Turismo Inteligente

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Objectives

1. Understand intelligent tourism destinations and ecosystems and assess best practices globally;
2. Linking the concepts associated with smart cities with the elements related to the quality of life;
3. Understand the processes of Digital Transition in the tourism area by integrating sustainable strategies;
4. Identify opportunities and threats related to information technologies, Big data, competitive intelligence, and technological innovation in the various activities associated with tourism;
5. Understand ethical and social responsibilities in data management processes.

Program

1. Smart tourism destinations and ecosystems
2. Smart cities and quality of life
3. Digital transition in the area of services
4. Big data and competitive intelligence in tourism for knowledge generation
5. Technological innovation in the food and beverage
6. Information technology for hotels
7. Sustainable strategies for the tourism industry
8. Ethics and social responsibility in data management

Teaching Methodologies

The teaching-learning method is expositive, interrogative, and demonstrative. The theoretical-practical classes consist of presentation and discussion of scientific-pedagogical contents and practical cases. The group projects serve to explore different concepts and realities, promoting the practical participation and appreciation of students' skills, including improving collaborative work skills. The Moodle platform, a virtual group on a social network and other digital tools, supports UC's learning and communication processes. In classrooms that include contact hours in synchronous distance learning (up to 25%, i.e., 15 hours), learning tasks will be carried out within the Moodle platform (or another in use at UAc), stimulating engagement of students through, for example, the analysis of case studies or scientific articles.

The evaluation is performed through a written test (60%) and a group project (40%) or by examination (100%). 

Bibliography

- Buhalis, D. (2019). Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: a perspective article. Tourism Review, 75(1), 267-272.
- Buhalis, D., & Moldavska, I. (2021). In-room Voice-Based AI Digital Assistants Transforming On-Site Hotel Services and Guests'
- Experiences. In Information and Communication Technologies in Tourism. 2021 (pp. 30-44). Springer, Cham.
- Buhalis, D., Taheri, B., & Rahimi, R. (Eds.). (2022). Smart Cities and Tourism: Co-creating experiences, challenges and opportunities. Goodfellow.
- Del Vecchio, P., Mele, G., Ndou, V., & Secundo, G. (2018). Creating value from social big data: Implications for smart tourism destinations. Information Processing & Management, 54(5), 847-860.
- Gretzel, U. (2018). From smart destinations to smart tourism regions. Investigaciones Regionales, 42, 171-184.

Code

02016483

ECTS Credits

7.5

Classes

  • Teórico-Práticas - 60 hours

Evaluation Methodology

  • According to Teaching Methods: 100%