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Lecturer(s)
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Gajdošík Tomáš, doc. Ing. Ph.D.
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Course content
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Technological and climate change and crisis as a driver for smart development. Information technology and its impact on smart tourism development. Big and open data in tourism. Artificial intelligence and its application in tourism development. Intelligent tourism enterprises and data exchange between them. Smart cities. Smart tourism destinations and their management. Intelligent visitors in tourism, their requirements, and behavior. The impact of the smart concept on the sustainability, competitiveness, and resilience of tourism. National policies for smart tourism development.
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Learning activities and teaching methods
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unspecified
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| learning outcomes |
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| Knowledge |
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| Students will know the concept of smart development in tourism and its key elements, including technological, economic, and environmental aspects. |
| Students will know the concept of smart development in tourism and its key elements, including technological, economic, and environmental aspects. |
| They will gain knowledge of the impact of technological innovation and climate change on tourism and the ability to recognize the opportunities and challenges that these changes bring. |
| They will gain knowledge of the impact of technological innovation and climate change on tourism and the ability to recognize the opportunities and challenges that these changes bring. |
| Will be able to apply the latest findings from scientific research in the field of smart tourism development to solve specific problems at different levels, such as macro, regional or enterprise level. |
| Will be able to apply the latest findings from scientific research in the field of smart tourism development to solve specific problems at different levels, such as macro, regional or enterprise level. |
| They will gain knowledge of the impact of information technology and analytical methods, including big and open data, on the smart development of tourism and the ability to apply them in solving sustainability and competitiveness problems. |
| They will gain knowledge of the impact of information technology and analytical methods, including big and open data, on the smart development of tourism and the ability to apply them in solving sustainability and competitiveness problems. |
| They will have an awareness of the latest policies and strategies for smart tourism development abroad and the ability to reflect on their relevance and possible applications in the domestic context. |
| They will have an awareness of the latest policies and strategies for smart tourism development abroad and the ability to reflect on their relevance and possible applications in the domestic context. |
| Skills |
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| Students will be able to critically analyse different approaches to smart tourism development and actively participate in discussions, being able to formulate and defend their views. |
| Students will be able to critically analyse different approaches to smart tourism development and actively participate in discussions, being able to formulate and defend their views. |
| Gain skills in big data and information technology relevant to tourism, including the ability to collect, analyse and interpret data to support decision-making. |
| Gain skills in big data and information technology relevant to tourism, including the ability to collect, analyse and interpret data to support decision-making. |
| Gain skills in big data and information technology relevant to tourism, including the ability to collect, analyze and interpret data to support decision-making. |
| Gain skills in big data and information technology relevant to tourism, including the ability to collect, analyze and interpret data to support decision-making. |
| They will acquire the skills to work in a team and collaborate with other students to solve problems in the field of smart tourism development. |
| They will acquire the skills to work in a team and collaborate with other students to solve problems in the field of smart tourism development. |
| They will be able to strategically plan and formulate recommendations for intelligent tourism development based on a comprehensive understanding of key factors and influences. |
| They will be able to strategically plan and formulate recommendations for intelligent tourism development based on a comprehensive understanding of key factors and influences. |
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Recommended literature
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BUHALIS, D., TAHERI, T., RAHIMI, R. Smart Cities and Tourism. Co-creating experiences, challenges and opportunities.. London: Goodfellow publishers, 2023.
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GAJDOŠÍK, T. Smart Tourism Destination Governance. Technology and Design-Based Approach. Abingdon: Routledge, 2022. ISBN 978-1-032-21636-2.
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GRETZEL, U. Smart Tourism Development. In Tourism in Development.. Oxford: CABI, 2021. ISBN 9781789242812.
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KATSONI, V., SEGARRA-ONA, M. Smart Tourism as a Driver for Culture and Sustainability. Cham: Springer, 2019. ISBN 978-3-030-03909-7.
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SIGALA, M., RAHIMI, R., THELWALL, M. Big Data and Innovation in Tourism, Travel and Hospitality. Managerial Approaches, Techniques and Applications.. Cham: Springer, 2019. ISBN 978-981-13-6338-2.
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XIANG, Z., FESENMAIER, D. Analytics in Smart Tourism Design. Concepts and Methods.. Cham: Springer., 2016. ISBN 978-3-319-44262-4.
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