A5058315398- Advanced Graph Theory Research
- Computational Geometry and Mesh Generation
- Graph Labeling and Dimension Problems
- graph theory and CDMA systems
- Graph theory and applications
- Financial Markets and Investment Strategies
- Stock Market Forecasting Methods
- Technology Assessment and Management
- Quality and Supply Management
- Financial Distress and Bankruptcy Prediction
- Finite Group Theory Research
- Technology Adoption and User Behaviour
- Limits and Structures in Graph Theory
- Financial Reporting and Valuation Research
- Quality and Management Systems
- Supply Chain and Inventory Management
- ICT Impact and Policies
- Economic and Technological Systems Analysis
- Construction Project Management and Performance
- Monetary Policy and Economic Impact
- Digital Transformation in Industry
- Optimization and Packing Problems
- Scientific Research and Philosophical Inquiry
- Operations Management Techniques
- Information and Cyber Security
University of Economics in Bratislava
2009-2023
Technical University of Košice
1984-1999
University of Pavol Jozef Šafárik
1999
Abstract Most of the research on success in implementing Six Sigma agrees upon fact that one key factors is selection profitable projects. This seems to be especially important for high‐risk, large‐scope and long‐term projects, as mostly case design The purpose this paper outline project characteristics present a new model evaluating To evaluation model, we utilized mathematical optimization modeling techniques real options theory. allows quantification not only project's value prior its...
Perceived gain from the use of e-business information and communication technologies (ICT) represents main driver that motivates companies to implement them. The study focuses on perception ICT applications within companies. On sample 11,072 27 EU states, we have determined which application how they perceive impact their revenue growth. An ordinal regression decision tree analysis been used identify a portfolio applications. We also proposed three hypotheses test whether perceived is...
Background: Elevated gamma-glutamyl transpeptidase (GGT) is present approximately in half of all patients with non-alcoholic fatty liver disease (NAFLD). NAFLD the manifestation metabolic syndrome (MS). This study aimed to explore relationship between GGT and MS or proinflammatory parameters. Methods: Data from cross-sectional HepaMeta conducted Slovakia 2011 among Roma living rural communities were used. Participants (n=446) divided into 2 groups; those elevated normal levels. was diagnosed...
<p><strong>Purpose:</strong> The purpose of this paper is to identify and determine reasons why construction companies reject some the request for proposals (RFPS) suitable them. <br /><strong>Methodology/Approach:</strong> research has several parts. Within first part list which lead rejection RFPS thus potential client are identified. Then comparison differences between groups rejected with different configuration made. last use Pareto analysis most...
In the field of digital business ecosystem, self-regulation feature plays crucial role. ICT supports biological and sociological phenomena through efficient electronic services. One main roles is building enhancing relationships between actors within ecosystem. Problem interaction commercial subjects depends on expected benefits. These expectations are predictors successful result from realized transaction with potential partner. And this predictor based trust trustworthiness. The paper...
Purpose: Design of experiment (DOE) represent very powerful tool for process improvement vastly supported by six sigma methodology. This approach is mostly used large and manufacturing orientated companies. Presented research focused on use DOE in truck company, which medium size service orientated. Such study has several purposes. Firstly, detailed description effort based can be as a methodological framework companies similar to researched one. Secondly, it provides example successfully...
Machine Learning (ML) techniques are encountered nowadays across disciplines, from social sciences, through natural sciences to engineering. The broad application of ML and the accelerated pace its evolution lead an increasing need for dedicated teaching concepts aimed at making this technology more reliable responsible. However, is a daunting task. Aside methodological complexity algorithms, both with respect theory implementation, interdisciplinary empirical nature field be taken into...