Melinda Jászberényi
Biographic Data
| ID | 8974745 |
|---|---|
| NAME | Melinda Jászberényi |
| GIVEN NAMES | Melinda |
| FAMILY NAME | Jászberényi |
| SIGNATURE | JÁSZBERÉNYI M |
| AFFILIATIONS | Corvinus University of Budapest |
| ORCID | 0000-0002-7839-5036 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Environmental Identity, Social Openness and Economic Support for Sustainable Festivals
As sustainability pressures intensify across the global event and tourism industries, this study examines how environmental identity and social openness shape visitors' willingness to pay more for sustainable festivals and whether attitudes toward specific sustainability practices mediate these relationships. Data were collected through an online survey among Hungarian festival visitors, resulting in a final sample of 350 respondents. The propose…
Museums as Catalysts for Sustainable Cultural Tourism
This article applies a four-pillar sustainability framework comprising cultural, environmental, social and economic dimensions, to assess 46 museums in the less-developed Hungarian counties of Szabolcs–Szatmár–Bereg and Borsod–Abaúj–Zemplén, thereby addressing a research gap, as previous studies have tended to focus on more developed regions. The results show that half the institutions do not have formal sustainability strategies, but many are im…
Restaurant consumer preferences towards seasonal and local ingredients in two Hungarian destinations
This article investigates and compares the restaurant preferences of Generation Z consumers visiting Lake Balaton and Greater Budapest (Hungary) to identify the subjective perceptions of seasonal and local ingredients in the restaurant industry. Preferences are examined through Q-methodology, with statements generated based on relevant literature. In the study, two distinct samples are employed with 49 consumers from Lake Balaton and 33 consumers…
Embracing or resisting AI? Mapping restaurant managers' views on AI-based front-of-house solutions
Purpose While artificial intelligence (AI) is rapidly evolving, its adoption in the hospitality sector – especially in restaurants – remains uncertain. Restaurant managers, as key decision-makers, are under-represented in current research. This study aims to identify distinct managerial preference groups and explore the drivers and barriers of AI adoption. Design/methodology/approach Using Q-methodology, a hybrid qualitative–quantitative techniqu…
Analysis of visitor experience in Hungarian museum context using the PLS-SEM algorithm
This article analyses the museum visitor experience through a quantitative questionnaire carried out at the Almásy Mansion Visitor’s Centre in Gyula, Hungary, using the PLS-SEM (partial least squares structural equation modeling) algorithm. The authors analysed the escapism dimension of Pine and Gilmore’s 4E model, suggesting refinement of the model in the context of museums. The aim of the research was to obtain a better understanding of the con…
Urban mobility scenarios until the 2030s
Urban mobility is particularly affected by technology development. This research focuses on the mobility system of cities in the foreseeable future – that is, until the 2030s. A systematic literature review (SLR) of 62 scientific documents and 52 scenarios predicted and developed by researchers are presented here, providing a comprehensive picture of current urban transport research perspectives. Based on a complex method built for this review, f…
The Family-Friendly Museum
According to studies on family leisure time, positive experiences with family members are the most important motivation factor for family leisure activities. In their traditional role, museums are cultural mediators, sources of information and research. However, as the needs of consumers with regards to museums are changing, institutions should instead focus on the opportunity to participate, learn and experience. The aim of our study is to ident…
No prominent works on this page.
Urban mobility scenarios until the 2030s
Urban mobility is particularly affected by technology development. This research focuses on the mobility system of cities in the foreseeable future – that is, until the 2030s. A systematic literature review (SLR) of 62 scientific documents and 52 scenarios predicted and developed by researchers are presented here, providing a comprehensive picture of current urban transport research perspectives. Based on a complex method built for this review, f…
The Family-Friendly Museum
According to studies on family leisure time, positive experiences with family members are the most important motivation factor for family leisure activities. In their traditional role, museums are cultural mediators, sources of information and research. However, as the needs of consumers with regards to museums are changing, institutions should instead focus on the opportunity to participate, learn and experience. The aim of our study is to ident…
Analysis of visitor experience in Hungarian museum context using the PLS-SEM algorithm
This article analyses the museum visitor experience through a quantitative questionnaire carried out at the Almásy Mansion Visitor’s Centre in Gyula, Hungary, using the PLS-SEM (partial least squares structural equation modeling) algorithm. The authors analysed the escapism dimension of Pine and Gilmore’s 4E model, suggesting refinement of the model in the context of museums. The aim of the research was to obtain a better understanding of the con…
Restaurant consumer preferences towards seasonal and local ingredients in two Hungarian destinations
This article investigates and compares the restaurant preferences of Generation Z consumers visiting Lake Balaton and Greater Budapest (Hungary) to identify the subjective perceptions of seasonal and local ingredients in the restaurant industry. Preferences are examined through Q-methodology, with statements generated based on relevant literature. In the study, two distinct samples are employed with 49 consumers from Lake Balaton and 33 consumers…
Embracing or resisting AI? Mapping restaurant managers' views on AI-based front-of-house solutions
Purpose While artificial intelligence (AI) is rapidly evolving, its adoption in the hospitality sector – especially in restaurants – remains uncertain. Restaurant managers, as key decision-makers, are under-represented in current research. This study aims to identify distinct managerial preference groups and explore the drivers and barriers of AI adoption. Design/methodology/approach Using Q-methodology, a hybrid qualitative–quantitative techniqu…
Environmental Identity, Social Openness and Economic Support for Sustainable Festivals
As sustainability pressures intensify across the global event and tourism industries, this study examines how environmental identity and social openness shape visitors' willingness to pay more for sustainable festivals and whether attitudes toward specific sustainability practices mediate these relationships. Data were collected through an online survey among Hungarian festival visitors, resulting in a final sample of 350 respondents. The propose…
Museums as Catalysts for Sustainable Cultural Tourism
This article applies a four-pillar sustainability framework comprising cultural, environmental, social and economic dimensions, to assess 46 museums in the less-developed Hungarian counties of Szabolcs–Szatmár–Bereg and Borsod–Abaúj–Zemplén, thereby addressing a research gap, as previous studies have tended to focus on more developed regions. The results show that half the institutions do not have formal sustainability strategies, but many are im…
Diverse Aspects of Tourism Research (3 works) · Tourism (3 works) · Computer Science (2 works) · Cultural Industries and Urban Development (2 works) · Digital Marketing and Social Media (2 works) · Engineering (2 works) · Geography (2 works) · Museums and Cultural Heritage (2 works) · Psychology (2 works) · Recreation, Leisure, Wilderness Management (2 works)