Research Seminars

Prateek Kalia PhD.
Assistant professor, Department of Business Management, Masaryk University, Brno, Czech Republic

Title:   Cellulographics©: A Next-Generation Framework for Smartphone-Based Consumer Segmentation

Abstract  This seminar introduces Cellulographics©, a behavioral segmentation framework that categorizes individuals based on their actual smartphone usage rather than static socio-demographic factors. Traditional approaches, such as demographic, psychographic, and technographic lenses, often fall short in digital contexts. Cellulographics addresses this gap by concentrating on usage-level factors like experience and skills, frequency and duration of use, screen time, activities, and contexts or locations. I will outline the conceptual model, discuss measurement approaches, and demonstrate how Cellulographics complements the current technology-centric world, informing research in mobile commerce, HCI, digital health, and digital well-being. Empirical pathways include scale development and validation, segmentation-driven experiments, and cross-cultural comparisons. The session will highlight implications for both scholarship and practice, focusing on design, personalization, and policy. I will conclude by inviting colleagues to collaborate on joint projects and publications, including comparative studies leveraging datasets and field settings. 

Registration

Dr. András Gyimesi
Assistant Professor, Department of Economics and Econometrics, University of Pécs Faculty of Business and Economics

Title:   The importance of panel data and methods in economic research

Description:  Most research questions can be written in the form "how does x affect y?" In such cases, it is extremely important to eliminate endogeneity so that we can measure the effect of x on y with as little distortion as possible. I will review how a panel data set can help in this regard. Even if the data is available, it is still important to choose the right method. The most commonly used methods are difference-in-differences, fixed effect, first-difference, and dynamic panel methods. These will be presented, with particular emphasis on when it is appropriate to use them and when it is not. 

Registration

Balázs Szepesi PhD
Head of School, Mathias Corvinus Collegium (MCC) School of Economics, Center for Enterprise Research

Cím:   Some aspects of the history of Hungarian businesses after the change of regime – beginnings, obstacles, driving forces, strategic focuses

Absztrakt: The presentation reviews the results of research focusing on the history of Hungarian small and medium-sized enterprises after the transition to democracy. The MCC Business Research Workshop project draws on in-depth interviews, extensive literature review, and expert workshops to examine how the external environment affected the operation of businesses and what strategic responses determined the operation of companies based on their motivations. The presentation will present and discuss the preliminary results of a book chapter on the topic. 

Résztvevői regisztráció

Manfred Paier
Scientist, Deputy Head of Innovation Dynamics and Modelling,  Austrian Institute of Technology GmbH, Wien, Austria

Title:   Exploring Regional Twin Transition Pathways with an Empirical Agent-Based Model

Abstract: The twin transition—an integrated approach to digitalization and green innovation—is central to the European Union’s strategy for addressing climate change while fostering economic competitiveness. However, European regions exhibit significant heterogeneity in innovation capacities, industry structures, and institutional frameworks, affecting their ability to navigate this transition effectively. This ongoing project explores regional twin transition pathways by analysing the transformation of technological knowledge bases using an empirical agent-based model (ABM). We employ an ABM that simulates knowledge creation processes in 292 NUTS2 regions across Europe. The model represents 70,000 heterogeneous agents, characterized by sectoral affiliations, R&D intensities, and technological endowments, and specifies agent interactions for learning and knowledge exchange. It examines the mechanisms through which regions advance toward green and digital specialization, identifying pathways such as related and unrelated diversification, upgrading, and importation. By incorporating spatial microsimulation techniques and patent data from 2015–2020, we quantify regional specializations in green and digital technologies, allowing us to assess the impact of pre-existing capabilities on transition trajectories. First results indicate that regions with established green and digital knowledge bases predominantly follow related diversification, reinforcing existing expertise. Conversely, less technologically advanced regions rely on importation and unrelated diversification, facing greater structural challenges in transitioning toward twin specialization. Spatial spillover effects further influence transition dynamics, with advanced regions in Germany, Scandinavia, and Southern France leading the twin transition, while Eastern and South-Eastern European regions exhibit lagging trends. These findings highlight the evolutionary nature of technological transitions and the role of regional characteristics in shaping twin transition pathways. Future research will extend the model to assess policy interventions fostering interregional collaboration and diversification, providing insights for targeted innovation strategies. 

Registration

Sándor Juhász
Research fellow,
Corvinus University of Budapest, HUN-REN: Hungarian Research Network

Title:   Colocation of skill related suppliers -- Revisiting coagglomeration using firm-to-firm network data

Abstract: Firms in industry clusters benefit from locating close to their suppliers and customers. However, emerging global supply chains question the need for colocation to manage buyer-supplier relationships. We hypothesize that supply chain partners are more likely to colocate if they exchange not only goods but also know-how. Building on the literature of coagglomeration and using micro-data on the Hungarian economy, we study colocation, labor flows and value chain connections at the level of firms and pairs of industries. We show that supply chains are more likely to support colocation when the firms involved operate in skill related industries.

Registration

Juhász Sándor
Tudományos munkatárs
Budapesti Corvinus Egyetem, HUN-REN: Magyar Kutatási Hálózat

Cím:   Cégek beszállítói hálózatai magyar adatokon keresztül

Absztrakt: Magyarország azon kevés ország egyike, ahol a cégek ÁFA bevallásaiból származó adatok elérhetőek kutatási célokra. Ezek az adatok lehetővé teszik a beszállítói hálózatok vállalati szintű tanulmányozását a nemzetgazdaság egészében. Ez az előadás áttekintést nyújt ezekről az adatokról és felvillant néhány lehetőséget, amely az ÁFA adatok más adatbázisokkal való kombinálásából adódik a cégek, iparágak és régiók gazdasági kapcsolatainak tanulmányozására.

Résztvevői regisztráció

Dr. Váry Miklós
Egyetemi adjunktus,
Közgazdaságtan Intézet, Budapesti Corvinus Egyetem

Előadás témája:   Volt-e fiskális ingyen ebéd Magyarországon 1999-2019 között?.

Absztrakt: Az előadás azt vizsgálja, hogy voltak-e olyan időszakok 1999 és 2019 között Magyarországon, amelyek során önfinanszírozó volt a kormányzati költekezés. Ez egy olyan állapotot jelent, amikor a költségvetési deficit növekedése nem vezet a GDP-arányos államadósság növekedéséhez, mivel a deficit élénkíti a gazdasági teljesítményt is. Egy egyszerű adósságdinamikai modell paramétereinek becslésére kerül sor magyar adatokon, majd azt vizsgálja az előadás, hogy érvényes-e az előbbi érvelés egy feltörekvő, kis nyitott gazdaságra is, amilyen a magyar.

Dr. Tamara Keszey, Professor, Corvinus University - Institute of marketing, Department of Marketing, Budapest, Hungary

Title:   How to publish in international Q1 management journals? - The importance of research question, theoretical positioning and international embeddedness

Abstract: TBA

 

Philipp Koch, Researcher, EcoAustria - Institute for Economic Research, Vienna, Austria

Title:   From better understanding economic history through machine learning to shedding light on emissions and value-added in global value chains

Abstract: Quadrupling historical GDP per capita estimates through machine learning. Can we use data on the biographies of hundreds of thousands of historical figures to estimate the GDP per capita of countries and regions? Here we introduce a machine learning method to estimate the GDP per capita of dozens of countries and hundreds of regions in Europe and North America for the past 700 years starting from data on the places of birth, death, and occupations of hundreds of thousands of historical figures. We build an elastic net regression model to perform feature selection and generate out-of-sample estimates that explain 85% of the variance in known historical GDPs per capita. We use this model to generate GDP per capita estimates for countries, regions, and time periods for which this data is not available and validate them by comparing them with three proxies of economic output: body height in the 18th century, wellbeing in 1850, and church building activity in the 14th and 15th century. Additionally, we show our estimates reproduce the well-known reversal of fortune between southwestern and northwestern Europe between 1300 and 1800. These findings validate the use of fine-grained biographical data as a method to produce historical GDP per capita estimates. We publish our estimates with appropriate confidence intervals together with all collected source data in a comprehensive dataset.
 

István Herbály, CEO, Contrall Ltd.

Title:   Artificial Intelligence: basics of the technology and current issues

Issues: 
Artificial or "prothetic" intelligence?
Text or content generation?
What makes deep learning?
Will it become self-aware?
Will it take everyone's job?
How will it make money?
Repetition or independent creation?
Revolutionary solution or balloon?
 

These are just some of the questions about Artificial Intelligence that many of us ask ourselves when we read or hear something about this technology almost every day. The aim of the workshop is to build a common knowledge base, followed by a joint discussion of questions like the above.

Rita Fekete, research-support librarian, University of Pécs, Library and Knowledge Centre

Title:    Responses to the challenges of a research career: focus on researcher visibility

Abstract:
With the pressure on academics to publish, a perhaps less familiar competitive situation has emerged in academia. In the pursuit of results, it is easy to find ourselves in a maze, where it becomes increasingly difficult to navigate the administrative obligations that pile up. In my presentation, I focused on the reasons for scientific visibility: why is international visibility important, why has it come to the fore and what benefits can we expect from it? My aim is to present the databases and tools available to us to achieve the highest visibility.
Issues: Why has scientific visibility become a priority?
What are the benefits for the publishing researcher?
What is the difference between bibliographic databases and community science platforms?
When and why should they be used?
How can I manage my author profiles?
Introduction and possibilities of Scopus and Web of Science.
Introduction and possibilities of Researchgate and Academia.edu
A good practice from Utrecht University: Research Visibility Check
What can the library help you with: what services do we have, who can you contact and for what?