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Höpken, W., Fuchs, M. & Lexhagen, M. (2024). Analyzing tourism online reviews: An extended approach to hierarchical topic detection by keyword clustering. Tourism: An interdisciplinary Journal, 72(1), 7-19
Open this publication in new window or tab >>Analyzing tourism online reviews: An extended approach to hierarchical topic detection by keyword clustering
2024 (English)In: Tourism: An interdisciplinary Journal, ISSN 0494-2639, Vol. 72, no 1, p. 7-19Article in journal (Refereed) Published
Abstract [en]

Tourism managers are increasingly turning to the online sphere to gain relevant customer insights. However, current approaches to analyzing vast and rapidly changing user-generated content (UGC) face several limitations. Supervised approaches require significant effort to provide pre-tagged training data and cannot dynamically identify topics mentioned in UGC. On the other hand, unsupervised approaches typically do not support different abstraction levels or enable a successive refinement of analysis in a drill-down manner, which is often expected as a practical requirement of tourism and destination management. Our research objective is, therefore, to extend current supervised approaches for identifying predefined topics by adopting unsupervised approaches using cluster analysis. The results emphasize that unsupervised approaches can (1) detect non-predefined topics dynamically with an accuracy similar to supervised approaches, thus demonstrating the potential to replace them and avoid the necessity of providing pre-tagged training data. (2) To build a topic hierarchy, unsupervised approaches sense more fine-grained topics as an enhancement of predefined topics on a lower level of abstraction, enabling more powerful drill-down-like analyses. Overall, the proposed extended approach to topic detection promises to support tourism management by meaningfully analyzing the increasing mass of visitors’ online feedback. 

Place, publisher, year, edition, pages
HRČAK, 2024
Keywords
topic detection, topic hierarchy, keyword clustering, user-generated content, tourism online reviews
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-49864 (URN)10.37741/t.72.1.1 (DOI)
Available from: 2023-11-14 Created: 2023-11-14 Last updated: 2024-01-31Bibliographically approved
Kronenberg, K. & Fuchs, M. (2024). The Socio-economic impact of regional tourism: an occupation-based modelling perspective from Sweden. In: A sustainable tourism workforce: Current issues. New York: Routledge
Open this publication in new window or tab >>The Socio-economic impact of regional tourism: an occupation-based modelling perspective from Sweden
2024 (English)In: A sustainable tourism workforce: Current issues, New York: Routledge, 2024Chapter in book (Refereed)
Abstract [en]

Traditional measurements of tourism’s economic impact refer to primary and secondary effects that are typically quantified through input–output (IO) methodology. From a sustainable regional development perspective, however, economic impact analyses are criticised for their one-dimensional analysis focussing mainly on growth-oriented effects represented by aggregates for output, employment, income or tax. Although existing literature comprises various extensions of IO models, the focus of these models is restricted to indicators at a high aggregate level. Thus, distributional or other socio-economically important aspects related to the tourism workforce are seldom discussed. In our approach to study tourism’s impacts over a nine-year period, we consider macro-and meso-level perspectives and disaggregate tourism’s impact on regional employment and income for particular occupational areas in the Swedish region of Jämtland. Results indicate weakening employment effects; relatively low but increasing income-inequalities; and increasing shares of elementary positions with precarious working conditions despite para-industrial initiatives from tourism institutions to develop the industry. By enhancing traditional tourism economic impact methodology, we hope that our approach is supportive in putting the tourism workforce at the heart of the regional development and tourism sustainability discourse.

Place, publisher, year, edition, pages
New York: Routledge, 2024
Keywords
Socio-economic impact, regional tourism, input–output model, occupation-based modelling, income distribution, Gini coefficient, Lorenz curve
National Category
Social Sciences Economics Work Sciences
Identifiers
urn:nbn:se:miun:diva-50141 (URN)10.4324/9781003435457 (DOI)978-1-032-56416-6 (ISBN)978-1-003-43545-7 (ISBN)
Available from: 2023-12-20 Created: 2023-12-20 Last updated: 2023-12-28Bibliographically approved
Fuchs, M. (2023). A post-Cartesian economic and Buddhist view on tourism. Annals of Tourism Research, 103, Article ID 103688.
Open this publication in new window or tab >>A post-Cartesian economic and Buddhist view on tourism
2023 (English)In: Annals of Tourism Research, ISSN 0160-7383, E-ISSN 1873-7722, Vol. 103, article id 103688Article in journal (Refereed) Published
Abstract [en]

Insuperable socio-economic and ecological crises demonstrate the need to challenge economic growth ideology that is often embedded in contemporary tourism science. By borrowing from Buddhist philosophy this essay describes inconsistencies in economic theorizing due to its adoption of the Cartesian ontology implying a mechanistic thinking form. Following philosopher Brodbeck (2014), economic science is neither an empirically exact science nor value-free but represents an implicit ethics. To build on this, the elements of a post-mechanistic economic theory are sketched (Brodbeck, 2001). The applicability of this concept is corroborated by instances of current tourism research. After reinterpreting the homo economicus and the nature of money an agenda for a transformative tourism science building upon post-Cartesian economic thinking and Buddhist philosophy is elaborated.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Economic growth ideology, Post-Cartesian ontology, Post-mechanistic economic theory, Buddhist philosophy, Transformative tourism
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-49967 (URN)10.1016/j.annals.2023.103688 (DOI)001121287700001 ()2-s2.0-85177859791 (Scopus ID)
Available from: 2023-11-28 Created: 2023-11-28 Last updated: 2023-12-28Bibliographically approved
Peters, A. & Fuchs, M. (2023). A relational exploration of tourists’ environmental values and their perception of restrictions in protected nature. Journal of Sustainable Tourism, 1-18
Open this publication in new window or tab >>A relational exploration of tourists’ environmental values and their perception of restrictions in protected nature
2023 (English)In: Journal of Sustainable Tourism, ISSN 0966-9582, E-ISSN 1747-7646, p. 1-18Article in journal (Refereed) Epub ahead of print
Abstract [en]

In the face of the present ecological crisis, a relational understanding of human-nature relationships is increasingly critical, especially in protected nature areas. This understanding encompasses not only the values assigned to nature but also the environmental values that individuals hold and their impact on sense-making. We apply the Two Major Environmental Value scale, which allows for the classification of individuals into four environmental value groups along a broader spectrum. For the first time, we examine the scales’ explanatory power in the context of nature-based tourism in a protected area. Specifically, we explore the dynamic between different environmental value groups and their sense-making of the restrictions limiting access to nature in a Swedish nature reserve. Findings reveal significant differences in how visitors with varying environmental values perceive these restrictions. We introduce a newly identified value-based visitor group, i.e. the dualcentric environmental value group. Its perception of restrictions is found to be located between those of the biocentric and the anthropocentric group. Implications for how management should work towards creating transformative nature-based tourist experiences based on human-nature relationships are discussed along with an agenda for future research.

Place, publisher, year, edition, pages
Routledge, 2023
Keywords
Environmental values, relational value of nature, nature protected areas, perception of restrictions, nature-based tourism, human-nature relationships
National Category
Other Social Sciences
Identifiers
urn:nbn:se:miun:diva-50133 (URN)10.1080/09669582.2023.2295234 (DOI)001126564100001 ()2-s2.0-85179964458 (Scopus ID)
Available from: 2023-12-19 Created: 2023-12-19 Last updated: 2024-01-08Bibliographically approved
Fuchs, M. & Kronenberg, K. (2023). Assessing tourism’s contribution to build a circular economy: A case from Sweden. In: : . Paper presented at ATLAS Annual Conference 2023, Quality of Life: Health, Tourism and Climate, Bad Gleichenberg, Austria, October 10-13, 2023.
Open this publication in new window or tab >>Assessing tourism’s contribution to build a circular economy: A case from Sweden
2023 (English)Conference paper, Oral presentation with published abstract (Refereed)
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-50121 (URN)
Conference
ATLAS Annual Conference 2023, Quality of Life: Health, Tourism and Climate, Bad Gleichenberg, Austria, October 10-13, 2023
Available from: 2023-12-15 Created: 2023-12-15 Last updated: 2023-12-15Bibliographically approved
Höpken, W., Regitz, D., Liedtke, N. & Fuchs, M. (2023). Estimating Tourist Arrivals by User Generated Content Volume in Periods of Extraordinary Demand Fluctuations. In: Springer Proceedings in Business and Economics: . Paper presented at 30th Annual International eTourism Conference, ENTER 2023, 18 - 20 January, 2023 (pp. 221-242). Springer Nature
Open this publication in new window or tab >>Estimating Tourist Arrivals by User Generated Content Volume in Periods of Extraordinary Demand Fluctuations
2023 (English)In: Springer Proceedings in Business and Economics, Springer Nature, 2023, p. 221-242Conference paper, Published paper (Refereed)
Abstract [en]

In extraordinary situations, like the Covid-19 pandemic, irregular demand fluctuations can hardly be predicted by traditional forecasting approaches. Even the current extent of decline of demand is typically unknown since tourism statistics are only available with a time delay. This study presents an approach to benefit from user generated content (UGC) in form of online reviews from TripAdvisor as input to estimate current tourism demand in near real-time. The approach builds on an additive time series component model and linear regression to estimate tourist arrivals. Results indicate that the proposed approach outperforms a traditional seasonal naïve forecasting approach when applied to a period of extraordinary demand fluctuations caused by a crisis, like Covid-19. The approach further enables a real-time monitoring of tourism demand and the benchmarking of tourism business in times of extraordinary demand fluctuations. 

Place, publisher, year, edition, pages
Springer Nature, 2023
Keywords
Additive component model, Covid-19, Extraordinary demand fluctuations, Linear regression, Tourism demand forecasting, User generated content
National Category
Business Administration
Identifiers
urn:nbn:se:miun:diva-47784 (URN)10.1007/978-3-031-25752-0_25 (DOI)001025670500025 ()2-s2.0-85148735728 (Scopus ID)9783031257513 (ISBN)
Conference
30th Annual International eTourism Conference, ENTER 2023, 18 - 20 January, 2023
Note

(1st place at best paper award)

Available from: 2023-03-13 Created: 2023-03-13 Last updated: 2023-08-16Bibliographically approved
Fuchs, M. (2023). Overcoming the Neoliberal Creativity Discourse through Post-Cartesian Science Ontology and Buddhist Philosophy: A European Network Analytical Study in Tourism. In: : . Paper presented at The Regional Studies (RSA) Annual Conference, Ljubljana, Slovenia, 14-17 June, 2023.
Open this publication in new window or tab >>Overcoming the Neoliberal Creativity Discourse through Post-Cartesian Science Ontology and Buddhist Philosophy: A European Network Analytical Study in Tourism
2023 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Unbridgeable socio-economic and ecological global crises demonstrate the need to challenge the current neoliberal development discourse which links creativity to the primacy of global markets as a factor in place-competition. Despite its lack of validity and empirical support (i.e., Negative Trickle Down, Easterlin Paradox), this economic doctrine dominates contemporary human geography and tourism science. Hence, after briefly reviewing the changing notion of creativity throughout history of thinking, this presentation, first, highlights mainstream economics’ incapability to grasp the nature of creativity. It is shown that creativity possesses the capacity to transform any given economic decision-space characterized by economic theory as mechanistically pre-determined and closed into an undetermined and open cognitive space. Second, as an alternative to Cartesian science ontology inherent to mainstream economic science, Buddhist philosophy is introduced to overcome destructive economic thinking and to deduce the elements of a post-mechanist economic theory. Third, by elaborating on the idea that creativity represents the core economic activity within the boundaries of socio-communicative relationships, empirical network analysis is employed to assess network topologies of European tourism destinations. By applying the network metric Simmelian brokerage, it is shown how network-closure and structural-holes can favor the birth and diffusion of creative mindsets. Findings reveal that European tourism destinations show serious creativity gaps. Finally, the often-overlooked link between creativity and ethics is reflected by considering the intentions of the creator(s) and the consequences of the creative outcome for both the individual creator(s) as well as society at large.

National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-48584 (URN)
Conference
The Regional Studies (RSA) Annual Conference, Ljubljana, Slovenia, 14-17 June, 2023
Available from: 2023-06-22 Created: 2023-06-22 Last updated: 2023-06-22Bibliographically approved
Kronenberg, K. & Fuchs, M. (2023). Socio-economic impacts of tourism: Transitions to justice in tourism employment. In: : . Paper presented at 12th edition of the AsTRES multidisciplinary conference - Tourism and transitions, Tahiti, French Polynesia, 2-4 November, 2023.
Open this publication in new window or tab >>Socio-economic impacts of tourism: Transitions to justice in tourism employment
2023 (English)Conference paper, Oral presentation with published abstract (Refereed)
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-50122 (URN)
Conference
12th edition of the AsTRES multidisciplinary conference - Tourism and transitions, Tahiti, French Polynesia, 2-4 November, 2023
Available from: 2023-12-15 Created: 2023-12-15 Last updated: 2023-12-15Bibliographically approved
Wang, Z., Koroll, L., Höpken, W. & Fuchs, M. (2022). Analysis of Instagram Users’ Movement Pattern by Cluster Analysis and Association Rule Mining. In: J. L. Stienmetz et al. (Ed.), Information and Communication Technologies in Tourism: ENTER 2022. Paper presented at Information and Communication Technologies in Tourism, ENTER 2022, [DIGITAL], January 11-14, 2022. (pp. 97-109). Springer
Open this publication in new window or tab >>Analysis of Instagram Users’ Movement Pattern by Cluster Analysis and Association Rule Mining
2022 (English)In: Information and Communication Technologies in Tourism: ENTER 2022 / [ed] J. L. Stienmetz et al., Springer, 2022, p. 97-109Conference paper, Published paper (Refereed)
Abstract [en]

Understanding the characteristics of tourists’ movements is essential for tourism destination management. With advances in informationand communication technology, more and more people are willing to upload photos and videos to various social media platforms while traveling. These openly available media data is gaining increasing attention in the field of movement pattern mining as a new data source. In this study, uploaded images and their geographic information within Lake Constance region, Germany were collected and through clustering analysis,a state-of-the-art k-means with noise removal algorithm was compared with the commonly used DBSCAN on Instagram dataset. Finally, association rules between popular attractions at region-level and citylevelwere mined respectively. Results show that social media data like Instagram constitute a valuable input to analyse tourists’ movement patterns as input to decision support and destination management.

Place, publisher, year, edition, pages
Springer, 2022
Keywords
Movement pattern, Big data, Instagram, Crawling, DBSCAN, NK-MEANS, Association rule mining
National Category
Business Administration
Identifiers
urn:nbn:se:miun:diva-44732 (URN)10.1007/978-3-030-94751-4_10 (DOI)
Conference
Information and Communication Technologies in Tourism, ENTER 2022, [DIGITAL], January 11-14, 2022.
Available from: 2022-03-30 Created: 2022-03-30 Last updated: 2022-04-01Bibliographically approved
Höpken, W. & Fuchs, M. (2022). Artificial Neural Networks. In: Dimitrios Buhalis (Ed.), Encyclopedia of Tourism Management and Marketing: (pp. 187-189). Cheltenham: Edward Elgar Publishing
Open this publication in new window or tab >>Artificial Neural Networks
2022 (English)In: Encyclopedia of Tourism Management and Marketing / [ed] Dimitrios Buhalis, Cheltenham: Edward Elgar Publishing, 2022, p. 187-189Chapter in book (Refereed)
Place, publisher, year, edition, pages
Cheltenham: Edward Elgar Publishing, 2022
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-48577 (URN)978-1-80037-747-9 (ISBN)
Available from: 2023-06-22 Created: 2023-06-22 Last updated: 2023-06-22Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3964-2716

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