Research

slider3Roman Egger built up the tourism research department at the Salzburg University of Applied Sciences, of which he was head until 2010. He relinquished the leadership in order to be able to devote more time to his personal research interests. As a tourism researcher Egger is internationally aknowledged, his numerous scientific publications as well as the large number of conference contributions are proof of this. Recently, Egger has also increasingly devoted himself to topics that go beyond the tourism aspect.  At present, methodological issues are at the forefront of his work.

Also see the projects I do with my students

 

Current research foci are:

  • Computational Social Sciences in Tourism
  • Methods of Tourism Research
  • Data Science
  • Virtual Reality / Augmented Reality in the tourism and leisure sector
  • Gamification and Experience Design
  • The use of new technologies in the tourism and leisure sector
  • Open innovation, co-creation and crowdsourcing

Current research projects:

Travel search behaviour of Austria’s main tourism markets

In the last few months, dashboards were developed for the Austrian national tourism office, Vienna Tourism and Tyrol to visualise the development of Google search queries in the context of travel. For this purpose, a complex procedure was developed (you can view the project report here) to enable valid comparison of search results. The live dashboard of the Austrian National Tourist Office can be viewed at: https://www.austriatourism.com/oew-global/oew-global-dashboard/ (link Google search results). If your destination is also interested in such a dashboard, please contact me.

dashboard

 

Creating a tourist typology based on images

Tourists are multi-optional. One time they go to Croatia by camping bus, the other time to a 4* hotel in Tyrol for skiing. Once a shopping trip to London, then pilgrimage on the Way of St. James. How can such hybrid profiles be typologised and characterised? To solve this problem, a method was developed in which people select pictures (behind which are annotations that have been converted into a 100-dimensional vector, clustered with Louvain’s algorithm. This is followed by a dimensional reduction t-SNE or UMAP and a visualisation).

cluster

Um sich selbst zu „verorten“ können Sie das Tool hier ausprobieren.

 

Instagram – Cluster Map

Around 100,000 Instagram posts about Austria were analysed for the Austrian National Tourism Office. For this purpose, the images were crawled and analysed for hashtags specific to Austria. Clusters were created (multiple layers of k-Means) and visualised on a map in the dashboard. This allows the perceived customer perspective to be displayed geographically, which enables the destination to discover „blind spots“ in destination marketing. The paper „A Machine Learning Approach to Cluster Destination Image on Instagram“, will soon be published in the journal „Tourism Management“ (open access).

instadash2 instadash clusterexample