6. Replica models
• The concept of replica means a facsimile
or an exact copy of original.
• Replica is also identified as establishment
of an exact copy of an existing
construction.
• Source : Mcmanus, R. L., (2016). An Analysis of Full-Scale, Ex Situ Replicas of World Heritage
Sites, Master Thesis, The graduated Faculty of The University of Georgia ,Athens.
• Adeniran, A., and Akinlabi, F., (2011). Perceptions on Cultural Significance and Heritage
Conservation: A case study of Sussan Wenger’s building, Osogbo, Nigeria, African Journal of
History and Culture, 3, (5),73- 88,
11. •
Source : Loureiro, S. M. C., Guerreiro, J., & Ali, F. (2020). 20 years of research on
virtual reality and augmented reality in tourism context: A text-mining approach.
Tourism Management, 77, 104028.
12. •
The Open Heritage
project
aim
preserve monuments
around the world in
3D and make them
available to the public.
a collaboration between
Google and an Oakland,
California-based
nonprofit called CyArk
— has posted online
realistic 3D models of 26
heritage locations in 18
countries
Source : https://all3dp.com/open-heritage-project-cyark-google-helps-preserve-monuments-3d
18. • Artificial Intelligence is defined as follow:
• Source: Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C.,
Crick, T., & Galanos, V. (2019). Artificial Intelligence (AI): Multidisciplinary
perspectives on emerging challenges, opportunities, and agenda for research,
practice and policy. International Journal of Information Management, 101994.
19. Current Use Potential Use
Hotels Robots Front desk robots House keeping robots
Concierge robots Laundry
Porter robots
Room assistant robots
Airports Robots Airport robot guide Self driving cars to
transport passengers
between the gates .Customer service robot
Bag drop robots
Entertainment robots
20. Current Use Potential Use
Restaurants Robots Robot Chef Dishwashing robot
Robot server
Travel agencies Robots None Robot guide.
Home digital assistant robot
linked to the website of
travel agency
Source: Ivanov, S. H., Webster, C., & Berezina, K. (2017). Adoption of robots and service automation by
tourism and hospitality companies. Revista Turismo & Desenvolvimento, 27(28), 1501-1517.
21.
22.
23.
24.
25.
26. Air port location Robot
name
Use
Incheon
Airport
South
Korea
Troika provide passengers with information on flights,
the weather and points of interest at the airport.
Shenzen
Airport
China Anbot a police robot with functions such as : patrol,
facial recognition, and emergency
management.
Schiphol
Airport
Netherlands Spencer guide passengers through the terminal to their
boarding gate.
Munich
Airport
Germany Josie
Pepper
receiving passengers, provide passengers with
information flight or about restaurants, shops or
other special features of the airport
Source:: https://www.ikusi.aero/en/blog/5-intelligent-robots-you-can-find-airports-world .
27.
28.
29.
30.
31.
32.
33. QR Codes, can be identified as a barcode type, containing a dots
matrix that can be scanned with any mobile device and with
scanning applications, that allow the conversion of the points in the
matrix into intelligible and useful characters.
Source :Tutunea, M. F. (2019). Qr Codes-Study Of Their Use In Tourism Advertising. The
USV Annals of Economics and Public Administration, 19(1 (29)), 162-171.
34. QR code can be very usable on the following
tourism areas
Museums and galleries and historical places
Accommodation sector and restaurants
Event information
46. The Features of Generation (Z)
- Generation Z (born in the late-1990s to early-2010s)
- By as early as 2020, this demographic group will make up the largest share of the global
population at 2.6 billion.
- They have grown up with technology .
- Fully integrated into digital world, entirely dependent on information technology (IT).
- Addicted to various online devices (especially smartphones).
- Always keep in touch with friends through social media networks.
- Easily adapt to technological developments.
- They spend a great deal of time on smart phones and accessing social media
(six to 16 hours per day).
- They are also more likely to travel independently .
- They visit places that are not yet known. (adventurous)
- increasing use of low-cost services .
Source : Setiawan, B., Trisdyani, N. L. P., Adnyana, P. P., Adnyana, I. N., Wiweka, K., & Wulandani, H. R. (2018). The
Profile and Behaviour of ‘Digital Tourists’ When Making Decisions Concerning Travelling Case Study: Generation Z in
South Jakarta. Advances in Research, 1-13.
OECD (2018), “Analysing Megatrends to Better Shape the Future of Tourism”, OECD Tourism Papers, No. 2018/02, OECD
Publishing, Paris.