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Matthias Fuchs

Researcher at Mid Sweden University

Publications -  166
Citations -  4044

Matthias Fuchs is an academic researcher from Mid Sweden University. The author has contributed to research in topics: Tourism & Information system. The author has an hindex of 29, co-authored 159 publications receiving 3298 citations. Previous affiliations of Matthias Fuchs include University of Innsbruck & Vienna University of Economics and Business.

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e-Tourism beyond COVID-19: a call for transformative research

TL;DR: This viewpoint article argues that the impacts of the novel coronavirus COVID-19 call for transformative e-Tourism research, and presents six pillars to guide scholars in their efforts to transform e- Tourism through their research, including historicity, reflexivity, equity, transparency, plurality, and creativity.
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Big data analytics for knowledge generation in tourism destinations – A case from Sweden

TL;DR: This paper highlights how DMIS-Are can be used by tourism managers to gain new knowledge about customer-based destination processes focused on pre- and post-travel phases, like “ Web-Navigation ”, “ Booking ” and “ Feedback ”.
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Destination Benchmarking: An Indicator-System’s Potential for Exploring Guest Satisfaction

TL;DR: In this paper, an overview of latest benchmark approaches in tourism, an already existing Benchmarking Indicator System implemented by the Austrian Government in 1987 is discussed, and the authors critically assesses the neglect of relevant elements covering the production and delivery process of tourism services in this approach.
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Employee Satisfaction: Does Kano's Model Apply?

TL;DR: In this article, the authors investigate whether Kano's model of customer satisfaction also applies to employee satisfaction and report the findings of an empirical study in a pharmaceutical company using a regression analysis with dummy variables.
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Business intelligence and big data in hospitality and tourism : A systematic literature review

TL;DR: This article examined the extent to which Business Intelligence and Big Data feature within academic research in hospitality and tourism published until 2016, by identifying research ga... and identifying research topics related to big data.