Josef Mazanec began his academic career at the Institute of Advertising and Market Research (WU). He also worked as a consultant to the National Advertising Agency Organisation. From 1971-1981 he was the Austrain delegate at the European Association of Advertising Agencies (EAAA). Subsequently, Prof. Mazanec served as the head of the Institute for Tourism and Leisure Studies (WU) from 1981-2010. In 1992, he was a visiting scholar at the Alfred P. Sloan School of Management, Massachusetts Institute of Technology (MIT) in Cambridge, Massachusetts.
Alongside his academic career he acted as a board member of the Association Internationale d'Experts Scientifiques du Tourisme (AIEST) from 1984-1994, as a member of the Tourist Research Centre, and founding member of the International Academy for the Study of Tourism (IAST). In addition, Prof. Mazanec was member of the Travel and Tourism Research Association, the American Marketing Association, and the American Marketing Academy. From 1981-1997 he held the position of Vice-President of the Austrian Society of Applied Research in Tourism. Also notable is his function as associate editor of the Annals of Tourism Research, a first-tier journal in the field of tourism.
During the period of 1996-2000 he was editor for Europe of Tourism Analysis and still holds positions as editorial board member of Tourism Economics, the Journal of Travel and Tourism Marketing, the International Journal of Contemporary Hospitality Management, the Journal of Modelling in Management and other media.
Prof. Mazanec was chief coordinator of the Special Research Program (SFB010) on 'Adaptive Systems and Modelling in Economics and Management Science' from 1997-2000. In addition, from 1997-2002, he was Vice-Rector for Research at WU.
His main research interests are in the areas of hospitality and tourism management, models of consumer & tourist behavior, strategic marketing and strategic planning, multivariate methods and neurocomputing, decision support systems, management science applications to travel & tourism.
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"Efficient Satisfaction Building: A Comparative Study of Ski Resorts"2020 Modul University Working Paper No. 8
Destination managers aim at increasing and maintaining visitor satisfaction. In this study the authors examine the levels of efficiency which ski resorts attain in pursuing this objective for a sample of 54 Austrian, French, German, Italian, and Swiss ski resorts based on a survey totaling 12.234 cases. Configurations of resort attributes lead to some level of overall satisfaction. An individual satisfaction item contributes to overall satisfaction depending on the simultaneous value of other items. Qualitative Comparative Analysis (QCA) is tailor-made for demonstrating the holistic effect of such item configurations. Data Envelopment Analysis (DEA) extracts the differences with regard to efficient satisfaction building and paves the way for resort bench-marking by proposing best-fitting bench-marking partners. As results indicate, destinations need not deliver top service quality in all satisfaction dimensions to achieve above average overall satisfaction.
Author(s): Bozana Zekan, Josef Mazanec
Publication date: 21. 9. 2020
Series information: Modul University Working Paper No. 8
"Quantitative Research Approaches to Tourism"2018 Pages: 34
Author(s): Josef Mazanec
Publication date: 2018
Publisher: SAGE Publications Ltd
Host publication editor(s): C. Cooper, S. Volo, W. Gartner, N. Scott
J. C. Crotts, J. A. Mazanec"Acculturation of Migrant Populations: An Exploratory Study Across Multiple Generations."2018 in: Tourism Culture & Communication. Volume: 18. Pages: 227
Author(s): J. C. Crotts, J. A. Mazanec
Publication date: 2018
"Determining Long-Term Change in Tourism Research Language With Text-Mining Methods"2017 in: Tourism Analysis. Volume: 22. Issue number: 1 Pages: 75-83
Are quantitative text mining methods sensitive enough to recognize change in the language of tourism research? The study of tourism is expected to have shifted focus during the past four decades, and this must be reflected in the abstracts of articles published in a journal of particularly long tradition. Two text mining methods are employed for analyzing change. They prove to be capable of detecting significant change in language between early and recent article abstracts. The study investigates discriminant word items and latent topic structures. The double approach with two computationally unrelated methods (penalized support vector machines and latent Dirichlet allocation) explores (a) single word items that differentiate between earlier and later article abstracts and (b) the relevance of latent topics underlying older and newer abstracts. The results advocate future qualitative analyses for pursuing the reasons and contents of change.
Author(s): Josef Mazanec
Publication date: 23. 3. 2017
Issue number: 1
Electronic version(s), related files and links: http://dx.doi.org/https://doi.org/10.3727/108354217X14828625279771
"Exploring the generalizability of discriminant word items and latent topics in online tourist reviews"2017 in: International Journal of Contemporary Hospitality Management. Volume: 29. Issue number: 2 Pages: 803-816
Purpose Online reviews have been gaining relevance in hospitality and tourism management and represent an important research avenue for academia. This study aims to illustrate the discrimination between positive and negative reviews based on single word items and the sector-specific relevance of hidden topics. Design/methodology/approach By probing two parallel approaches of entirely unrelated analytical methods (penalized support vector machines and Latent Dirichlet Allocation), the analysts explore differences in language between favorable and unfavorable reviews in three service settings (hotels, restaurants and attractions). Findings The percentage of correctly predicted positive and negative review reports by means of individual word items does not decrease if reports from the three tourism businesses are analyzed together. Originality/value However, there is limited generalizability of the discriminant words across the three businesses. Also, the latent topics relevant for generating customers’ review reports differ significantly between the three sectors of tourism businesses.
Author(s): Astrid Dickinger, Lidija Lalicic, Josef Mazanec
Publication date: 2017
Issue number: 2
Electronic version(s), related files and links: http://dx.doi.org/10.1108/IJCHM-10-2015-0597
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