A5010379074- Technology Adoption and User Behaviour
- Technology and Data Analysis
- Recommender Systems and Techniques
- Digital Marketing and Social Media
- Financial Distress and Bankruptcy Prediction
- Customer churn and segmentation
- Data Mining Algorithms and Applications
- Neural Networks and Applications
- Knowledge Management and Sharing
- Imbalanced Data Classification Techniques
- Stock Market Forecasting Methods
- Diverse Topics in Contemporary Research
- AI-based Problem Solving and Planning
- Consumer Perception and Purchasing Behavior
- ERP Systems Implementation and Impact
- Customer Service Quality and Loyalty
- Multi-Criteria Decision Making
- Diverse Approaches in Healthcare and Education Studies
- Consumer Market Behavior and Pricing
- Consumer Retail Behavior Studies
- Spam and Phishing Detection
- Innovation in Digital Healthcare Systems
- Misinformation and Its Impacts
- Metaheuristic Optimization Algorithms Research
- Text and Document Classification Technologies
Kookmin University
2014-2024
Korea Institute of Industrial Technology
2022
Seoul National University
2014
Ewha Womans University
2013
Korea University
2009
Sungshin Women's University
2007-2008
Korea Institute for Advanced Study
2006-2007
Korea Advanced Institute of Science and Technology
1991-2007
Soonchunhyang University
2003
Trust is the key ingredient for sustainable transactions. In concept of trust, trustor trusts trustees. e-commerce, buyer and trustees are intermediaries seller. Intermediaries provide web-based infrastructure that enables buyers sellers to make buyer’s judgment comprises two distinct concepts; both trust distrust reside in trustor. The purpose this study was examine complicated effects on a purchase intentions. Previous studies have provided theoretical frameworks illustrating co-existent...
To enhance the sustainability of business operations, enterprises have interests in enterprise resource planning (ERP) transitions from an existing on-premise method to a cloud-based system. This study conducts comprehensive analysis using technology-organization-environment, diffusion innovation, and model innovation resistance frameworks. The empirical shows that factors organizational culture, regulatory environment, relative advantage, trialability, vendor lock-in all had significant...
Panchromatic 1,6-bis(N-phenyl-p-(R)-phenylamino)pyrenes, 2R, were obtained from Buchwald-Hartwig coupling reactions between N-phenyl-p-(R)-phenylamines and 1,6-dibromopyrene. The photophysical properties of 2R corresponded well to the electron-withdrawing -donating nature diarylamine substituents, exhibiting a full color visible range 454 620 nm. In particular, deep blue 2CN showed high radiative rate constant 2.85 x 10(8) s(-1) with emission quantum efficiency 79%. Further applications as...
Abstract: Case‐based reasoning (CBR) often shows significant promise for improving the effectiveness of complex and unstructured decision‐making. Consequently, it has been applied to various problem‐solving areas including manufacturing, finance marketing. However, design appropriate case indexing retrieval mechanisms improve performance CBR is still a challenging issue. Most previous studies on have focused similarity function aspect or optimization features their weights. according some...
Measuring and managing the financial sustainability of borrowers is crucial to institutions for their risk management. As a result, building an effective corporate distress prediction model has been important research topic long time. Recently, researchers are exerting themselves improve accuracy models by applying various business analytics approaches including statistical artificial intelligence methods. Among them, support vector machines (SVMs) becoming popular. SVMs require only small...
Abstract: Because of its convenience and strength in complex problem solving, case-based reasoning (CBR) has been widely used various areas. One these areas is customer classification, which classifies customers into either purchasing or non-purchasing groups. Nonetheless, compared to other machine learning techniques, CBR criticized because low prediction accuracy. Generally, order obtain successful results from CBR, effective retrieval useful prior cases for the given essential. However,...