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Short Bio
Dr. Jason L. Stienmetz is an Assistant Professor of Tourism Information Technology and Digitalization for the Department of Tourism and Service Management, Modul University Vienna. His research interests include measuring, modeling, and managing tourism destination systems; marketing evaluation; visitor experience and value creation; “smarter” tourism management; and big data. Prior to joining academia, Dr. Stienmetz worked for the U.S. Travel Association and he is proud to have served as a Peace Corps volunteer in Costa Rica, where he was involved in a number of community-based projects related to eco-tourism, technology education, and micro-finance. Dr. Stienmetz serves on the editorial board of the Journal of Travel Research and the Journal of Information Technology and Tourism.
Research Output
- 2020
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"Leverage LEGO® Serious Play® to Embrace AI and Robots in Tourism"2020 in: Annals of Tourism Research. Volume: 81.
Author(s): Aarni Tuomi, Iis P. Tussyadiah, Jason L. Stienmetz
Publication date: 2020
Volume: 81
Electronic version(s), related files and links: http://dx.doi.org/10.1016/j.annals.2019.06.003
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"Managing the Structure of Tourism Experiences: Foundations for Tourism Design"2020 in: Journal of Destination Marketing & Management.
Author(s): Jason L. Stienmetz, Jeongmi (Jamie) Kim, Zheng Xiang, Daniel R. Fesenmaier
Publication date: 2020
Electronic version(s), related files and links: http://dx.doi.org/10.1016/j.jdmm.2019.100408
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"How Will Service Robots Redefine Leadership in Hotel Management? A Delphi Approach"2020 in: International Journal of Contemporary Hospitality Management.
Author(s): Shi Xu, Jason L. Stienmetz, Mark Ashton
Publication date: 2020
Electronic version(s), related files and links: http://dx.doi.org/10.1108/IJCHM-05-2019-0505
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"Applications and Implications of Service Robots in Hospitality"2020 in: Cornell Hospitality Quarterly.
Author(s): Aarni Tuomi, Iis P. Tussyadiah, Jason L. Stienmetz
Publication date: 2020
- 2019
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"Destination Value Systems: Modeling Visitor Flow Structure and Economic Impacts - Modeling Visitor Flow Structure and Economic Impact"2019 in: Journal of Travel Research. Volume: 58. Issue number: 8
This study proposes that the structure of visitor flows within a destination significantly influences the overall economic value generated by visitors. In particular, destination network metrics (i.e., density, in-degree centralization, out-degree centralization, betweenness centralization, and global clustering coefficient) for 29 Florida counties were derived from 4.3 million geotagged photos found on the photo sharing service Flickr and then correlated with visitor-related spending reported by the Florida Department of Revenue. The results of regression analyses indicate that density, out-degree centralization, and in-degree centralization are negatively correlated with total visitor-related spending within a destination, while betweenness centralization is found to have a positive relationship. Based on these findings, it is concluded that the economic value generated by tourism is constrained by the destination network structure of supply-side and demand-side interactions. Further, it is argued that a “network orchestrator” approach to management can be used to better manage economic impacts within a destination.
Author(s): Jason L. Stienmetz, Daniel R. Fesenmaier
Publication date: 2019
Volume: 58
Issue number: 8
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