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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"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
Josef Mazanec, John C. Crotts, Dogan Gursoy, Lu Lu"Homogeneity versus heterogeneity of cultural values: An item-response theoretical approach applying Hofstede's cultural dimensions in a single nation"2015 in: Tourism Management. Volume: 48. Pages: 299 - 304
Abstract The focus of this study is threefold. First it tested the validity and reliability of a scale designed to measure Hofstede's five cultural dimensions at the individual or psychological level across two large (n > 500) convenience samples of the United States population. Once deemed an appropriate measure, the scale was applied to questions testing the homogeneity of the measures. The questions refer to the speed to which acculturation occurs within an immigrant population and the degree to which purported regional geographic differences constitute distinct cultural values as measured by Hofstede. Implications for tourism marketers as well as a call for future research are discussed.
Author(s): Josef Mazanec, John C. Crotts, Dogan Gursoy, Lu Lu
Publication date: 6. 2015
Pages: 299 - 304
Electronic version(s), related files and links: http://dx.doi.org/10.1016/j.tourman.2014.11.011
"Paul Bernecker – Austrian pioneer of the study of tourism"2015 in: Anatolia: An International Journal of Tourism and Hospitality Research. Volume: 26. Issue number: 3 Pages: 510-514
Author(s): Josef Mazanec
Publication date: 4. 2015
Issue number: 3
Electronic version(s), related files and links: http://dx.doi.org/10.1080/13032917.2015.1030061
"Significant word items in hotel guest reviews: A feature extraction approach"2015 in: Tourism Recreation Research. Volume: 40. Issue number: 3 Pages: 353-363
The Internet in general and social media in particular have changed the way travellers search for information, interact and communicate with companies and among their peers. Through social media, travellers are not only content consumers but also producers who provide detailed evaluations of their experiences in a destination. Given the abundance of hotel reviews, managers need cost effective, time saving and scalable systems to identify relevant customer evaluations. This text mining study presents insights into the analysis of reviews posted on TripAdvisor. A penalized Support Vector Machine identifies keywords representative for the most positive and negative reviews. These terms can be used as an early warning system by managers to efficiently monitor the online dialogue on their hotel. The benefit of the suggested approach is the selection of the most important terms regarding the weight of the term and not regarding mere term frequency.
Author(s): Astrid Dickinger, Josef Mazanec
Publication date: 2015
Issue number: 3
Electronic version(s), related files and links: http://dx.doi.org/10.1080/02508281.2015.1079964
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