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Träfflista för sökning "AMNE:(SAMHÄLLSVETENSKAP Ekonomi och näringsliv) ;lar1:(miun);pers:(Fuchs Matthias);pers:(Höpken W)"

Sökning: AMNE:(SAMHÄLLSVETENSKAP Ekonomi och näringsliv) > Mittuniversitetet > Fuchs Matthias > Höpken W

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1.
  • Fuchs, Matthias, et al. (författare)
  • Successfully selling accommodation packages at online auctions - The case of eBay Austria
  • 2011
  • Ingår i: Tourism Management. - : Elsevier BV. - 0261-5177 .- 1879-3193. ; 32:5, s. 1166-1175
  • Tidskriftsartikel (refereegranskat)abstract
    • In this era of e-commerce online auctions have emerged as a valuable distribution channel (). Displaying low entry and exit barriers but also vast coverage rates, online auctions may effectively augment the distribution potential of hotel businesses. This paper identifies those factors that positively affect the final price level obtained in online auctions for hotel room vouchers. Based on data gathered at eBay comprising 53,406 auctions, linear structural equation modelling (SEM) was conducted to identify significant relationships between auction characteristics and the obtained final price for hotel room vouchers. By drawing on these results and through an example of the Austrian eBay platform, selling strategies for successfully listing accommodation packages at online auctions are proposed.
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2.
  • Höpken, W., et al. (författare)
  • Estimating Tourist Arrivals by User Generated Content Volume in Periods of Extraordinary Demand Fluctuations
  • 2023
  • Ingår i: Springer Proceedings in Business and Economics. - Cham : Springer Nature. - 9783031257513 ; , s. 221-242
  • Konferensbidrag (refereegranskat)abstract
    • 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. 
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tidskriftsartikel (1)
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refereegranskat (2)
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Höpken, W (2)Ta bort avgränsningen
Fuchs, Matthias (1)Ta bort avgränsningen
Fuchs, Matthias, 197 ... (1)
Eybl, A (1)
Regitz, D. (1)
Liedtke, N. (1)
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