Daniel Dan
Short Bio
Projects
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TOURISM - Case-study on "Inner Areas" post COVID-19
The main objective is to use the "Carrying Capacity Methodology" developed in the ESPON TOURISM project to provide local stakeholders of the region Valchiavenna and the Regione Lombardia with the means to assess tourism trends in support of developing policies and action plans for the long-term and sustainable development of the local tourist industry. Further goals lie in the promotion, application and further development of the methodology and the dashboard to increase the attractiveness of the methodology for other possible case study destinations.
Organisations: MODUL University Vienna, School of Sustainability, Governance, and Methods, Research Center of New Media Technology
Author: Christian Weismayer, Sabine Sedlacek, Daniel Dan
Date: 24.02.2022 - 10.06.2022
Managed By: MODUL University Vienna
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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, School of Sustainability, Governance, and Methods, Department of Public Governance and Sustainable Development, School of Tourism and Service Management, Research Center 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
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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: School of Tourism and Service Management, MODUL University Vienna, Research Center 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: School of Tourism and Service Management
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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, Research Center of New Media Technology, School of Tourism and Service Management
Author: Lyndon Nixon, Astrid Dickinger, Sabine Sedlacek, Daniel Dan
Date: 01.07.2018 - 30.06.2021
Managed By: MODUL University Vienna
Research Output
- 2022
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"Frontiers:: Supporting Content Marketing with Natural Language Generation"2022 in: Marketing Science.
Advances in natural language generation (NLG) have facilitated technologies such as digital voice assistants and chatbots. In this research, we demonstrate how NLG can support content marketing by using it to draft content for the landing page of a website in search engine optimization (SEO).
Author(s): Martin Reisenbichler, Thomas Reutterer, David Schweidel, Daniel Dan
Publication date: 25. 2. 2022
Electronic version(s), related files and links: http://dx.doi.org/https://doi.org/10.1287/mksc.2022.1354
- 2021
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"Supporting Content Marketing with Natural Language Generation."2021
Author(s): Martin Reisenbichler, Thomas Reutterer, David Schweidel, Daniel Dan
Publication date: 2021
- 2020
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"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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"Benchmarking tourism destinations along their impact – effect dimensions"2020
Author(s): Sabine Sedlacek, Christian Weismayer, Daniel Dan
Publication date: 25. 8. 2020
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"Text Analytics for Marketing"2020
Author(s): Daniel Dan, Thomas Reutterer
Publication date: 2020
Publisher: Springer
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