Daniel Dan
Short Bio
Projects
-
Carrying 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
-
Qualifikationsnetzwerk "Smart Data Analytics für die Hotellerie"
The purpose of the qualification network is to teach employees of tourism businesses - especially accommodation providers - the use of data and advanced methods of analysis. Data management and analysis is considered a central element of digitalization in tourism and the added value of an efficient and effective data processing is given in the companies. The aim is to teach the state of research in a way that enables businesses to explore new sources of data and to link these sources to generate better information for decision-making. With this knowledge, businesses should be better able to accompany and to consult the guest during the whole "customer-journey". For this purpose, the scientific partners MODUL University Vienna and Technical University Vienna combine their expertise in the area of data management and tourism.
Organisations: Department of Tourism and Service Management, MODUL University Vienna, Department of New Media Technology
Author: Hannes Antonschmidt, Astrid Dickinger, Ulrich Gunter, Lyndon Nixon, Daniel Dan, Arno Scharl
Date: 01.07.2019 - 31.12.2020
Managed By: Department of Tourism and Service Management
-
EcoMove
EcoMove will develop new knowledge-based solutions for the efficient and environmentally sustainable movement of users in cities. This will be achieved by providing customised information about available mobility options in real time. Recommendations for delaying, avoiding or taking alternative mobilty options will be presented visually to the users - city inhabitants, visitors, and professional stakeholders - for the purpose of prioritizing "necessary" mobility. Vienna will be the city test case; the developed methods will be generic and the data collection will cover the entirety of Austria so that an extended application of the solutions to other regions as part of future projects will also be possible.
Organisations: MODUL University Vienna, Department of New Media Technology, Department of Tourism and Service Management
Author: Lyndon Nixon, Astrid Dickinger, Sabine Sedlacek, Daniel Dan
Date: 01.07.2018 - 30.06.2020
Managed By: MODUL University Vienna
Research Output
- 2020
-
"Benchmarking tourism destinations along their impact – effect dimensions"2020
Author(s): Sabine Sedlacek, Christian Weismayer, Daniel Dan
Publication date: 25. 8. 2020
-
"Text Analytics for Marketing"2020
Author(s): Daniel Dan, Thomas Reutterer
Publication date: 2020
Publisher: Springer
- 2019
-
"Spatial aspects of internal migration in Italy. A longitudinal approach."2019 in: Popolazione e storia. Volume: 20. Issue number: 1 Pages: 69-88
The paper investigates the internal migration in Italy between 1930 and 2010 in a longitudinal perspective. Risk and distances of migration of first and second order are analysed for people with age 20-49. Data are collected using an ad hoc CATI (Computer-Assisted Telephone Interviewing) system survey, involving around 2,000 respondents born and resident in Italy. A survival model is used for measuring risk of out-migration and OLS (Ordinary least squares) regression models for distance. The variables that emerge as most influencing the risk of migration are the subject’s place of residence and previous life-history. Migratory distance greatly depends on the migrants’ socio-economic background and reason for migrating. The main determinants of internal migration at individual level are education and having previously migrated at a younger age.
Author(s): Alessio Fornasin, Corrado Lagazio, Daniel Dan
Publication date: 2019
Volume: 20
Issue number: 1
Pages: 69-88
-
"The Journey of the Maps"2019 in: Journal of Information Technology & Tourism.
Author(s): Daniel Dan, Irem Önder
Publication date: 2019
-
"Cluster Analysis in Marketing Research"2019
This chapter gives an overview of the various approaches and methods for cluster analysis and links them with the most relevant marketing research contexts. We also provide pointers to the specific packages and functions for performing cluster analysis using the R ecosystem for statistical computing. A substantial part of this chapter is devoted to the illustration of applying different clustering procedures to a reference data set of shopping basket data. We briefly outline the general approach of the considered techniques, provide a walk-through for the corresponding R code required to perform the analyses, and offer some interpretation of the results.
Author(s): Thomas Reutterer, Daniel Dan
Publication date: 2019
Publisher: Springer
Electronic version(s), related files and links: http://dx.doi.org/https://doi.org/10.1007/978-3-319-05542-8_11-1
Load more results
