Roman Egger
Biographic Data
| ID | 4628914 |
|---|---|
| NAME | Roman Egger |
| GIVEN NAMES | Roman |
| FAMILY NAME | Egger |
| SIGNATURE | EGGER R |
| AFFILIATIONS | MODUL University Vienna |
| ORCID | 0000-0003-4888-6026 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 107 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 5 |
Transformations in tourism following Covid-19? A longitudinal study on the perceptions of tourists
Purpose This study attempts to answer how values and holiday preferences were shaped by the pandemic, how travellers view the future of tourism and how they are willing to contribute to potential changes. Furthermore, it examines the impact of socio-structural background factors, basic values and holiday preferences, and pandemic-related factors on the views of post-pandemic tourism. Design/methodology/approach A longitudinal online survey was co…
The Sound of Reels
This study investigates sound features’ impact on user engagement in destination marketing short-form videos. Using acoustic scene analysis and the theory of interactive media effects, the research focuses on key audio metrics: chroma, zero-crossing, root mean square, onset strength, tempo, and pitch. Analysing a dataset of 11,451 reels across 141 countries, the findings reveal that acoustic complexity and onset strength negatively correlate with…
Decoding linguistic complexity in tourism studies
Epistemological challenges at data-theory intersection
The Art of Post Captions
In addition to the significance of visual content, text characteristics serve as salient factors influencing how users react to social media posts. By extracting 9,766 Instagram posts published by destination marketers, this research investigates the interplay between the readability of post captions and destination attributes derived from pictorial content on user engagement. Grounded in the theoretical lens of processing fluency and image-text …
What do you do or with whom? Understanding happiness with the tourism experience
More and more tourists are sharing their experiences on their social media through a combination of photos, texts, and hashtags. But there is a scarcity of studies in literature on analyzing tourists’ visual content in relation to tourism destinations. To address this gap in literature, this study explores how and with whom users express the greatest happiness in holiday destinations, and how they share it with their community, through a mixed me…
Gastronomic image in the foodstagrammer’s eyes – A machine learning approach
Applied Data Science in Tourism
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and Bertopic to Demystify Twitter Posts
The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on interpreting social phenomena. However, the short, text-heavy, and unstructured nature of social media content often leads to methodological challenges in both data collection and analysis. In order to…
Looking behind the scenes at dark tourism
Although scholars have discussed the topic of dark tourism from various angles, little is known from tourists’ perspectives. Thus, it remains largely unanswered whether the research agendas in the field of dark tourism also correspond to the reality of tourism or whether relevant topics remain unaddressed. This study uses natural language processing approaches to uncover the differences and similarities in knowledge between tourists and researche…
A machine learning approach to cluster destination image on Instagram
Symbols are powerful in branding and marketing to represent tourist attractions. By bridging semiotics, marketing, and data science in the tourism context, this study uncovers the destination image based on Instagram photographs. This study constructed a novel methodological framework by evaluating different machine learning models to group textual information based on pictorial content. The results highlighted specific destination image clusters…
Designing experiences in the age of human transformation
In the emerging transformation age, not only do experiences with transformational qualities happen by chance, but they are induced through intentional design. This study investigates the human gathering Burning Man, often stipulated as one of the world's most transformative large-scale experiences. Grounded in the theoretical lens of environmental psychology, a deep topological analysis was conducted based on Instagram data to analyse participant…
Color and engagement in touristic Instagram pictures
Color plays a critical role in recognizing tourist experiences and influencing their emotions. By classifying tourism photos on Instagram using machine learning, this study uncovers the relationship between color and user engagement based on pictures with different features. The findings show that the presence of the color blue in photos featuring natural scenery, high-end gastronomy, and sacral architectures contributes to user engagement. A red…
Travel risk perception and travel behaviour during the Covid-19 pandemic 2020
The study examined the relationship between perception of COVID-19, travel risk perception and travel behaviour among travellers in the DACH region (Germany, Austria, Switzerland) – an important tourism market and, after Italy, the second region in Europe that was impacted by COVID-19. Data were collected at two points of time: the sample of the study in Period 1 (n = 1158) was collected at a critical point in time in the beginning of March 2020,…
Virtual reality in tourism
Purpose Emerging technologies, such as virtual reality (VR), have been influencing both the tourism supply side and tourists alike. The purpose of this study is to analyse VR research in tourism and to provide a comprehensive state-of-the-art review. As the technological connotation of the term VR has been changing and encompasses various VR systems with different capabilities, this paper aims to provide a systematic and structured overview. The …
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and Bertopic to Demystify Twitter Posts
The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on interpreting social phenomena. However, the short, text-heavy, and unstructured nature of social media content often leads to methodological challenges in both data collection and analysis. In order to…
Color and engagement in touristic Instagram pictures
Color plays a critical role in recognizing tourist experiences and influencing their emotions. By classifying tourism photos on Instagram using machine learning, this study uncovers the relationship between color and user engagement based on pictures with different features. The findings show that the presence of the color blue in photos featuring natural scenery, high-end gastronomy, and sacral architectures contributes to user engagement. A red…
Designing experiences in the age of human transformation
In the emerging transformation age, not only do experiences with transformational qualities happen by chance, but they are induced through intentional design. This study investigates the human gathering Burning Man, often stipulated as one of the world's most transformative large-scale experiences. Grounded in the theoretical lens of environmental psychology, a deep topological analysis was conducted based on Instagram data to analyse participant…
A machine learning approach to cluster destination image on Instagram
Symbols are powerful in branding and marketing to represent tourist attractions. By bridging semiotics, marketing, and data science in the tourism context, this study uncovers the destination image based on Instagram photographs. This study constructed a novel methodological framework by evaluating different machine learning models to group textual information based on pictorial content. The results highlighted specific destination image clusters…
Gastronomic image in the foodstagrammer’s eyes – A machine learning approach
The Art of Post Captions
In addition to the significance of visual content, text characteristics serve as salient factors influencing how users react to social media posts. By extracting 9,766 Instagram posts published by destination marketers, this research investigates the interplay between the readability of post captions and destination attributes derived from pictorial content on user engagement. Grounded in the theoretical lens of processing fluency and image-text …
Looking behind the scenes at dark tourism
Although scholars have discussed the topic of dark tourism from various angles, little is known from tourists’ perspectives. Thus, it remains largely unanswered whether the research agendas in the field of dark tourism also correspond to the reality of tourism or whether relevant topics remain unaddressed. This study uses natural language processing approaches to uncover the differences and similarities in knowledge between tourists and researche…
Virtual reality in tourism
Purpose Emerging technologies, such as virtual reality (VR), have been influencing both the tourism supply side and tourists alike. The purpose of this study is to analyse VR research in tourism and to provide a comprehensive state-of-the-art review. As the technological connotation of the term VR has been changing and encompasses various VR systems with different capabilities, this paper aims to provide a systematic and structured overview. The …
Travel risk perception and travel behaviour during the Covid-19 pandemic 2020
The study examined the relationship between perception of COVID-19, travel risk perception and travel behaviour among travellers in the DACH region (Germany, Austria, Switzerland) – an important tourism market and, after Italy, the second region in Europe that was impacted by COVID-19. Data were collected at two points of time: the sample of the study in Period 1 (n = 1158) was collected at a critical point in time in the beginning of March 2020,…
A machine learning approach to cluster destination image on Instagram
Symbols are powerful in branding and marketing to represent tourist attractions. By bridging semiotics, marketing, and data science in the tourism context, this study uncovers the destination image based on Instagram photographs. This study constructed a novel methodological framework by evaluating different machine learning models to group textual information based on pictorial content. The results highlighted specific destination image clusters…
Designing experiences in the age of human transformation
In the emerging transformation age, not only do experiences with transformational qualities happen by chance, but they are induced through intentional design. This study investigates the human gathering Burning Man, often stipulated as one of the world's most transformative large-scale experiences. Grounded in the theoretical lens of environmental psychology, a deep topological analysis was conducted based on Instagram data to analyse participant…
Color and engagement in touristic Instagram pictures
Color plays a critical role in recognizing tourist experiences and influencing their emotions. By classifying tourism photos on Instagram using machine learning, this study uncovers the relationship between color and user engagement based on pictures with different features. The findings show that the presence of the color blue in photos featuring natural scenery, high-end gastronomy, and sacral architectures contributes to user engagement. A red…
Applied Data Science in Tourism
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and Bertopic to Demystify Twitter Posts
The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on interpreting social phenomena. However, the short, text-heavy, and unstructured nature of social media content often leads to methodological challenges in both data collection and analysis. In order to…
Looking behind the scenes at dark tourism
Although scholars have discussed the topic of dark tourism from various angles, little is known from tourists’ perspectives. Thus, it remains largely unanswered whether the research agendas in the field of dark tourism also correspond to the reality of tourism or whether relevant topics remain unaddressed. This study uses natural language processing approaches to uncover the differences and similarities in knowledge between tourists and researche…
Gastronomic image in the foodstagrammer’s eyes – A machine learning approach
What do you do or with whom? Understanding happiness with the tourism experience
More and more tourists are sharing their experiences on their social media through a combination of photos, texts, and hashtags. But there is a scarcity of studies in literature on analyzing tourists’ visual content in relation to tourism destinations. To address this gap in literature, this study explores how and with whom users express the greatest happiness in holiday destinations, and how they share it with their community, through a mixed me…
Decoding linguistic complexity in tourism studies
Epistemological challenges at data-theory intersection
The Art of Post Captions
In addition to the significance of visual content, text characteristics serve as salient factors influencing how users react to social media posts. By extracting 9,766 Instagram posts published by destination marketers, this research investigates the interplay between the readability of post captions and destination attributes derived from pictorial content on user engagement. Grounded in the theoretical lens of processing fluency and image-text …
Transformations in tourism following Covid-19? A longitudinal study on the perceptions of tourists
Purpose This study attempts to answer how values and holiday preferences were shaped by the pandemic, how travellers view the future of tourism and how they are willing to contribute to potential changes. Furthermore, it examines the impact of socio-structural background factors, basic values and holiday preferences, and pandemic-related factors on the views of post-pandemic tourism. Design/methodology/approach A longitudinal online survey was co…
The Sound of Reels
This study investigates sound features’ impact on user engagement in destination marketing short-form videos. Using acoustic scene analysis and the theory of interactive media effects, the research focuses on key audio metrics: chroma, zero-crossing, root mean square, onset strength, tempo, and pitch. Analysing a dataset of 11,451 reels across 141 countries, the findings reveal that acoustic complexity and onset strength negatively correlate with…
Tourism (12 works) · Geography (10 works) · Sociology (9 works) · Computer Science (8 works) · Diverse Aspects of Tourism Research (8 works) · Psychology (8 works) · Business (6 works) · Advertising (5 works) · Archaeology (5 works) · Digital Marketing and Social Media (5 works)