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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Purpose: Previous studies on tourism input-output (IO) primarily focus on a single year’s snapshot or utilize outdated IO coefficients.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 A comparison of Leontief inverse matrices is conducted to quantify estimation bias when using outdated models for analyzing tourism’s economic contribution.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 Finally, estimation bias observed after applying an outdated IO model is quantified by approximately US$4.1m output, 986 jobs full-time equivalents, US$24.8m income and US$14.8m other value-added effects.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 ()ETOUR (Local ID)ETOUR (Archive number)ETOUR (OAI)
Available from: 2017-12-18 Created: 2017-12-18 Last updated: 2018-08-20Bibliographically 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: 2018-08-20Bibliographically approved
Mariani, M., Baggio, R., Fuchs, M. & Höpken, W. (2018). Business intelligence and big data in hospitality and tourism: A systematic literature review. International Journal of Contemporary Hospitality Management
Open this publication in new window or tab >>Business intelligence and big data in hospitality and tourism: A systematic literature review
2018 (English)In: International Journal of Contemporary Hospitality Management, ISSN 0959-6119, E-ISSN 1757-1049Article in journal (Refereed) Epub ahead of print
Abstract [en]

Purpose

This paper aims to examine the extent to which Business Intelligence and Big Data feature within academic research in hospitality and tourism published until 2016, by identifying research gaps and future developments and designing an agenda for future research.

Design/methodology/approach

The study consists of a systematic quantitative literature review of academic articles indexed on the Scopus and Web of Science databases. The articles were reviewed based on the following features: research topic; conceptual and theoretical characterization; sources of data; type of data and size; data collection methods; data analysis techniques; and data reporting and visualization.

Findings

Findings indicate an increase in hospitality and tourism management literature applying analytical techniques to large quantities of data. However, this research field is fairly fragmented in scope and limited in methodologies and displays several gaps. A conceptual framework that helps to identify critical business problems and links the domains of business intelligence and big data to tourism and hospitality management and development is missing. Moreover, epistemological dilemmas and consequences for theory development of big data-driven knowledge are still a terra incognita. Last, despite calls for more integration of management and data science, cross-disciplinary collaborations with computer and data scientists are rather episodic and related to specific types of work and research.

Research limitations/implications

This work is based on academic articles published before 2017; hence, scientific outputs published after the moment of writing have not been included. A rich research agenda is designed.

Originality/value

This study contributes to explore in depth and systematically to what extent hospitality and tourism scholars are aware of and working intendedly on business intelligence and big data. To the best of the authors’ knowledge, it is the first systematic literature review within hospitality and tourism research dealing with business intelligence and big data.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2018
Keywords
Big Data, Business Intelligence, systematic literature review, hospitality, tourism
National Category
Social Sciences
Identifiers
urn:nbn:se:miun:diva-33240 (URN)10.1108/IJCHM-07-2017-0461 (DOI)
Available from: 2018-03-12 Created: 2018-03-12 Last updated: 2018-11-14Bibliographically 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: 2018-02-22Bibliographically approved
Chekalina, T., Fuchs, M. & Lexhagen, M. (2018). Destination brand promise: The core of customer-based brand equity modeling. Tourism Analysis, 23(1), 93-107
Open this publication in new window or tab >>Destination brand promise: The core of customer-based brand equity modeling
2018 (English)In: Tourism Analysis, ISSN 1083-5423, E-ISSN 1943-3999, Vol. 23, no 1, p. 93-107Article in journal (Refereed) Published
Abstract [en]

The present study contributes to the discussion on transferring the concept of customer-based brand equity (CBBE) to a tourism destination context. The core component of the proposed CBBE model for tourism destinations (CBDBE) considers customers’ evaluation of the destination promise in terms of the transformation of destination resources into value-in-use for tourists. The introduced CBDBE model consists of six interdependent constructs, including awareness, tourists’ perception of functional, tangible and social destination resources, value-in-use disclosing the purpose and benefits of consumption, value-for-money, satisfaction and loyalty. The model was tested for the leading Swedish mountain destination Åre for the summer season by using customer-based survey data and a linear structural equation modelling (SEM) approach. Findings confirm the hypothesized relationships and the hierarchical structure of the proposed model. Managerial implications are discussed and the agenda for future CBDBE research is outlined.

Place, publisher, year, edition, pages
Cognizant Communication Corporation, 2018
Keywords
destination branding, customer-based brand equity model, brand promise, value-in-use, value co-creation, SEM
National Category
Economic Geography
Identifiers
urn:nbn:se:miun:diva-29230 (URN)10.3727/108354218X15143857349800 (DOI)000428987300007 ()2-s2.0-85044934274 (Scopus ID)ETOUR (Local ID)ETOUR (Archive number)ETOUR (OAI)
Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2018-08-20Bibliographically approved
Eber, Z. F., Baggio, R. & Fuchs, M. (2018). Hyperlink network analysis of a multi destination region: The case of Halland, South Sweden. Information Technology & Tourism
Open this publication in new window or tab >>Hyperlink network analysis of a multi destination region: The case of Halland, South Sweden
2018 (English)In: Information Technology & Tourism, ISSN 1098-3058, E-ISSN 1943-4294Article in journal (Refereed) Published
Abstract [en]

Over the past years, attention has been given to the relevance of network studies as an analytical tool to assess essential features of a tourism destination. This work analyzes the network of Halland County, a tourism destination in South Sweden. The study aims at enhancing the body of knowledge and the comprehension of the structural characterization of the tourism network, deriving indications for policy makers and local stakeholders in order to improve the effectiveness and efficiency of the regional tourism system. Tourism stakeholders’ websites were explored using hyperlink network analysis (Baggio, 2007; Raisi et al., 2017). Findings highlight the need for strengthened industry ties and contribute to the industry-wide discussion on exploring network topology as a key source of knowledge for destination management and development, respectively.

Keywords
Hyperlink network analysis, multi destination region, tourism websites, South Sweden
National Category
Social Sciences
Identifiers
urn:nbn:se:miun:diva-33172 (URN)10.1007/s40558-018-0108-9 (DOI)ETOUR (Local ID)ETOUR (Archive number)ETOUR (OAI)
Note

First Online: 07 March 2018

Available from: 2018-03-06 Created: 2018-03-06 Last updated: 2018-08-20Bibliographically approved
Godtman Kling, K., Margaryan, L. & Fuchs, M. (2018). (In) equality in the outdoors: gender perspective on recreation and tourism media in the Swedish mountains. Current Issues in Tourism
Open this publication in new window or tab >>(In) equality in the outdoors: gender perspective on recreation and tourism media in the Swedish mountains
2018 (English)In: Current Issues in Tourism, ISSN 1368-3500, E-ISSN 1747-7603Article in journal (Refereed) Epub ahead of print
Abstract [en]

This paper examines gender differences in participation in various outdoor recreation and tourism activities in the Swedish mountain region, and how these activities are portrayed from a gender perspective on the websites of five major tourist destinations. Spending time in nature has been linked to better health and well-being, and this article contributes to research on the unequal opportunities women and men have in taking part of such advantages. Results show that there is a gender difference in both participation and in representation of outdoor recreation. The observed gender difference is not only in line with the traditional heteronormativity but also suggests that new trends in outdoor recreation are further favoring traditionally masculine modes of engagement with nature. This suggests the need for re-thinking not only gender norms but also human relationships with nature in general.

Keywords
Outdoor recreation participation, gender norms, tourism media, Sweden
National Category
Social Sciences
Identifiers
urn:nbn:se:miun:diva-34143 (URN)10.1080/13683500.2018.1495698 (DOI)
Available from: 2018-07-09 Created: 2018-07-09 Last updated: 2018-08-17Bibliographically approved
Höpken, W., Eberle, T., Fuchs, M. & Lexhagen, M. (2018). Search engine traffic as input for predicting tourist arrivals.. In: Stangl Brigitte & Pesonen Juho (Ed.), Information and Communication Technologies in Tourism 2018: Proceedings of the International Conference in Jönköping, Sweden, January 24-26, 2018. Paper presented at Information and Communication Technologies in Tourism 2018 (pp. 381-393). New York: Springer
Open this publication in new window or tab >>Search engine traffic as input for predicting tourist arrivals.
2018 (English)In: Information and Communication Technologies in Tourism 2018: Proceedings of the International Conference in Jönköping, Sweden, January 24-26, 2018 / [ed] Stangl Brigitte & Pesonen Juho, New York: Springer, 2018, p. 381-393Conference paper, Published paper (Refereed)
Abstract [en]

Due to the perishable nature of tourism services and the limited capacity of tourism firms in serving customers, accurate forecasts of tourism demand are of utmost relevance for the success of tourism businesses. Nowadays, travellers extensively search the web to form expectations and to base their travel decision before visiting a destination. This study 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 corresponding tourist arrivals), and to aggregate these time series into an overall web search index with maximal effect on tourism arrivals. 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, thus, to increase the predictive power in forecasting tourism demand.

Place, publisher, year, edition, pages
New York: Springer, 2018
Keywords
Tourist arrival prediction, Web search traffic, Google Trends, Data Mining
National Category
Social Sciences
Identifiers
urn:nbn:se:miun:diva-33173 (URN)10.1007/978-3-319-72923-7_29 (DOI)ETOUR (Local ID)978-3-319-72922-0 (ISBN)978-3-319-72923-7 (ISBN)ETOUR (Archive number)ETOUR (OAI)
Conference
Information and Communication Technologies in Tourism 2018
Note

Awarded by the 1st place of Best Conference Paper

https://www.miun.se/en/ETOUR/nyheter/nyhetsarkiv/2018-2/enter-best-research-paper-award/

Available from: 2018-03-06 Created: 2018-03-06 Last updated: 2018-08-20Bibliographically approved
Kronenberg, K. & Fuchs, M. (2017). A dynamic perspective on tourism economic impacts: A regional Input-Output analysis for Jämtland – Sweden. In: Travel and Tourism Research Association (TTRA) Conference, European Chapter, Angers, France, 25-28 April: . Paper presented at Travel and Tourism Research Association (TTRA) Conference, European Chapter, Angers, France, 25-28 April, 2017.
Open this publication in new window or tab >>A dynamic perspective on tourism economic impacts: A regional Input-Output analysis for Jämtland – Sweden
2017 (English)In: Travel and Tourism Research Association (TTRA) Conference, European Chapter, Angers, France, 25-28 April, 2017Conference paper, Published paper (Refereed)
Keywords
tourism economic impact, input output analysis, regional multiplier
National Category
Social Sciences
Identifiers
urn:nbn:se:miun:diva-32455 (URN)
Conference
Travel and Tourism Research Association (TTRA) Conference, European Chapter, Angers, France, 25-28 April, 2017
Available from: 2017-12-14 Created: 2017-12-14 Last updated: 2018-01-04Bibliographically approved
Fuchs, M., Abadzhiev, A., Svensson, B. & Höpken, W. (2017). A knowledge-based paradigm for the governance of destination sustainability (1ed.). In: Harald Pechlaner, Peter Keller, Sabine Pichler, Klaus Weiermair (Ed.), Changing Paradigms in the Sustainable Mountain Tourism Research: Problems and Perspectives (pp. 13-42). Berlin: Erich Schmidt Verlag
Open this publication in new window or tab >>A knowledge-based paradigm for the governance of destination sustainability
2017 (English)In: Changing Paradigms in the Sustainable Mountain Tourism Research: Problems and Perspectives / [ed] Harald Pechlaner, Peter Keller, Sabine Pichler, Klaus Weiermair, Berlin: Erich Schmidt Verlag, 2017, 1, p. 13-42Chapter in book (Other academic)
Place, publisher, year, edition, pages
Berlin: Erich Schmidt Verlag, 2017 Edition: 1
Series
International Tourism Research and Concepts, ISSN 1862-9946 ; 7
Keywords
Knowledge destination, business intelligence, online analytical processing
National Category
Other Social Sciences
Identifiers
urn:nbn:se:miun:diva-30726 (URN)ETOUR (Local ID)9783503167692 (ISBN)ETOUR (Archive number)ETOUR (OAI)
Available from: 2017-05-11 Created: 2017-05-11 Last updated: 2017-12-18Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3964-2716

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