miun.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Publications (10 of 97) Show all publications
Höpken, W., Müller, M., Fuchs, M. & Lexhagen, M. (2020). Flickr data for analysing tourists’ spatial behaviour and movement patterns: A comparison of clustering techniques. Journal of Hospitality and Tourism Technology, 11(1), 69-82
Open this publication in new window or tab >>Flickr data for analysing tourists’ spatial behaviour and movement patterns: A comparison of clustering techniques
2020 (English)In: Journal of Hospitality and Tourism Technology, ISSN 1757-9880, E-ISSN 1757-9899, Vol. 11, no 1, p. 69-82Article in journal (Refereed) Published
Abstract [en]

The purpose of this study is to analyse the suitability of photo-sharing platforms, such as Flickr, to extract relevant knowledge on tourists’ spatial movement and point of interest (POI) visitation behaviour and compare the most prominent clustering approaches to identify POIs in various application scenarios.

Keywords
Big data, Photo sharing, Flickr, Spatial movement patterns, DBSCAN, k-means clustering, Association rules, FP-growth, GSP, Sequential pattern mining
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-38604 (URN)10.1108/JHTT-08-2017-0059 (DOI)2-s2.0-85084918355 (Scopus ID)
Available from: 2020-03-09 Created: 2020-03-09 Last updated: 2020-06-02Bibliographically approved
Conti, E. & Lexhagen, M. (2020). Instagramming nature-based tourism experiences: a netnographic study of online photography and value creation. Tourism Management Perspectives, 34, Article ID 100650.
Open this publication in new window or tab >>Instagramming nature-based tourism experiences: a netnographic study of online photography and value creation
2020 (English)In: Tourism Management Perspectives, ISSN 2211-9736, E-ISSN 2211-9744, Vol. 34, article id 100650Article in journal (Refereed) Published
Abstract [en]

The purpose of this research is to explore the role of online photography in creating experience value in nature-based tourism, and what types of experience value are conveyed through photography-based user-generated content. The paper draws from existing literature in defining tourism experience value as a subjective, inter-subjective and inter-contextual construct, performed by situated valuation practices. Consequently, the paper presents interpretive and participatory netnography as an effective method to investigate experience value, and identifies online photography on Instagram as both a valuing practice and a valuing place. Results show the capability of online photography-based UGC to create multidimensional values from strategic combinations of textual and visual content. Simultaneously, new dimensions of experience value are introduced, which exist beyond single tourism experiential encounters, but critically contribute to an iterative experience valuation. Finally, Instagram posts introduce valuation timelines that can elude linear models of pre/in-situ/post-experience valuation, and assume subjective and fluid connotations.

Keywords
Netnography, Instagram, Nature-based tourism, National park, Experience value, Value co-creation, Online photography, Social media
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-38606 (URN)10.1016/j.tmp.2020.100650 (DOI)000531603800010 ()2-s2.0-85080134161 (Scopus ID)
Funder
Interreg Sweden-Norway, 20201307
Available from: 2020-03-09 Created: 2020-03-09 Last updated: 2020-05-29Bibliographically approved
Höpken, W., Eberle, T., Fuchs, M. & Lexhagen, M. (2019). Google Trends data for analysing tourists’ online search behaviour and improving demand forecasting: The case of Åre, Sweden. Information Technology & Tourism, 21(1), 45-62
Open this publication in new window or tab >>Google Trends data for analysing tourists’ online search behaviour and improving demand forecasting: The case of Åre, Sweden
2019 (English)In: Information Technology & Tourism, ISSN 1098-3058, E-ISSN 1943-4294, Vol. 21, no 1, p. 45-62Article in journal (Refereed) Published
Abstract [en]

Accurate forecasting of tourism demand is of utmost relevance for the success of

tourism businesses. This paper presents a novel approach that extends autoregressive

forecasting models by considering travellers’ web search behaviour as additional

input for predicting tourist arrivals. More precisely, the study presents a method

with the capacity to identify relevant search terms and time lags (i.e. time difference

between web search activities and tourist arrivals), and to aggregate these time

series into an overall web search index with maximal forecasting power on tourism

arrivals. The proposed approach enables a thorough analysis of temporal relationships

between search terms and tourist arrivals, thus, identifying patterns that reflect

online planning behaviour of travellers before visiting a destination. The study is

conducted at the leading Swedish mountain destination, Åre, using arrival data and

Google web search data for the period 2005–2012. Findings demonstrate the ability

of the proposed approach to outperform traditional autoregressive approaches, by

increasing the predictive power in forecasting tourism demand.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Google Trends data, Search word analysis, Online search pattern, Tourist arrival prediction, Autoregressive time series forecasting, Big data
National Category
Economics and Business
Identifiers
urn:nbn:se:miun:diva-35036 (URN)10.1007/s40558-018-0129-4 (DOI)000467723600005 ()2-s2.0-85064535365 (Scopus ID)
Available from: 2018-12-04 Created: 2018-12-04 Last updated: 2019-11-05Bibliographically approved
Conti, E. & Lexhagen, M. (2019). Investigating tourists’ valuations of nature-based experiences through online photography. In: : . Paper presented at 12th Consumer Behavior in Tourism Symposium, Brunico, Italy, 11-13 December 2019 Emotions in Tourism Research Reflecting on Methodological approaches..
Open this publication in new window or tab >>Investigating tourists’ valuations of nature-based experiences through online photography
2019 (English)Conference paper, Oral presentation with published abstract (Refereed)
Keywords
nature-based tourism, netnography, online photography, value
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-37867 (URN)
Conference
12th Consumer Behavior in Tourism Symposium, Brunico, Italy, 11-13 December 2019 Emotions in Tourism Research Reflecting on Methodological approaches.
Available from: 2019-12-04 Created: 2019-12-04 Last updated: 2020-01-30Bibliographically approved
Kronenberg, K., Fuchs, M. & Lexhagen, M. (2019). Socio-economic effects of tourism: An occupation-based modelling approach from Sweden. In: BOOK OF ABSTRACTS: Critical tourism studies. Paper presented at 8th Critical Tourism Studies Conference, "Pride and Prejudice: Que(e)rying Tourism Hope", Ibiza, 24-28 June, 2019.
Open this publication in new window or tab >>Socio-economic effects of tourism: An occupation-based modelling approach from Sweden
2019 (English)In: BOOK OF ABSTRACTS: Critical tourism studies, 2019Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Planners and developers in regions showing touristic activities are typically interested in measuring the economic impact of tourism (Dwyer et al. 2004; Klijs et al. 2012; Kim & Kim 2015). However, even ‘advanced’ economic impact models neglect major societal dimensions, such as income equality or the type and quality of occupations in the various tourism-related sectors (Mazumder et al. 2012; Kronenberg et al. 2018). While neo-classic economics is still representing the dominant paradigm (Dobusch & Kapeller 2009), economic impact models ‘fulfill’ their purpose in incorporating the assumptions of mainstream economics and in focusing on macro-level indicators related to economic growth (Elsner 2017). However, a growing body of literature starts criticizing mainstream economics’ modelling assumptions and its narrow view of ‘monetary reductionism’, thus hampering advanced approaches able to consider socio-economic effects (Söderbaum 2017). In their seminal paper on the Social Region, Moulaert & Nussbaumer (2005) argue that the focus of regional development theories should turn away from market competition towards concepts that effectively incorporate dimensions of a region’s social, political, cultural and community development. By doing so, the authors highlight various forms of inequality that typically impede the path towards the Social Region (ibid, 2005b).

Behind this background, the aim of this study is to propose a new approach that allows the measurement of tourism impact from a broader socio-economic perspective. In order to overcome the predominant growth focus, the study of tourism’s socio-economic impact comprises a macro as well as a meso level analysis and utilizes a mixed-method approach (Dopfer et al. 2004). More concretely, the macro level analysis of tourism’s socio-economic impact, first, includes the regionalization of the national Input-Output model to estimate primary and secondary employment and income effects for the Swedish region of Jämtland (Flegg & Tohmo 2011). In contrast to typical economic impact studies in tourism (Mazumder et al. 2012) and in order to estimate employment and income effects for various occupational domains individually and within various tourism-related sub-sectors, we extend the analysis by applying the occupation-based modelling (OBM) approach (Daniels et al. 2004). This approach allows estimating income inequalities and its variations over time (in our case from 2008 to 2015) for major tourism sectors, expressed by Gini coefficients and Lorenz curves, respectively (Lee & Kang 1998). Findings highlight that the incomes in the accommodation & food sector fall below the regional average - the lowest among all tourism-related industries. Interestingly, compared to others sectors (e.g. recreation & entertainment, retail), income inequality within this sector is relatively low (i.e. Gini coefficient = 0.15). However, growing coefficients are pointing at a negative trend over time: Between 2008 and 2013, the income of the top 15% earning occupations increased by 8%, while income of the bottom 15% earning occupations grew only by 1%. The latter occupations comprise seasonal workers, cleaning personal and kitchen assistants. We further analyze and critically discuss occupational developments and related income distributions (i.e. Gini coefficient trends) for major tourism-related sub-sectors of the Swedish region of Jämtland.

The second part of the analysis relates to the meso-level (Dopfer et al. 2004). A series of qualitative interviews with major regional industry and policy representatives (e.g. labor unions, hotel association, etc.) helped identifying potential reasons for variations in occupation and income developments in tourism. Findings show that large parts of low income workers stay in their job for only a short time, implying that newly employed workers are continuously hired at low (i.e. entry-level) wages. Furthermore, because of their expected short-term employment, tourism workers consider union memberships as unnecessary (Kjellberg 2017). Interestingly, the interviews helped identify also promising career opportunities showing steadily increasing income levels. These jobs, however, require higher educational profiles. Like in other branches, only higher education levels seem to overcome the low-income situation in tourism. To conclude, the interviewed industry-representatives perceived the proposed approach of occupation-based modelling and its related findings from measuring income inequalities particularly well. This gives reason for hope that in tourism regions new methods of socio-economic impact analysis will be implemented and institutionalized in the future. 

Keywords
Socio-economic impact, input-output modelling, occupation-based modelling, income inequality, Gini coefficients
National Category
Other Social Sciences
Identifiers
urn:nbn:se:miun:diva-38137 (URN)
Conference
8th Critical Tourism Studies Conference, "Pride and Prejudice: Que(e)rying Tourism Hope", Ibiza, 24-28 June, 2019
Available from: 2019-12-17 Created: 2019-12-17 Last updated: 2019-12-18Bibliographically approved
Lexhagen, M., Chekalina, T. & Lundberg, C. (2019). The ABBA fandom: - an online survey. Östersund: Mid Sweden University
Open this publication in new window or tab >>The ABBA fandom: - an online survey
2019 (English)Report (Other academic)
Place, publisher, year, edition, pages
Östersund: Mid Sweden University, 2019. p. 60
Series
Working paper - European Tourism Research Institute, ISSN 1650-4623 ; 1
Keywords
popular culture, music tourism, ABBA, fans
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-37512 (URN)
Available from: 2019-10-10 Created: 2019-10-10 Last updated: 2019-11-05Bibliographically approved
Lexhagen, M., Lundberg, C. & Chekalina, T. (2019). Traveling in the Footsteps of ABBA. Journal of Popular Culture, 52(6), 1408-1432
Open this publication in new window or tab >>Traveling in the Footsteps of ABBA
2019 (English)In: Journal of Popular Culture, ISSN 0022-3840, E-ISSN 1540-5931, Vol. 52, no 6, p. 1408-1432Article in journal (Refereed) Published
Keywords
tourism, ABBA, popular culture
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-37868 (URN)10.1111/jpcu.12859 (DOI)000505475300010 ()2-s2.0-85077291097 (Scopus ID)
Note

Denna artikel är friköpt för open access

Available from: 2019-12-04 Created: 2019-12-04 Last updated: 2020-01-16Bibliographically approved
Kronenberg, K., Fuchs, M. & Lexhagen, M. (2018). A multi-period perspective on tourism’s economic contribution : A regional input-output analysis for Sweden. Tourism Review, 73(1), 94-110
Open this publication in new window or tab >>A multi-period perspective on tourism’s economic contribution : A regional input-output analysis for Sweden
2018 (English)In: Tourism Review, ISSN 1660-5373, E-ISSN 1759-8451, Vol. 73, no 1, p. 94-110Article in journal (Refereed) Published
Abstract [en]

Purpose: Previous studies on tourism input-output (IO) primarily focus on a single year’s snapshot or utilize outdated IO coefficients. The purpose of this paper is to analyze the multi-period development of regional tourism capacities and its influence on the magnitude of the industry’s regional economic contribution. The paper highlights the importance of applying up-to-date IO coefficients to avoid estimation bias typically found in previous studies on tourism’s economic contribution.

Design/methodology/approach: For the period 2008-2014, national IO tables are regionalized to estimate direct and indirect economic effects for output, employment, income and other value-added effects. A comparison of Leontief inverse matrices is conducted to quantify estimation bias when using outdated models for analyzing tourism’s economic contribution.

Findings: On the one hand, economic linkages strengthened, especially for labour-intensive sectors. On the other hand, sectoral recessions in 2012 and 2014 led to an economy-wide decline of indirect effects, although tourists’ consumption was still increasing. Finally, estimation bias observed after applying an outdated IO model is quantified by approximately US$4.1m output, 986 jobs full-time equivalents, US$24.8m income and US$14.8m other value-added effects.

Research limitations/implications: Prevailing assumptions on IO modelling and regionalization techniques aim for more precise survey-based approaches and computable general equilibrium models to incorporate net changes in economic output. Results should be cross-validated by means of qualitative interviews with industry representatives.

Practical implications: Additional costs for generating IO tables on an annual base clearly pay off when considering the improved accuracy of estimates on tourism’s economic contribution.

Originality/value: This study shows that tourism IO studies should apply up-to-date IO models when estimating the industry’s economic contribution. It provides evidence that applying outdated models involve the risk of estimation biases, because annual changes of multipliers substantially influence the magnitude of effects.

Keywords
Tourism economic contribution, Estimation bias, Flegg location quotient, Multiplier analysis, Regional input-output model
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-32480 (URN)10.1108/TR-03-2017-0044 (DOI)000425284000007 ()2-s2.0-85040555668 (Scopus ID)ETOUR (Local ID)ETOUR (Archive number)ETOUR (OAI)
Available from: 2017-12-18 Created: 2017-12-18 Last updated: 2019-03-26Bibliographically approved
Hoepken, W., Fuchs, M. & Lexhagen, M. (2018). Big data analytics for tourism destinations. (4ed.). In: M. Khosrow-Pour (Ed.), Encyclopedia of Information Science and Technology : (pp. 349-363). IGI Global
Open this publication in new window or tab >>Big data analytics for tourism destinations.
2018 (English)In: Encyclopedia of Information Science and Technology  / [ed] M. Khosrow-Pour, IGI Global, 2018, 4, p. 349-363Chapter in book (Refereed)
Place, publisher, year, edition, pages
IGI Global, 2018 Edition: 4
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-32482 (URN)10.4018/978-1-5225-2255-3.ch031 (DOI)ETOUR (Local ID)ETOUR (Archive number)ETOUR (OAI)
Available from: 2017-12-18 Created: 2017-12-18 Last updated: 2019-01-18Bibliographically approved
Chekalina, T., Fuchs, M. & Lexhagen, M. (2018). Customer-based destination brand equity modelling: The role of destination resources, value-for money and value-in-use. Journal of Travel Research, 57(1), 31-51
Open this publication in new window or tab >>Customer-based destination brand equity modelling: The role of destination resources, value-for money and value-in-use
2018 (English)In: Journal of Travel Research, ISSN 0047-2875, E-ISSN 1552-6763, Vol. 57, no 1, p. 31-51Article in journal (Refereed) Published
Abstract [en]

This study contributes to the development of knowledge on transferring the concept of customer-based brand equity to a tourism destination context. Keller’s (2009) brand equity pyramid is utilized as the comparison framework to reveal similarities but also overlaps, differences and gaps on both the conceptual and measurement level of existing brand equity models for destinations. Particularly, the inner core of the model depicts the complex mechanisms of how destination resources transform into benefits for tourists overlooked by prior research. This study proposes a customer-based brand equity model for destinations, which consists of five dependent constructs, including awareness, loyalty, and three destination brand promise constructs constituting the inner core of the model, namely, destination resources, value-in-use and value-for-money. The model was repeatedly tested for the leading Swedish mountain destination Åre, by using a linear structural equation modelling approach. Findings confirm the path structure of the proposed model.

Place, publisher, year, edition, pages
Sage Publications, 2018
Keywords
destination branding, customer-based brand equity, destination resources, value-for-money, value-in-use, destination loyalty
National Category
Economic Geography
Identifiers
urn:nbn:se:miun:diva-29223 (URN)10.1177/0047287516680774 (DOI)000418175100003 ()2-s2.0-85038234083 (Scopus ID)ETOUR (Local ID)ETOUR (Archive number)ETOUR (OAI)
Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2019-02-22Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-6610-9303

Search in DiVA

Show all publications