Course descriptions

Touristic Information User Behaviour


Teachers: Varotsis NikosNew Window
Course Code: DIT105
Course Category: Specific Background
Course Type: Elective
Course Level: Postgraduate
Course Language: Greek
Semester: 1st
ECTS: 5
Teaching Hours: 3
E Class Webpage: https://opencourses.ionio.gr/courses/DTO246/
Short Description:

The course aims to provide an understanding of data, information, knowledge, information society, artificial intelligence, organizational learning, and digital co-creation, as well as knowledge management and information behavior in the modern tourism context. After completing the course, students will have a better understanding of the importance of knowledge management and information behavior models, as well as how to apply them in tourism.The course aims to provide an understanding of data, information, knowledge, information society, artificial intelligence, organizational learning, and digital co-creation, as well as knowledge management and information behavior in the modern tourism context. After completing the course, students will have a better understanding of the importance of knowledge management and information behavior models, as well as how to apply them in tourism.

Objectives - Learning Results:

After successfully completing the course, the student will be able to::

  • Recognize the fundamental ideas of knowledge and information management.
  • Understand the importance of knowledge management, intellectual capital, and information behavior in tourism.
  • To document the requirements for tourism information, knowledge-sharing media, and organizational learning.
  • Implement knowledge management models in tourism organizations and businesses.
  • Using information behavior models to analyze the hunt for satisfaction of tourist information demands.
  • Showcase their abilities to apply knowledge management and information-seeking behavior models.
Syllabus:

Week 1 - Introduction to information, concepts, information theory, information retrieval and selection, information systems and people, information and knowledge, information systems in tourism.

Week 2 - Digital tourism information environment, Information society, digital age. modern societies. technologies, economy and state in information society.

Week 3 - Reliability of information on the Internet, validity. search engines. social networks, artificial intelligence, e-government, dimensions of tourist information search behavior.

Week 4 - Digital Tourist, digital communities, innovation diffusion theory, search framework, virtuous cycle of the traveler, trends in tourism, digital tourism system, digital intermediaries.

Week 5 - Behavior, causes of behavior, economic behavior. rationality, limitations of rationality, biases, psychodynamic theory, behaviorism, prediction of behavior, dynamic systems.

Week 6 - Information searching, information seeking behavior, information behavior, historical review, information behavior, information behavior, information needs, motivations and use of information, certainty - uncertainty, reliability - validity, principle of least effort, social influence theory, information seeking scenarios, comparison of scenarios.

Week 7 - Models of information-seeking behavior, Krikelas model, Ellis model, Kuhlthau model, Savolainen model, Wilson model, comparison of Savolainen and Wilson models, summary of information-seeking behavior models.

Week 8 - Information behavior activities in tourism, digital tourism, tourist information, tourist information management, conceptual model of digital tourist, tourist information management.

Week 9 -Tourist information behavior models, Fodness & Murray model, strategic tourist information searches, influencing factors, tourist information sources, search time structure, search dimensions, critical approach.

Week 10 - Tourist information search strategy model, Zarezadeh et al. pattern, search dimensions, information selection factors, information search goals, information search forms, sources, strategic tourist information searches.

Week 11 - Stages of tourist information search, practical models of information search strategy, demographic characteristics relationships, situational factors shaping tourism perception, tourist information search.

Week 12 - Tourist perceptions & intentions model, C.A.N. model (cognitive-affective-normative), C.A.N. model practices, group tourism information retrieval behavior model, tourism website and application developers practices.

Week 13 - Tourism information service management, digital applications for smartphones, social networks, travel videography, e-W.O.M., tourism information satisfaction.

Recommended Bibliography:
  • Case, D.O. & Given, L.M. (2020), Looking for information: (4thEdition). Ed. Disigma.
  • Benckendorff P.J., Xiang Z., Sheldon P.J. (2023). Tourism Information Technology. BROKEN HILL PUBLISHERS LTD.
Teaching and Learning Methods:

As part of the course, lectures are provided using modern supervisory means, asynchronous platform is used on which material is provided to students, electronic synchronous and asynchronous communication with students.

Use of Information and Communication Technologies:
  • The open Eclass online platform provides support for the learning process.
  • Use of I.C.T. in Teaching
  • Use of I.C.T. in Communication with students
Grading and Evaluation Methods:

Final exam comprising:

- Short answer queries

- Multiple choice

- Comparative analysis of the elements of theory and case study

Assignment (3 topics of development and documentation in tourism entrepreneurship, tourism contracts, and cultural monument protection).                                                     

Students are informed of the evaluation criteria at the outset of the course.


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