A5046815201- Economic and Technological Innovation
- Supply Chain Resilience and Risk Management
- Advanced Statistical Methods and Models
- Advanced Clustering Algorithms Research
- Regional resilience and development
- Regional Development and Policy
- Economic Growth and Productivity
- Complex Network Analysis Techniques
- Hungarian Social, Economic and Educational Studies
- Global Trade and Competitiveness
- University-Industry-Government Innovation Models
- Microfluidic and Bio-sensing Technologies
- Economic Development and Digital Transformation
- Electrowetting and Microfluidic Technologies
- Risk Management in Financial Firms
- Global trade and economics
- Market Dynamics and Volatility
- scientometrics and bibliometrics research
- Microfluidic and Capillary Electrophoresis Applications
- Fiscal Policy and Economic Growth
- COVID-19 Pandemic Impacts
- Statistical and numerical algorithms
- Business Strategy and Innovation
- Face and Expression Recognition
- Employment and Welfare Studies
Obuda University
2021-2024
PannonPharma (Hungary)
2024
Laboratoire de Chimie
2023
Eötvös Loránd University
2021
Budapest University of Technology and Economics
2011
Despite being questioned, absolute economic β -converge is a widely applied method for investigating cohesion tendencies among EU regions.Corresponding data further supports the application of theory.Relying on our previous results present study utilizes MFV-robustified linear regression in order to identify over-and underperforming regions.For this purpose regional GDP and NDI NUTS2 NUTS3 level regions are used from time period 2000-2020.Since underlying distributions have typically long...
The objective of this research is to present a qualitative methodology for the empirical investigation enterprises’ responses economic shocks. Annual balance sheets and income statements nearly 26,000 Hungarian small- medium-sized enterprises (SMEs) in production sector have been examined. A data-driven resilience metric introduced, based on annual sales growth fluctuations response idiosyncratic disturbances. Accordingly, Logistic Regression Random Forest classification company-year...
Resilience, as a characteristic of business organization to prepare, adapt, withstand and survive economic distress periods is essential for continuous operation also contributes balanced macroeconomic state regions. It not evident whether being resilient once or several times during the lifetime in which aspect can contribute long-term survival success. In this study annual revenue information – gathered from more than 26,000 Hungarian companies processing industry utilized order construct...
The attribute of a company being able to cope with unpredictable negative changes and crises is called resilience. Nevertheless, it also possible not just adapt survive economic distress periods, then even make benefit out them. This latter phenomenon often referred in literature as "antifragility" towards crises. In the present study classification attempt provided based on novel definition resilience antifragility using balance sheet income statement data from almost 26,000 small...
Assigning observations to highly separable although relatively homogeneous groups is still a challenging task despite the abundance of well-elaborated theories and effective, practical algorithms. Not just aim clustering then underlying data itself influences choice method way assessing results. Outliers non-normal distribution can lead surprising, unstable many times undesirable results especially in higher dimensions. This implies importance some human supervision case such unsupervised...
In this study, we review different approaches of resilience in the case small and medium-sized enterprises (SMEs) that face ever-growing challenges due to risks arising from interconnected globalised environment which they are embedded. The field economic is great interest nowadays effects caused by current Covid-19 pandemic. There already several thorough concepts elaborated on estimating SME resilience, have valuable ideas aspects incorporated relying mainly questionnaire survey data. We...
Linear regression is one of the fundamental tasks mathematical statistics and machine learning related disciplines. Several techniques have been elaborated, however most common still application least squares technique. In this paper we present an alternative, "robustified" approach for linear that instead relying on minimization L2-norm, minimizes P-norm was introduced by Steiner et. al. in connection with earth sciences Most Frequent Value (MFV) calculations. Although proposed alternative...
High growth firms are of special interest among SMEs due to their outstanding value added economic and potential be resilient towards turbulence generated by globalised market factors. In this study we discuss the information extracted out textual data collected from owners CEOs small medium-sized enterprises (SMEs) with high rates in Hungary during face-to-face workshops. order condense variety given answers various predefined questions method Word Cloud analysis was used represent focuses...
Textual data provides a new perspective and huge potential with additional information in analysing segmenting business organisations. Statistical "hard data" is often too general or even misleading might be affected by several exogenous endogenous factors while questionnaire survey related "soft hardly available can biased the interviewees position organisation its own personal orientation. On other hand, besides aforementioned sources organisations, education- research institutions etc....
Complex networks can often be characterized by a fundamental structure that described general principles. The same holds for social of partnership formations. Connections arose from the H2020 R& D funding program also analysed this way is hugely affected endogenous impacts. Nevertheless, self-organization occurs naturally results high preferential points, near scale-free connection-network and significant inequalities among partners, EU member states regions. Albeit goal such programs not to...
Being able to participate in Horizon 2020 research projects is an outstanding opportunity for innovation and development. Regions can also utilize incorporated knowledge, equipment, added value etc., furthermore increase their overall competitiveness resiliency the long run. Corresponding literature actively investigates formed social network of project members, central players possible factors that might contribute a successful submission. In present study freely accessible information are...
Identification of the strength relationship between two variables is usually done by investigation their correlation coefficient. For determining linear relationships Pearson's coefficient used that requires to be normally distributed. However, presence outliers and even minor deviations in underlying distribution from Gaussian can lead researchers practitioners astray when interpreting results. Since detection multidimensional not always feasible our data sample does necessarily shows...
The question of economic convergence within the European Union enjoys enormous popularity and great interests are vested in forming appropriate policies order to enable a balanced fair development member states their regions highly different historic- background. Scientific literature approaches topic from several aspects argues about results. Depending on investigated time interval spatial location contradictory conclusions were drawn cohesion tendencies success EU policies. In present...
International cross-border co-operations can highly contribute to individual and even regional value-added generation.In the present work 51 Central European stakeholders with different organizational types were selected for an online survey where preference options in a form of multiple choice questionnaire collected on their interests possible future co-operation additional textual data general descriptions, strengths, focuses, goals etc.Based gathered clustering partakers performed...
In a globalized market environment with continuously changing conditions and customer requirements, international cross-border co-operations gain an increasing importance for different actors in order to establish adequate networks. This can highly contribute the sustainable, more effective operation of long-run that even become resilient case turbulent events. 51 Central European region organisational types were selected their preferences asked survey about interests regarding up-to-date...