Christian Weismayer studied Business Economics at the Vienna University of Economics and Business (WU) (1999-2011) and Technical Mathematics at the Leopold-Franzens University of Innsbruck (2003-2004). He holds a doctoral degree in social and economic sciences and was working at WU at the Institute for Tourism and Leisure Studies as a research associate from 2006 to 2011. Between 2011-2017 he was part of the Department of Applied Statistics and Economics, since 2017, he joins the Department of Sustainability, Governance, and Methods (SGM), both at MODUL University Vienna.
Within MODUL University, he is a member of the Sustainability Committee, the Studies and Examination Committee (in the past), liaison officer for the European Business School (ISAG) in Porto/Portugal, first aider and fire safety officer. He is responsible for the internal employee/student satisfaction surveys, SGM's website channel manager, and organizes Modul's Research Seminar Series.
He has been teaching/supervising theses at the (under-)graduate level at the Vienna University of Economics and Business (WU), University of Applied Sciences WKO Vienna (FHWien), University of Applied Sciences BFI Vienna, and was invited as a guest lecturer at UNIVALI (Santa Catarina, Brasil) and Federal University of Paraná (UFPR) (Curitiba, Brasil).
He participated in several projects, funded by the Anniversary Fund of the Austrian National Bank (OeNB), the Anniversary Fund of the City of Vienna, the Austrian Research Promotion Agency (FFG), Eurostat, ESPON - EGTC (European Observation Network for Territorial Development and Cohesion - European Grouping on Territorial Cooperation) and collaborations with Statistics Austria. He joins the scientific committe of the Brazilian Journal of Tourism Research (RBTUR), the editorial council of Tourism – Vision and Action (RTVA), and acts as a reviewer/session chair for several journals/conferences.
His research interests lie in the application and development of data mining techniques, e.g. growth mixture modeling (GGMM), latent transition analysis (LTA), multilevel analysis (MLA), structural equation modeling (SEM), item response theory (IRT), text mining approaches like latent semantic analysis (LSA), geographical information systems (GIS), and text based sentiment detection and emotion recognition to wellbeing- and tourism-related research questions.
Courses @ MU
- BSc/BBA: Mathematics and Statistics I+II, Marketing Research and Empirical Project
- MSc: Advanced Data Analysis and Decision Making; Research Design and Methods in Practice
- MBA (former semester): Data Analysis and Decision Making
2019 : Emerald Literati Award 2019 (Emerald Publishing)
Sabine Sedlacek, Christian Weismayer, Bozana Zekan, Ulrich Gunter, Daniel Dan, Lyndon NixonCarrying Capacity Methodology for Tourism
The overall goal of the service contract is to determine the carrying capacity in regions dominated by tourism. This will help local leaders in destinations to analyse and assess the impact of tourism in their regions based on indicators for the economic, social and environmental aspects affected. The focus will lie on big data, new technologies, artificial intelligence and high-performance computing. This needs to be conditioned for European tourist destinations. In the context of this service contract local, national and EU policies will be advised in managing and measuring carrying capacity in tourist destinations.
Organisations: MODUL University Vienna, Department of Sustainability, Governance, and Methods, Department of Public Governance and Sustainable Development, Department of Tourism and Service Management, Department of New Media Technology
Author: Sabine Sedlacek, Christian Weismayer, Bozana Zekan, Ulrich Gunter, Daniel Dan, Lyndon Nixon
Date: 11.11.2019 - 11.11.2020
Managed By: MODUL University Vienna
Ivo Ponocny, Christian Weismayer, Sabine SedlacekLiving conditions, quality of life, and subjective well-being in regions: A methodological pilot study with explorative interviewing and quantitative measurement
The economy is growing and growing. But is it growing in the right direction, too? Is the quantitative part the dominant goal or is there demand for a strengthened focus on a qualitative part of the overall development? The Easterlin Paradox suggests that material well-being does not automatically lead to increased happiness. Therefore it is very questionable whether it is possible to measure quality-of-life (QoL) just by taking indicators of material well-being into account. Obviously it is not, as latest research attempts tell us, that more and more effort is taken to fill this vacuum by indicators connected to the subjectively driven part of the story. But this other side of the coin has its handicaps too, as individual self-ratings of happiness are complex constructs influenced by momentary mood, uniqueness of the individual in perceiving life conditions, adaptation processes, and comparison processes based on varying anchor levels. Construct validation studies of subjective well-being (SWB) mainly have to deal with questions like ‘What kind of information can be derived from overall subjective self-ratings?’ This missing link is going to be clarified by cognitive interviewing. First of all, the principle aim is to investigate the respondent’s interpretation of the question itself and afterwards the interpretation of the responses to the questions at hand on the interviewer's side. In the end, responses should be based on improved item material on a lower abstract level that will ease the interpretation of the data collected by SWB questionnaires. After constructing a methodology mix of qualitative and quantitative research for evaluating regional living conditions, concrete concerns of inhabitants with various location-specific influences will be discovered, i.e. booming regions, areas with structural problems such as emigration of labor force or human capital, or geographic characteristics, as well as municipalities of special interest such as eco-villages, well-being regions, children-friendly communities or similar. One primary goal is to derive recommendations for local or national policy makers to most effectively increase the living conditions of citizens, and to help directing those interventions to address the concrete underlying problems or happiness drivers – such as immaterial patterns and green consumption behavior motivated by sustainability issues – of the local citizens. Finally, the optimization of the national average SWB may hopefully act as a major economic and political intention. MODUL University has launched an online questionnaire. The aim is to improve the assessment of how life is in our society and whether or to what extent people gain happiness and satisfaction. The questionnaire takes about 10 minutes contains questions about living conditions, quality of life and subjective well-being. It is about the quality of the local environment, about daily hassles and sorrows, and about many circumstances which may influence our daily mood. Material facts are considered as well as emotions, needs, experiences or basic attitudes towards life. Current international developments in official statistics (such as the “GDP and beyond movement” or the “Stiglitz report”) are the background of this study; the purpose is to provide better tools for assessing the well-being of people and in which way it could be improved. The questionnaire results derived from 1,460 respondents (914 paper-pencil, 546 online) are supported by 500 face-to-face interviews, more than 341 diaries and 20 group discussions at 10 different locations in Austria.
Organisations: MODUL University Vienna, Department of Applied Statistics and Economics, Department of Public Governance and Sustainable Development
Author: Ivo Ponocny, Christian Weismayer, Sabine Sedlacek
Date: 01.01.2011 - 30.11.2012
Managed By: MODUL University Vienna
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"Temporal variability of emotions in social media posts"2021 in: Technological Forecasting and Social Change. Volume: 167.
Employing the metadata from 627,632 Instagram posts for the Austrian capital city of Vienna over the period of October 30th, 2011 to February 7th, 2018, the present study extracts sentiment, as well as single basic emotions according to Plutchik’s Wheel of Emotions, from the photo captions including hashtag terms. In doing so, an algorithm falling into the category of dictionary-based approaches to study emotions contained in written text was developed and applied. Not only are the overall polarity and the single emotions contained in Instagram posts within Vienna investigated, but also the top 54 Viennese Instagram locations. A particular novelty of this study is the measurement of longitudinal developments from emotive text and the fine-grained analysis of single emotions in addition to the overall polarity. One crucial empirical result of the study is that more experience and self-confidence in Instagram posting, as well as increasing expectations, seem to result in becoming a more critical poster over time. Companies interested in the use of influencer marketing to promote their products and services via Instagram should take this finding into consideration in order to be successful.
Author(s): Christian Weismayer, Ulrich Gunter, Irem Önder
Publication date: 20. 2. 2021
Electronic version(s), related files and links: http://dx.doi.org/10.1016/j.techfore.2021.120699
"Consumers’ reasons and perceived value co-creation of using artificial intelligence-enabled travel service agents"2021 in: Journal of Business Research. Volume: 129. Pages: 891
Author(s): Lidija Lalicic, Christian Weismayer
Publication date: 2021
Melise de Lima Pereira, Francisco Antonio dos Anjos, Edar da Silva Añaña, Christian Weismayer"Modelling the overall image of coastal tourism destinations through personal values of tourists: A robust regression approach"2021 in: Journal of Outdoor Recreation and Tourism. Volume: 35.
Author(s): Melise de Lima Pereira, Francisco Antonio dos Anjos, Edar da Silva Añaña, Christian Weismayer
Publication date: 2021
Electronic version(s), related files and links: http://dx.doi.org/https://doi.org/10.1016/j.jort.2021.100412
"Applied Research in Quality of Life: A Computational Literature Review"2021 in: Applied Research in Quality of Life.
As quality of life (QoL) is a highly interdisciplinary topic with a multitude of related research areas, it is beneficial to avail researchers of an overview of the different streams explored in the field. Furthermore, knowledge of prominent sub-domains helps researchers identify links and overlaps between QoL and their fields of interest. To meet these needs, a text-mining-based computational literature review (CLR) of the journal of Applied Research in Quality of Life (ARQOL) was conducted using a machine learning process, latent Dirichlet allocation (LDA), in combination with selection criteria for the decision on the number of topics. The outcome provides the reader with a list of the twelve most heavily discussed topics: 1) consumption & materialism, 2) character strength, 3) spirituality, religiousness & personal beliefs, 4) inequality, 5) leisure & tourism, 6) health related QoL (HRQoL) I, 7) quality of working life (QWL), 8) childhood & adolescence, 9) disparity & development, 10) disorder, 11) community issues, and 12) health related QoL (HRQoL) II. In addition, authors, titles, and publication dates are listed for the top-5-ranked papers that most typify these topics. Subsequent content summaries of these papers reveal more detailed information, such as measurement constructs and theories.
Author(s): Christian Weismayer
Publication date: 2021
Electronic version(s), related files and links: http://dx.doi.org/10.1007/s11482-021-09969-9
Bernd Schuh, Martyna Derszniak-Noirjean, Roland Gaugitsch, Sabine Sedlacek, Christian Weismayer, Bozana Zekan, Ulrich Gunter, Daniel Dan, Lyndon Nixon, Tanja Mihalič, Kir Kuščer,, Miša Novak"Carrying capacity methodology for tourism - Final Report"2020
Author(s): Bernd Schuh, Martyna Derszniak-Noirjean, Roland Gaugitsch, Sabine Sedlacek, Christian Weismayer, Bozana Zekan, Ulrich Gunter, Daniel Dan, Lyndon Nixon, Tanja Mihalič, Kir Kuščer,, Miša Novak
Publication date: 11. 11. 2020
Publisher: ESPON EGTC
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