetry Issues in Industrial Clusters: Analysis of the impact of information gaps between cluster management entities and tenant companies, or between companies, on strategies and market structures. Exploration of adverse selection and moral hazard issues.
Collaborative Network Design for Industrial Clusters: Research on strengthening industrial cluster competitiveness through optimal collaborative structure and incentive design.