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Fayzullaev, K., Heldt Cassel, S. & Brandt, D. (2018). Destination image in Uzbekistan – heritage of the Silk Road and nature experience as the core of an evolving Post Soviet identity. Service Industries Journal, 1-16
Åpne denne publikasjonen i ny fane eller vindu >>Destination image in Uzbekistan – heritage of the Silk Road and nature experience as the core of an evolving Post Soviet identity
2018 (engelsk)Inngår i: Service Industries Journal, ISSN 0264-2069, E-ISSN 1743-9507, s. 1-16Artikkel i tidsskrift (Fagfellevurdert) In press
Abstract [en]

ABSTRACTThe purpose of this research is to analyze the destination image of Uzbekistan presented by the DMO and the destinations images emerging from user generated content in social media posts. In this study, promotional images and user-generated images on the platform Instagram were examined by using content-semiotic analysis. The main findings show that the destination image of Uzbekistan is dominated by heritage and reference to ancient cultural traditions of the region. However, the image represented through user generated content on Instagram is more diverse and to a larger extent depict the destination through natural heritage and experiences in the natural landscape. Furthermore, Uzbekistan is concurrently trying to create a post-Soviet identity through a focus on its history prior to the Soviet past, with focus on heritage of the Great Silk Road which highlight that destination image construction is related to geo-political processes in society which includes contestations of national identity.

sted, utgiver, år, opplag, sider
Routledge, 2018
Emneord
Destination image, content-semiotic analysis, post-Soviet identity, tourism representations, the Great Silk Road, Uzbekistan
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-28534 (URN)10.1080/02642069.2018.1519551 (DOI)
Tilgjengelig fra: 2018-10-01 Laget: 2018-10-01 Sist oppdatert: 2019-05-22bibliografisk kontrollert
Elbe, J. & Brandt, D. (2018). Kurbits affärsutveckling 10 år: Vad tycker deltagarna?.
Åpne denne publikasjonen i ny fane eller vindu >>Kurbits affärsutveckling 10 år: Vad tycker deltagarna?
2018 (svensk)Rapport (Annet vitenskapelig)
Publisher
s. 17
Serie
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 2018:01
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-27641 (URN)
Tilgjengelig fra: 2018-05-07 Laget: 2018-05-07 Sist oppdatert: 2018-05-15bibliografisk kontrollert
Saqlain, M., Alam, M., Brandt, D., Rönnegård, L. & Westin, J. (2018). Stochastic differential equations modelling of levodopa concentration in patients with Parkinson's disease. In: : . Paper presented at The 40th Conference on Stochastic Processes and their Applications – SPA 2018, June 11-15 2018, Gothenburg.
Åpne denne publikasjonen i ny fane eller vindu >>Stochastic differential equations modelling of levodopa concentration in patients with Parkinson's disease
Vise andre…
2018 (engelsk)Konferansepaper, Poster (with or without abstract) (Annet vitenskapelig)
Abstract [en]

The purpose of this study is to investigate a pharmacokinetic model of levodopa concentration in patients with Parkinson's disease by introducing stochasticity so that inter-individual variability may be separated into measurement and system noise. It also aims to investigate whether the stochastic differential equations (SDE) model provide better fits than its ordinary differential equations (ODE) counterpart, by using a real data set. Westin et al. developed a pharmacokinetic-pharmacodynamic model for duodenal levodopa infusion described by four ODEs, the first three of which define the pharmacokinetic model. In this study, system noise variables are added to the aforementioned first three equations through a standard Wiener process, also known as Brownian motion. The R package PSM for mixed-effects models is used on data from previous studies for modelling levodopa concentration and parameter estimation. First, the diffusion scale parameter, σ, and bioavailability are estimated with the SDE model. Second, σ is fixed to integer values between 1 and 5, and bioavailability is estimated. Cross-validation is performed to determine whether the SDE based model explains the observed data better or not by comparingthe average root mean squared errors (RMSE) of predicted levodopa concentration. Both ODE and SDE models estimated bioavailability to be about 88%. The SDE model converged at different values of σ that were signicantly different from zero while estimating bioavailability to be about 88%. The average RMSE for the ODE model wasfound to be 0.2980, and the lowest average RMSE for the SDE model was 0.2748 when σ was xed to 4. Both models estimated similar values for bioavailability, and the non-zero σ estimate implies that the inter-individual variability may be separated. However, the improvement in the predictive performance of the SDE model turned out to be rather small, compared to the ODE model.

Emneord
levodopa, parkinson's disease, pharmacokinetic model, stochastic modelling, PSM.
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys, Allmänt Mikrodataaanalys - metod
Identifikatorer
urn:nbn:se:du-28268 (URN)
Konferanse
The 40th Conference on Stochastic Processes and their Applications – SPA 2018, June 11-15 2018, Gothenburg
Tilgjengelig fra: 2018-08-08 Laget: 2018-08-08 Sist oppdatert: 2018-12-17bibliografisk kontrollert
Brandt, D. (2018). Wage determinants in the Swedish tourism sector. Scandinavian Journal of Hospitality and Tourism, 18(1), 18-38
Åpne denne publikasjonen i ny fane eller vindu >>Wage determinants in the Swedish tourism sector
2018 (engelsk)Inngår i: Scandinavian Journal of Hospitality and Tourism, ISSN 1502-2250, E-ISSN 1502-2269, Vol. 18, nr 1, s. 18-38Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

A significant number of the jobs that are found in the tourism sector are relatively low-paying positions. The share of part-time employment is also large. This study focuses on individuals who have remained in the sector for many years and are making a career in tourism. The analysis is based on a balanced panel consisting of individuals who, between 2002 and 2011, lived and worked full time in the tourism industry in central Sweden. Data were analyzed using three different models; a cross-sectional OLS model was utilized for the analysis of the data from 2011 and both a pooled OLS model as well as a fixed-effect model were used in the analysis of data between 2002 and 2011. The fixed-effect model is important because it captures differences in ability among the individuals included in the study. The results show a lower income for individuals in the tourism sector compared to the rest of the economy. However, the results of the panel data estimations indicate that the effect of education is stronger for individuals in the tourism sector and that wage levels in this sector is more equal between the men and women, compared to the rest of the economy. 

Emneord
fixed-effect regression, pooled OLS regression, Sweden, tourism, Wage equation
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-23005 (URN)10.1080/15022250.2016.1206832 (DOI)000423735300002 ()2-s2.0-84982279882 (Scopus ID)
Tilgjengelig fra: 2016-09-01 Laget: 2016-09-01 Sist oppdatert: 2018-02-22bibliografisk kontrollert
Macuchova, Z. & Brandt, D. (2017). Vinterturismens utveckling 2012-2017: En kartläggning av gästnätternas fördelning och utveckling på kommunnivå i Dalarnas län. Borlänge: Högskolan Dalarna
Åpne denne publikasjonen i ny fane eller vindu >>Vinterturismens utveckling 2012-2017: En kartläggning av gästnätternas fördelning och utveckling på kommunnivå i Dalarnas län
2017 (svensk)Rapport (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Borlänge: Högskolan Dalarna, 2017. s. 19
Serie
Tema Turism
Emneord
Turism
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys, Allmänt Mikrodataaanalys - turism
Identifikatorer
urn:nbn:se:du-26507 (URN)
Tilgjengelig fra: 2017-11-07 Laget: 2017-11-07 Sist oppdatert: 2017-11-15bibliografisk kontrollert
Wikström, D., Brandt, D. & Heldt, T. (2016). A business intelligence solution of handling traveling data with R and Shiny. In: Fuchs, M., Lexhagen, M. & Höpken, W. (Ed.), Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain: . Paper presented at IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain, Östersund, Sweden, April 11-12, 2016.
Åpne denne publikasjonen i ny fane eller vindu >>A business intelligence solution of handling traveling data with R and Shiny
2016 (engelsk)Inngår i: Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain / [ed] Fuchs, M., Lexhagen, M. & Höpken, W., 2016Konferansepaper, Publicerat paper (Fagfellevurdert)
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-23617 (URN)978-91-88025-62-3 (ISBN)
Konferanse
IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain, Östersund, Sweden, April 11-12, 2016
Tilgjengelig fra: 2016-12-19 Laget: 2016-12-19 Sist oppdatert: 2018-01-13bibliografisk kontrollert
Brandt, D., Heldt, T. & Wikström, D. (2016). Potential research areas for big data in tourism. In: Fuchs, M., Lexhagen, M. & Höpken, W. (Ed.), Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain: . Paper presented at IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain. Östersund, Sweden, April 11-12, 2016.
Åpne denne publikasjonen i ny fane eller vindu >>Potential research areas for big data in tourism
2016 (engelsk)Inngår i: Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain / [ed] Fuchs, M., Lexhagen, M. & Höpken, W., 2016Konferansepaper, Publicerat paper (Fagfellevurdert)
Emneord
Business Intelligence, Big Data, Tourism
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys, Allmänt Mikrodataaanalys - turism
Identifikatorer
urn:nbn:se:du-23616 (URN)978-91-88025-62-3 (ISBN)
Konferanse
IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain. Östersund, Sweden, April 11-12, 2016
Tilgjengelig fra: 2016-12-19 Laget: 2016-12-19 Sist oppdatert: 2018-01-13bibliografisk kontrollert
Bohlin, M., Brandt, D. & Elbe, J. (2016). Tourism as a vehicle for regional development in peripheral areas – myth or reality?: A longitudinal case study of Swedish regions. European Planning Studies, 24(10), 1788-1805
Åpne denne publikasjonen i ny fane eller vindu >>Tourism as a vehicle for regional development in peripheral areas – myth or reality?: A longitudinal case study of Swedish regions
2016 (engelsk)Inngår i: European Planning Studies, ISSN 0965-4313, E-ISSN 1469-5944, Vol. 24, nr 10, s. 1788-1805Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In the contemporary so-called ‘competition state era’, many rural and peripheral regions are in decline. Tourism is increasingly viewed as being able to alleviate and rejuvenate regions that are facing economic difficulties. The European Union has launched several programmes with the goal of stimulating growth and employment in peripheral areas. These programmes are often used to support tourism development projects. In this paper, a longitudinal analysis of spatial changes in Swedish tourism is conducted. The analysis is based on statistics regarding overnight stays in Swedish commercial accommodation facilities. The aim is to investigate if tourism and tourism policy contribute to the reduction in disparities between regions. Although there are exceptions, the main findings indicate that the potential for creating sustainable rural tourism growth through tourism policy seems to be much less than the popular discourse suggests. © 2016 Informa UK Limited, trading as Taylor & Francis Group.

Emneord
clusters, regional policy, the EU, Tourism
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-23052 (URN)10.1080/09654313.2016.1194807 (DOI)000383249700004 ()2-s2.0-84983728047 (Scopus ID)
Tilgjengelig fra: 2016-09-08 Laget: 2016-09-08 Sist oppdatert: 2017-11-21bibliografisk kontrollert
Brandt, D. & Wikström, D. (2015). Education and careers in the Swedish tourism sector: How important is education for building a successful career?. In: : . Paper presented at 24th Nordic Symposium of Tourism and Hospitality Research. Responsible tourism? Reykjavik, Island 1-3 oktober 2015.
Åpne denne publikasjonen i ny fane eller vindu >>Education and careers in the Swedish tourism sector: How important is education for building a successful career?
2015 (engelsk)Konferansepaper, Oral presentation with published abstract (Fagfellevurdert)
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-20459 (URN)
Konferanse
24th Nordic Symposium of Tourism and Hospitality Research. Responsible tourism? Reykjavik, Island 1-3 oktober 2015
Tilgjengelig fra: 2015-12-18 Laget: 2015-12-18 Sist oppdatert: 2016-12-20bibliografisk kontrollert
Brandt, D. (2015). Wage determinants in the Swedish tourism sector 2002-2011. In: : . Paper presented at Global Growth Agendas: Regions, Institutions and Sustainability, Regional Studies Association Annual Conference 2015, 24th May - 27th May, 2015, Università Cattolica del Sacro Cuore, Piacenza, Italy.
Åpne denne publikasjonen i ny fane eller vindu >>Wage determinants in the Swedish tourism sector 2002-2011
2015 (engelsk)Konferansepaper, Oral presentation with published abstract (Fagfellevurdert)
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-20457 (URN)
Konferanse
Global Growth Agendas: Regions, Institutions and Sustainability, Regional Studies Association Annual Conference 2015, 24th May - 27th May, 2015, Università Cattolica del Sacro Cuore, Piacenza, Italy
Tilgjengelig fra: 2015-12-18 Laget: 2015-12-18 Sist oppdatert: 2015-12-18bibliografisk kontrollert
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-2051-7555