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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Tourism Management
  3. PhD in Tourism Management
  4. Course Structure Diagram with Credits
  5. Autonomous Governance and Algorithmic Decision-Making Models in Tourism
  6. Description
  • Description
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  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
TRZ653 - Autonomous Governance and Algorithmic Decision-Making Models in Tourism I. SEMESTER 3 +0 7.5
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DOÇ. DR. MUNE MOĞOL SEVER
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites -
Courses Recomended TRZ 436 AI in Tourism
Recommended Resources While there is no mandatory course material, all materials change each year and are shared with students in class.
Work Placement -
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Autonomization in Tourism: The transition from management to governance and the definition of autonomous systems.
Week - 2 Actor-Network Theory (ANT): Bruno Latour and Callon; The role of non-human agents (algorithms) in the system.
Week - 3 Algorithmic Management Theory Lee et al. (2015) - Control, monitoring and incentive mechanisms of algorithms.
Week - 4 Data-Driven Decision Making in Tourism: The mathematical foundations of big data analytics and optimization models.
Week - 5 Agentic AI and Service Design: The impact of autonomous artificial intelligence agents (Recommender Systems) on tourist behavior.
Week - 6 Algorithmic Pricing and Revenue Management: The ethical and competition law aspects of dynamic pricing algorithms.
Week - 7 Workforce and Algorithms
Week - 8 Midterm Exam
Week - 9 Service Robots and HCI
Week - 10 Algorithmic Bias and Ethics: The Risk of Personalization Turning into Discrimination (Bias) in Tourism.
Week - 11 Transparency and Accountability: "Black Box" Algorithms in Risk Management in Tourism Businesses.
Week - 12 Smart Destination Governance: Autonomous vehicles and crowd management in destination governance.
Week - 13 Mixed Methods Research Design: Integration of qualitative and quantitative data in algorithmic management research.
Week - 14 Future Scenarios: Post-humanist tourism management and fully autonomous business models.

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Final Exam 1 60
Practical Work 1 40
Toplam (%) 100

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