1424 research outputs found
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A food design fogalmi keretei, valamint az éttermi élmény tervezésében az interakció és a téma (koncepció) szerepe, különös tekintettel a fine dining kontextusára [védés előtt]
Full text linkFood design alatt azt a designt – azaz egyfajta rendet megcélzó emberi cselekvést – érthetjük, amely élelmiszerhez, valamint étkezési eszközökhöz, helyszínekhez, helyzetekhez, szolgáltatásokhoz és rendszerekhez kapcsolódik. Az irodalmi áttekintés foglalkozik a food design fogalmával, történetével, klasszifikációjával, főbb megközelítéseivel (kritikai jelleg, nosztalgia, fenntarthatóságra, digitalizáció és élményorientáció), valamint designkommunikációs összefüggéseivel. A fő elméleti keret az élménygazdaság. A partnervállalat mint kutatási terep miatt a fine dining kontextusa is bemutatásra kerül. A disszertációban is bemutatott előkutatások után a kutatás végső fókusza az étkezési élmény mélyebb megértése lett, valamint a téma (koncepció) és az interakció szerepének feltárása az élménytervezésben. A kutatás megvalósított mélyinterjúkat, etnográfiát, fókuszcsoportokat és azt követő interjúkat a szolgáltató munkatársai és a vendégek körében. A főbb következtetések és menedzseri implikációk kiemelik, hogy az étel- és italkínálaton túlmutató élményelemek hozzájárulhatnak az étkezési élmény, különösen egy progresszív fine dining élmény létrehozásához, különös tekintettel a megfelelően tervezett interakcióra és témára (koncepcióra). A fenntartható éttermi gyakorlatok esetében fontos a koncepció szűkebb és tágabb értelmezésének összehangolása, valamint az étkezésben az emberi egészség (például allergiák) szempontjainak biztosítása
Trade in Shadow ASEAN-China Trade Relations amidst South China Sea Conflicts [before doctoral defense]
Full text linkConflict and cooperation have been among core debates in International Political Economy and International Relations. Classical and neorealists tend to treat conflict as a disruptive force that undermines cooperation and elevates security considerations above economic rationality (Mearsheimer, 2001; Waltz, 1979). Unresolved territorial disputes, from this perspective, should generate uncertainty and ultimately suppress trade. Liberal and institutionalist traditions, by contrast, suggest economic interdependence can restrain conflict (Keohane, 1989; Moravcsik, 1997). It does so by increasing the opportunity costs of escalation and by embedding state behavior within institutional frameworks that reward cooperation. Yet, despite long theoretical debate, the empirical stance of conflict-trade relations remains contested.
The relations between the Association of Southeast Asian Nations (ASEAN) and China present a particular puzzle within this debate. Their relationship is defined by a paradox where there exists two parallel yet contradictory realities
Moments that Matter: Experiences, Commitment and Career Decisions of Young Professionals in the Tourism and Hospitality Sector [védés előtt]
Full text linkResearch goal
The dissertation investigates the career decision-making processes of young professionals in the tourism and hospitality sector, focusing on the factors that strengthen commitment or lead to career exit. While most career studies emphasize individual psychological or social dimensions, this research highlights the significance of organizational and sectoral factors and the role of professional communities and mentoring. The goal is to provide a more comprehensive understanding of how career motivations, early work experiences, and community embeddedness shape long-term career trajectories in a sector facing persistent labor shortages.
Methodology
The study employed a mixed-method, multi-stage design comprising five consecutive research stages. The empirical process combined grounded theory-based narrative interviews, content analysis, focus groups, and expert interviews, complemented by action research cycles that ensured continuous reflection and iterative refinement. This comprehensive design captured the dynamics of career choice, early career entry, and career decision-making from multiple angles, linking individual motivations with sectoral and organizational contexts.
Findings
Results show that a complex structure of motivations, including personal interests, social and family background, prior experiences, and the perceived image of the sector, shapes career choice. Early career experiences were decisive: positive feedback, mentoring support, and a sense of professional identity fostered commitment, whereas negative experiences, lack of recognition, and poor working conditions often triggered early exits. Community experiences, mentoring, and sectoral networks proved critical in reinforcing identity, resilience, and long-term attachment, especially during times of crisis such as the Covid-19 pandemic.
Theoretical contribution
The dissertation proposes an integrated interpretive model that synthesizes three pillars: career theories (Super, Savickas, SCCT, Kulcsár et al.), sectoral organizational theories (attractiveness, embeddedness, commitment), and experience design (learning, employee, and professional experiences). This model reframes career choice, early career entry, and long-term commitment as a continuous experiential pathway shaped by social connections, learning opportunities, and reflexive narratives. The model offers a novel theoretical lens to understand how professional identity, sectoral attachment, and career direction evolve by combining developmental, contextual, and experiential logics.
Practical implications
The findings underline the importance of experience design and collaboration between industry stakeholders and educational institutions in strengthening the sector’s attractiveness. Supporting young professionals through structured career experiences and community engagement is essential for sustaining the future tourism and hospitality workforce
Felhasználói interakciók és közösségi dinamikák elemzése és modellezése a virtuális térben [védés előtt]
Full text linkA disszertáció célja egységes, általánosított adatmodell kidolgozása a virtuális közösségekben megfigyelhető felhasználói interakciók és dinamikák reprezentálására, hogy a heterogén platformokról származó adatok integrálhatók, újrafelhasználhatók és platformok között is összehasonlíthatók legyenek. A kiinduló feltevés szerint a különböző közösségi rendszerekben ugyanazok a minimális szerkezeti elemek azonosíthatók – felhasználók, tartalom, a tartalmakat rendező kontextusok és az ezek közötti interakciók – ezek egységes leírása teremti meg a transzparens elemzés alapját.
A kutatás módszertani keretét a Design Science Research adja, amelyet szoftvermérnöki esettanulmány és a CRISP-DM folyamatmodell egészít ki. Ennek megfelelően a dolgozat egyrészt megtervezi és implementálja a közös (fogalmi és logikai) adatmodellt és a hozzátartozó ETL-folyamatot, másrészt az előállított adatkészletet leíró és feltáró elemzésekkel validálja azokat. A három megközelítés együtt biztosítja, hogy az artifakt gyakorlati problémát oldjon meg, ugyanakkor tudományosan is értékelhető legyen.
Az artifakt használhatóságának demonstrációjához a Simple English Wikipedia szolgál adatkészletként: a MediaWiki-alapú rendszer több mint két évtizedes, nyilvánosan hozzáférhető adatai lehetővé teszik az ETL-folyamat végrehajtását, a teljes adatkorpusz konzisztens transzformációját és az elemzések futtatását. A választás amellett, hogy a modell építéséhez használt virtuális közösségektől markánsan eltérő környezetről van szó, indokolt az adatok hozzáférhetősége miatt is; a közösségi kommunikáció nyomai (névterek, vitalapok) a közösség működésének vizsgálatát is lehetővé teszik.
Az eredmények azt mutatják, hogy a javasolt modell képes szerkezetileg eltérő platformok leírására is, nem csupán a tervezés során kifejezetten vizsgált rendszerekére. A létrehozott ETL-architektúra és az adatminőségi ellenőrzések gyakorlati, ismételhető feldolgozási láncot biztosítanak.
Összességében a disszertáció fő hozzájárulása egy általános, közösség-agnosztikus adatreprezentáció és a hozzá kapcsolt ETL-módszertan, amely megnyitja az utat a megismételhető, platformközi kutatások és az adatalapú közösségmenedzsment előtt. A kutatás szerkezete és validációs lépései igazolják a modell alkalmasságát valós adatforrásokon
The impact of fluctuations in the international oil markets on the Iraqi economy [védés előtt]
Full text linkThis study examined the impact of oil price shocks on economic growth in oil-exporting countries, including Iraq. As the fourth-largest exporter of crude oil, Iraq's economy faces the challenge of being highly dependent on oil revenues, which places the economy under the influence of fluctuations in the oil market. The dominance of oil is apparent in the case of Iraq. During the past decade, oil revenues accounted for more than 99% of its exports, approximately 85% of the state's budget revenues, and approximately 42% of the GDP, indicating an excessive dependence on oil that exposes the Iraqi economy to fluctuations.
The current global economic climate, characterized by geopolitical uncertainties and fluctuating energy demands, makes analyzing the impacts of oil price shocks more relevant than ever. A thorough analysis of oil price shocks is crucial for Iraq, as its economy remains heavily reliant on oil revenues, necessitating a deep understanding of external vulnerabilities. Quantifying the impact of fluctuating oil prices on Iraq's GDP, fiscal balance, and inflation rates allows policymakers to implement proactive stabilization measures. Understanding the transmission mechanisms of oil price shocks is crucial for diversifying Iraq's economy, reducing its dependence on a single commodity, and promoting sustainable growth.
This study investigated the factors that contribute to fluctuations in the global oil market, including economic, geopolitical, and climatic influences. Then, it analyses the consequences for the Iraqi economy, identifies the opportunities and challenges it faces due to its dependence on oil revenues, and proposes proactive strategies to help improve the situation after a sharp decline or increase in crude oil prices.
This study aims to demonstrate the impact of fluctuations and shocks in international oil markets on the Iraqi economy by examining this impact descriptively on 18 macroeconomic variables. Then, using three econometric models, the effect of these fluctuations on 11 macroeconomic variables was clarified. The capacity to accurately model and forecast the impact of oil price shocks empowers Iraq to navigate the turbulent global energy market with greater confidence and strategic foresight.
It is worth noting that the negative impact of crude oil price fluctuations is not limited to their decline but also extends to their rise. Periods of oil booms, during which crude oil prices rose, negatively impacted the Iraqi economy through the "Dutch Disease." Therefore, the relationship between global oil market fluctuations and the emergence of "Dutch Disease" symptoms was studied, as well as the impact of "Dutch Disease" on the traded commodity sectors, specifically the manufacturing and agricultural sectors. These sectors declined significantly due to the rise in oil revenues, which had a significant impact on the Iraqi economy.
Therefore, this study contributes to enriching the economic literature on the impact of oil price shocks and fluctuations in international oil markets on the Iraqi economy, particularly since there is a scarcity of studies addressing this field in developing countries, including Iraq, compared to developed countries. The importance of this work lies in clarifying the risks associated with the economy's dependence on constantly fluctuating oil revenues by examining the impact of fluctuations in crude oil markets on a broad range of macroeconomic variables in Iraq, spanning the periods from 1969 to 2023 for some variables and from 1996 to 2023 for others. The treatment of this large number of macroeconomic variables and these periods is a precedent for this thesis, as these variables have not been previously treated for these periods. The study also presented scenarios and recommendations to help economic policymakers address the repercussions of oil price fluctuations. These scenarios will help develop proactive strategies to address these fluctuations
Residents’ Quality Of Life In The Context Of Smart Cities [védés előtt]
Full text linkThe smart city (SC) concept emerged as a new trend to answer challenging issues related to urban development. It has been suggested that the focus of SCs is switching from infrastructure supply-oriented approaches to improving citizens’ quality of life and sustainability. Transformation of a city system into a smart system is meant to improve the quality of life (QoL) for its people and their way of living, its environment, economy, transportation, and governance. It has been argued that innovation for the sake of innovation is not smart, but rather that a SC is intertwined with and responsive to its community. A SC should be an urban area with accessible and secure ICT infrastructures, reliable and efficient physical infrastructures, productive and innovative economy, equal and inclusive society, sustainable and resilient environment, and participatory and transparent governance. Research confirms that the basis of smart cities is the combination of human capital, social capital, information, and communications technology infrastructure in order to generate economic development and improve the wellbeing and quality of life.
However, previous studies have often not focused specifically on quality of life and citizen-centric issues. It has been stated that smart cities did not always reach their objectives because they did not take into consideration the needs of citizens. One systematic review of SCs showed that research on humans was the least important (8.1%). Our study, therefore, focuses on defining and measuring the most important elements of quality of life for residents in a smart city. This Thesis presents its originality including both theoretical and practical values as following:
• Our Systematic Literature Review demonstrates the central importance of quality of life to smart cities. This research synthesized a valid measurement instrument based on six established domains of SC.
• The research examines critical domains of smart living, including housing, health, safety, education, environment, social cohesion, leisure, culture, and tourism, alongside their corresponding indicators. Through methodological review of previous studies, this research provides a foundational framework for smart city questionnaire design.
• Smart Living emerged as the most valued domain, followed by Smart People and Smart Mobility, while Smart Economy and Smart Governance ranked lowest. Although governance is central to strategic smart city management, it often remains invisible to residents. The main domains of smart living and their relevant indicators include housing, health, safety, education, environment, social cohesion, leisure, culture and tourism.
• The domains of quality of life (QoL) most closely related to tourism, namely transport, leisure, culture, atmosphere and the positive benefits of tourism, were given higher ratings than any others. In the districts where the impacts of tourism were considered to be more negative, residents nevertheless expressed appreciation for the leisure and cultural amenities available in their local area.
• Residents living in districts that are located in the so-called ‘party quarter’ discussed earlier (e.g. VI and VII) and in the heavily visited districts of V (where the Parliament building is located), I (the Castle area), and the increasingly popular District VIII (e.g. where the Hungarian National Museum is located) often rated the impacts of tourism as more negative. This is especially true of District VII (see Figure 3). On the other hand, these areas showed the highest ratings for cultural facilities and attractions.
• Citizens exhibit heightened positive attitudes and increased support for smart city initiatives when they perceive direct benefits to their lifestyle, local economic growth, infrastructure enhancement. The lowest-ranked issues in this research—economy, health, education, and housing—generally extend beyond the scope of city governance control.
• Our findings provide practical recommendations for urban planners and policy makers about that most important quality of life issues, the most preferred smart services, and gaps in residents’ needs and interests. The vision of Budapest becoming a smarter city is supported by the majority of residents (including elderly residents, but they are hesitant about using smart services). Residents appreciate utilitarian and functional smart services (e.g. e-ticketing or mobility apps)
Beyond Pace: Residents, Sustainability And Experience In Slow Tourism Research [védés előtt]
Full text linkThis dissertation explores the phenomenon of slow tourism, emphasizing the interconnected roles of residents, sustainability, and tourist experiences. The central research question is: What has academic research revealed about slow tourism and its practical applications, and how do residents and tourists influence its experiences and practices?
Structured as an article-based dissertation, the research comprises three complementary publications: a book chapter and two peer-reviewed journal articles. Together, these studies investigate slow tourism from conceptual, analytical, and empirical perspectives.
The first publication (B1) establishes the theoretical foundation of slow tourism by situating it within the Cittaslow movement and linking it to sustainability and the slow food philosophy, while adopting a multidisciplinary approach that draws on the slow movement, gastronomy studies, and urban governance.
The second publication (P1) conducts a systematic literature review of studies published between 2010 and 2021. The findings show that research has predominantly focused on the demand side - tourists’ perceptions, attitudes, and behaviors - while the supply side, particularly the role of residents, remains insufficiently addressed. The review maps recurring themes, methodological approaches, and geographical patterns, emphasizing the need to recognize residents as central actors in slow tourism. It also highlights the growing significance of slow tourism in Europe following the COVID-19 pandemic. It identifies Australia as another context where slow principles are firmly embedded, most visibly through slow food restaurants and festivals.
The third publication (P2) addresses this gap through an empirical analysis of user-generated content across multiple Cittaslow towns. It examines key dimensions of slow tourism - Social Interaction, Engagement, Intention to Revisit, or Electronic Word-of-Mouth (eWOM). Findings show that tourists frequently highlight positive emotions when describing interactions with residents, which strongly shape authenticity and meaningful experiences. This study also introduces “service experience” as a crucial aspect of engagement in slow tourism, an element overlooked mainly in earlier research.
Main contributions of the dissertation include: clarifying the conceptual foundations of slow tourism; identifying research gaps related to residents’ involvement; demonstrating how resident-tourist interactions influence authenticity, satisfaction, and loyalty; and introducing service experience as a new analytical dimension. Finally, this dissertation positions residents as a foundational pillar of slow tourism, demonstrating their essential role in co-creating sustainable, authentic, and memorable visitor experiences
Capability Well-being and Health: Monetary Valuation and Population Normative Data [védés előtt]
Full text linkSubjective well-being approach, a non-preference-based method, has been steadily gaining popularity for valuing non-market goods like quality-adjusted life year (QALYs). It is an approach that uses econometric regression analysis for the estimation of a shadow price for non-market goods. Moving beyond the QALY, capability instruments have in recent years been hailed for providing broader evaluative potential for measuring well-being. In this study, an estimation of the monetary value of a year in full capability (YFC) was calculated and compared to monetary value of a QALY for the Hungarian population. Another important element of healthcare that decision makers need to consider is the different patient groups and the general population. Population norms based on a large representative general population sample in Hungary will be presented to compare VAS and capability scores. Data for the study was obtained from a cross sectional, representative online survey on the Hungarian population (aged 18 and above). Socio-demographic data such as gender, age, level of education, employment status, marital status, monthly net household income, and household size were collected. Survey questions covered subjects of interest such as wellbeing, health, satisfaction, and happiness using standardized questionnaires namely: VAS, ICECAP-A, FSSQ, and SWLS. What was found was that health (VAS) and capability (ICECAP-A) and income had a positive and significant effect on SWB. The monetary value of one QALY and one YFC were 35 886 EUR and 52 883 EUR respectively. In terms of population norms, for the overall sample, the average ICECAP-A and VAS score is 0.7 (SD=2.23)
Gambling behavior through the lens of big data [védés előtt]
Full text linkThis dissertation explores gambling behavior through a multidisciplinary, data-intensive approach that integrates behavioral economics, machine learning, and financial modeling. The research critically reassesses established behavioral models, introduces novel methodological frameworks, and provides empirical insights into gambling decision mechanisms by leveraging newly collected, publicly available datasets derived from cryptocurrency-based online gambling platforms.
The work is structured into three interconnected studies. First, it challenges the well-known hot hand fallacy in gambling by replicating and critically examining previous findings, demonstrating that observed streak-dependent betting patterns can arise from methodological biases rather than true cognitive distortions. Second, it presents a machine learning framework that autonomously identifies and predicts problem gamblers without relying on self-reported labels. This approach uses unsupervised clustering to classify gambling intensity and supervised learning with automated model selection to predict problematic gambling behavior accurately across multiple time frames. Third, the research examines how Bitcoin’s price volatility and exchange rate fluctuations influence gambling behavior on the LuckyBit platform, revealing that higher Bitcoin prices increase risk-taking but reduce betting frequency, while higher volatility leads to more cautious wager sizes. Distinct behavioral responses among different gambler cohorts highlight the complex interaction of financial market dynamics and individual decision-making.
Together, these studies advance the literature by providing open, reproducible, and robust data-driven tools to understand gambling behaviors in digital environments. The findings emphasize the roles of market forces, personal risk preferences, and behavioral heterogeneity, offering valuable implications for policymakers and regulators aiming to enhance responsible gambling initiatives and consumer protections in the rapidly evolving online gambling landscape
Essays on Metric Spaces and Macro-Finance [védés előtt]
Full text linkThe dissertation framework consists of four chapters and it is written in essay format, where the aim is to perform a theoretical and quantitative analysis using mathematical concepts and macro-finance approaches. The dissertation presents evidence of two published papers in D1 (2024) and Q2 (2025) journals related to the topic of Chapter 2. and 4. We can see in every chapter a minimum problem, where the purpose is to reach an optimal minimum level. Chapter 1. introduces the main mathematical concepts in order to understand the second chapter of Mosco convergence in Cartan Alexandrov Topogonov or CAT(1)-space, where the reader could imagine a geometric shape (very similar to a geometric ball) with it’s important trigonometric angles, semi-convex functions, sequence of these functions and the associated gradient flows.
Chapter 2. relies on the mathematical concepts and characteristics from Chapter 1. and incorporates these mentioned features into the Mosco convergence of CAT(1)-space. Particularly, the Mosco convergence of a sequence of semi-convex lower semi-continuous function