Kihívások és tanulságok a menedzsment területén

2025. március 27., csütörtök

  • 8:30 – 10:00

    • Regisztráció
  • 10:00 – 13:00    
    • Plenáris ülés
  • 13:00 14:00
    • Ebéd
  • 14:00 – 16:00   
    • Szekcióülések
  • 18:30 
    • Vacsora

2025. március 28., péntek

  • 9:00 – 10:15​

    • Panelbeszélgetés: AI felhasználási lehetőségei vállalati közegben
  • 10:30 – 13:00
    • Szekcióülések
  • 13:00 14:00
    • Ebéd
  • 14:00 – 15:30
    • Szekcióülések

Plenáris előadóink

Dr. Anna Paraskevopoulou

Előadás címe: Gender Bias in AI: Manifestations and Consequences

 

Dr. Anna Paraskevopoulou az Anglia Ruskin Egyetem Gazdaságtudományi és Jogi Karának egyetemi docense, emellett a kar Athena SWAN vezetője, valamint a Biztonságos és Befogadó Közösségek Kutatási és Innovációs Intézet kari vezetője.

 

Abstract
Purpose
The study examines whether age intersects with gender and race during the initial stage of the hiring process and affects access to vacancies outcomes and wage sorting.
Design/methodology/approach
In order to answer the research question, the study collects data from four simultaneous field experiments in England. The study compares the labour market outcomes of younger White British men with those of older White British men and women, and with those of older Black British men and women. The study concentrates on low-skilled vacancies in hospitality and sales in the private sector.
Findings
The results of this study indicate that older White British men and women, as well as older Black British men and women, experience occupational access constraints and are sorted into lower-paid jobs than younger White British men. The level of age discrimination is found to be higher for Black British men and women. In addition, Black British women experience the highest level of age discrimination. These patterns may well be in line with prejudices against racial minority groups and stereotypical sexist beliefs that the physical strengths and job performance of women decline earlier than those do for men.
Practical implications
If prejudices against older individuals are present, then anti-discrimination legislation may be the appropriate response, especially for racial minorities and women. Eliminating age discrimination in selection requires firms to adopt inclusive human resources (HR) policies at the earliest stages of the recruitment process.
Originality/value
This research presents for the first-time comparisons of access to vacancies and wage sorting between younger male racial majorities and older male racial majorities, older female racial majorities, older male racial minorities, and older female racial minorities. In addition, the driven mechanism of the assigned differences is explored. Because the study has attempted to minimise the negative employer stereotypes vis-à-vis older employees, with respect to the employees' motivation, productivity, and health, such prejudices against older individuals may be considered taste-based discrimination.

Dr. Renatas Kizys

Előadás címe: Supply Chain Network and Corporate ESG Performance: Polycentric or Monocentric?

 

Dr. Renatas Kizys a Southamptoni Egyetem (Egyesült Királyság) Southampton Business School Pénz- és Banki Ügyek Tanszékének docense és a kutatási ügyekért felelős helyettes vezetője.

 

Abstract
We examine the relationship between supply chain networks, Environmental, Social, and Governance (ESG) performance, and financial outcomes. The motivation for this research stems from the increasing significance of ESG factors in corporate strategies, coupled with the limited understanding of how supply chain network characteristics impact both ESG and financial performance. Our analysis examines the direct effects of supply chain network size and structure on ESG scores and financial performance, while also exploring the indirect impact through ESG performance. Additionally, we evaluate the influence of the California Transparency in Supply Chains Act of 2011 on corporate sustainability efforts.
We hypothesise that larger and more centralized supply chain networks positively affect corporate ESG performance, particularly in environmental metrics, and enhance financial outcomes, especially return on sales (ROS). We also explore how these networks influence financial performance indirectly via improved ESG scores. Using a dataset of over 16,000 firm-year observations from 3,028 U.S. publicly traded companies, our findings indicate that larger supply chain networks generally lead to better ESG scores, with particular emphasis on environmental indicators. While the financial impact is mixed, network centrality is shown to significantly improve certain financial metrics, such as ROS. This study contributes to the literature by linking supply chain management practices with ESG and financial performance, providing novel insights into the role of supply chain structure in corporate sustainability. The results have important implications for firms seeking to optimise their supply chains to balance sustainability goals with financial success.

 

doc. Ing. Peter Pažitný, MSc, PhD

Előadás címe: Healthcare system efficiency in Slovakia and Czech Republic using DEA (2000 – 2020)

 

Dr. Peter Pažitný a Prágai Közgazdaságtudományi Egyetem Menedzsment Karán működő Egészségügyi Szolgáltatásmenedzsment Intézet vezetője

 

Abstract

This presentation evaluates the efficiency of the healthcare systems in Slovakia, Hungary, and the Czech Republic over the period 2000–2020 using Data Envelopment Analysis (DEA). 
In Slovakia, the analysis reveals persistent inefficiencies compared to other OECD and EU countries. The country consistently ranks among the least efficient healthcare systems due to weak health outcomes, high infant mortality, and low life expectancy. Structural issues such as excessive hospital bed capacity, suboptimal allocation of pharmaceutical spending, and unpredictable state funding contribute to these inefficiencies. The DEA results confirm that Slovakia's healthcare system requires significant policy interventions, particularly in financing, hospital network optimization, and preventive care.
Hungary faces challenges similar to Slovakia, particularly in terms of healthcare funding and patient outcomes. The country struggles with a high burden of preventable diseases, low life expectancy, and a significant urban-rural divide in access to medical services. Despite attempts to reform hospital financing and primary care, inefficiencies persist due to systemic underfunding and workforce shortages. The DEA results indicate that while Hungary has made progress in specific areas, such as public health programs, further structural reforms are needed to enhance efficiency and equity in healthcare delivery.
The Czech Republic demonstrates higher efficiency relative to Slovakia and Hungary. Its healthcare system benefits from a well-established insurance-based model, better financial sustainability, and a more balanced distribution of healthcare services. However, DEA results indicate that the Czech Republic’s efficiency has been gradually declining over time. While it ranked among the more efficient systems in the early 2000s, its relative performance has worsened in recent years, likely due to increasing healthcare expenditures without a corresponding improvement in health outcomes. 
The presentation concludes that while the Czech Republic performs relatively well, its efficiency has been declining, and Slovakia and Hungary must address their healthcare inefficiencies through targeted reforms. Improving financial sustainability, optimizing hospital networks, and strengthening preventive care are critical steps toward enhancing healthcare efficiency in the region.

Keywords: Healthcare efficiency, Data Envelopment Analysis (DEA), Slovakia, Hungary, Czech Republic, OECD, health policy, healthcare reform
 


Prof. Dr. Abbas Al-Refaie

Előadás címe: Effects of Satisfaction with PV Systems, Advertising, Competition, and Subsidy on Energy Security and CO2 Emissions
 
Prof. Dr. Abbas Al-Refaie a Jordániai Egyetem (Jordánia) Mérnöki Karán az Ipari Menedzsment Tanszék munkatársa. Kutatásai a kísérleti tervezésre, az optimalizálásra és a mérnöki menedzsmentre összpontosítanak. 2018-ban elnyerte a jordániai tudományok kiváló kutatója címet.
 
Abstract
Rooftop photovoltaic (RPV) systems, products, and components are energy-efficient technologies that are critical to the transition toward energy sustainability. Typically, the quality of RPV products and services can significantly affect adopter’s satisfaction and willingness to install RPV systems. Moreover, government support is needed to motivate the willingness to install RPV systems through feed-in-tariffs (FiT) and subsidy policies and expand the application of clean energy-efficient technology. To address these issues, the aim of this study is, therefore, to develop two system dynamics models to (1) predict the impacts of adopters’ satisfaction with PV systems through Word-of-mouth (WOM), advertising, and competition on energy goals including the number of PV installations, generated electricity power, and the reduction of CO2 emissions and (2) assess effects of quality of service, complaint reduction, performance ration, payback period and warranty on energy goals. For model (1), results revealed that the predicted cumulative PV installations is 262 MW, the cumulative generated power (kWh) (= 42.5 GWh) will reach 452 GWh, and the cumulative CO2 emission reductions may reach 262 million kg CO2. For the second model, the predicted cumulative RPV installations, generated power, and CO2 emission reductions are 147 MW, GW, 115.6 MWh, and 73.2 million Kg, respectively. Risk assessment and optimization were performed to maximize the three objectives under uncertainty of key variables in both models. In conclusion, the proposed models should provide great assistance to manufacturers, suppliers, and energy policy planners in deciding the adequate actions and developments to boost the development, design, and adoption of PV products and systems in residential buildings. 

Prof. Dr. Dan-Cristian Dabija

Előadás címe: Consumers Buying Habits in the Post-Crisis Context: a Mixed Methods Qualitative Research
 
Prof. Dr. Dan-Cristian Dabija a kolozsvári Babeș-Bolyai Egyetem professzora, illetve az Academy of Romanian Scientists tagja.
Absztrakt:
The recent crises of last years have led to remarkable changes in consumer behavior around the world, giving rise to new as well as existing patterns and practices. This research analyzes the changes in the retail sector in the post-crisis context, using a mixed-methods approach that combines qualitative analysis of focus group data with quantitative analysis techniques, such as: Term Frequency-Inverse Document Frequency (TF-IDF) analysis to identify key concepts; K-means clustering to extract group behavioural patterns; principal component analysis (PCA) and sentiment analysis for pinpointing and identifying the key dimensions of changes in consumer behaviour in food retailing. 
The results show an accelerated use of technology in shopping, a reassessment of consumer priorities and changing expectations of the shopping experience. The results also allow the delineation of four distinct clusters; they reveal the emergence of new consumption patterns characterized by accelerated digitalization, increased concerns for hygiene and changes in product selection criteria. The sentiment analysis shows clear differences in the perception of these changes and provides an important basis for the adaptation of consumers to the new life situation in the post-crisis context. The research contributes to the understanding of sustainable transformations in consumer behaviour and provides practical implications for adapting retail marketing strategies.

 

Weronika Kruszelnicka - PhD

Előadás címe: Selected aspects of sustainability in machine design and materials processing operations on the example of comminution
 
Dr. Weronika Kruszelnicka egyetemi docens a Bydgoszcz Műszaki Egyetem Gépészmérnöki Karának Megújuló Energiaforrások Mérnöki és Technológiai Rendszerek Tanszékén (Bydgoszcz, Lengyelország). Kutatási területe a speciális rendszerek gépeinek és berendezéseinek tervezésére és üzemeltetésére irányul, különös tekintettel a biomassza őrlési rendszerekre, a fenntartható fejlődés elősegítése érdekében.
 
Abstract
The assumptions and goals of sustainable development set a specific framework for the development of machines, devices and industrial processes. The specific requirements that need to be taken into account during design involves particularly rational use of materials and energy, possibly highest processing efficiency, reduction of environmental impact, recyclability of components or high agreement with the circular economy concept. Comminution process is one of the most popular processing operation that is used in many technological processes from food and feed industry, cosmetics industry, energy and mining industry, building industry, recycling industry etc. The challenge that need to be overcome is still the high energy consumption and low predictability of particle size and energy demand of the comminution. The grinding process and its technological conditions depend on the properties of the materials being ground, and the effects obtained in terms of efficiency and quality, and homogeneity of comminution product depend on the interdependence of the material properties and the design features of the mill used. To include the sustainability approach in the comminution processes it is important then to consider the interrelations between three levels of comminution system: phenomenological level including the material properties, machine design level and the process level that include the operational parameters and efficiency indicators. In this study the different aspects of reaching the sustainability in the comminution process including energy consumption, environmental impact  and product quality was discussed. The interrelation between comminution system levels were presented and the assessment indicators of the comminution system were analyzed. The approach showed that in the design of the comminution process the interrelation between comminution levels and the whole life cycle of the process need to be taken into account.

José Mendes Machado - PhD habil

Előadás címe: Interoperability in the Context of Industry 4.0 and Digital Production
 
José Machado concluded Habilitation Title in February 2019 at University of Minho, Portugal. He received his PhD degree in Mechanical Engineering – Automation, from University of Minho, Portugal and, in simultaneous, from Ecole Normale Superieure de Cachan, France, in 2006. He is Deputy Director of MEtRICs Research Center and Associate Professor w/ Habilitation at Mechanical Engineering Department of University of Minho. He has authored, or co-authored, more than 250 refereed journal and conference proceedings papers. He coordinates and has coordinated - and participated as collaborator - in several Research and Technology Transfer Projects on Mechatronics and Automation domains. His main interests are related with Industry 4.0, more specifically, on the design and development of Cyber-Physical Systems; design and analysis of dependable controllers for obtaining dependable mechatronic systems; and mechatronic systems design with special focus on manufacturing industry and medical or biomedical applications, wellbeing and/or rehabilitation. He is member of Scientific Communities IEEE, IFAC and IFToMM.
 

Absztrakt
Digital Production is one of the keys on the I4.0 concept. In Production companies, the integration of cyber-physical systems at different levels — such in design, normal operation and maintenance — remains a challenge, with significant progress still needed in both: academia and, more notably, in the industrial sector. Among these areas, interoperability of cyber-physical systems appears to be one of the most demanding, particularly in relation to another key pillar of Industry 4.0: the Industrial Internet of Things. This interoperability can be analyzed from two main perspectives: vertical and horizontal integration. This talk focuses on exploring integration and communication layers within networked environments, based on the architectures of the Reference Architectural Model Industry 4.0 (RAMI 4.0) and the Industrial Internet Reference Architecture (IIRA). It examines, too, the Open Platform Communications - Unified Architecture (OPC UA) as a potential approach to addressing this challenge. The discussion takes a multidisciplinary approach, drawing on expertise in automation, control systems, distributed control architectures, and the physical components under control (the plant). Additionally, the talk highlights both the potential and the limitations of OPC UA as a solution for achieving vertical and horizontal integration of cyber-physical systems.

 

NKFI

Tisztelt Felhasználó!

 

A Debreceni Egyetem kiemelt fontosságúnak tartja a rendelkezésére bocsátott, illetve birtokába jutott személyes adatok védelmét. Ezúton tájékoztatjuk Önt, hogy a Debreceni Egyetem a 2018. május 25. napjától kötelezően alkalmazandó Általános Adatvédelmi Rendelet alapján felülvizsgálta folyamatait és beépítette a GDPR előírásait az adatkezelési és adatvédelmi tevékenységébe. A felhasználók személyes adatait a Debreceni Egyetem korábban is teljes körültekintéssel kezelte, megfelelve az érvényben lévő adatkezelési szabályozásoknak. A GDPR előírásait követve frissítettük Adatvédelmi Tájékoztatónkat, amelyet az alábbi linkre kattintva olvashat el: Adatkezelési tájékoztató. DE Kancellária VIR Központ

A tájékoztatót megismertem.