___

Abadicio, M. (2019, November 22). AI in the travel and tourism industry – Current applications. https://emerj.com/ai-sector-overviews/ai-travel-tourism-industry-current-applications/

Abu Shawar, B., & Atwell, E. (2007). Chatbots: Are they really useful?. LDV-Forum, 22(1), 29–49.

Alom, M. Z., Taha, T. M., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M. S., … Asari, V. K. (2019). A state-of-the-art survey on deep learning theory and architectures. Electronics, 8, 292, 1–66. https://doi.org/10.3390/electronics8030292

Alpaydin, E. (2014). Introduction to machine learning (Third Ed.). The MIT Press.

Ang, B. (2016, February 07). Robot Lucy at your service at newly opened Rong Heng Seafood. https://www.straitstimes.com/lifestyle/food/robot-lucy-at-your-service-at-newly- opened-rong-heng-seafood

Assaf, A. G., & Tsionas, M. G. (2019). Forecasting occupancy rate with bayesian compression methods. Annals of Tourism Research, 75, 439–449. https://doi.org/10.1016/j.annals.2018.12.009

Barry, C., & Pele, C. (2018, April 02). Meet Italy’s robot concierge. https://www.stuff.co.nz/travel/news/102771691/meet-italys-robot-concierge

Berezina, K., Ciftci, O., & Cobanoglu, C. (2019). Robots, Artificial Intelligence, and Service Automation in Restaurants. In S. Ivanov & C. Webster (Eds.), Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality (pp. 185–219). Emerald Publishing Limited.

Berliner, H. J., & Ebeling, C. (1990). Hitech. In T. A. Marsland & J. Schaeffer (Eds.), Computers, Chess, and Cognition (pp. 79–109). Springer.

Buchanan, B., Sutherland, G., & Feigenbaum, E. A. (1969). Heuristic DENDRAL - A program for generating explanatory hypotheses in organic chemistry. In B. Meltzer & D. Michie (Eds.), Machine Intelligence 4 (pp. 209–254). Edinburgh University Press.

CAICT. (2018). 2018 world artificial intelligence industry development blue book. http://www.caict.ac.cn/kxyj/qwfb/bps/201809/P020180918696200669434.pdf

Chen, H. (2019). Success factors impacting artificial intelligence adoption --- Perspective from the telecom industry in China. [Unpublished Doctoral Dissertation]. Department of Business Administration-Information Technology, Old Dominion University.

Chen, K. Y., & Wang, C. H. (2007). Support vector regression with genetic algorithms in forecasting tourism demand. Tourism Management, 8(1), 215–226. https://doi.org/10.1016/j.tourman.2005.12.018

Chen, R., Liang, C. Y., Hong, W. C., & Gu, D. X. (2015). Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm. Applied Soft Computing Journal, 26, 435–443. https://doi.org/10.1016/j.asoc.2014.10.022

Cheong, A., Lau, M. W. S., Foo, E., Hedley, J., & Bo, J. W. (2016). Development of a robotic waiter system. IFAC-PapersOnLine, 49(21), 681–686. https://doi.org/10.1016/j.ifacol.2016.10.679

Chestler, D. (2016). The future is now: How robots are storming the travel industry. https://www.siteminder.com/r/trends-advice/hotel-travel-industry-trends/future-robots-storming- travel-industry/

CHIP Online. (2018, March 2018). Divan İstanbul’da akıllı otel deneyimi yaşanıyor. https://www.chip.com.tr/haber/divan-istanbulda-akilli-otel-deneyimi-yasaniyor_74904.html

Chow, W. S., Shyu, J. C., & Wang, K. C. (1998). Developing a forecast system for hotel occupancy rate using integrated ARIMA models. Journal of International Hospitality, Leisure & Tourism Management, 1(3), 55–80. https://doi.org/10.1300/J268v01n03_05

Clarke, R. (2014). Understanding the drone epidemic. Computer Law and Security Review, 30(3), 230–246. https://doi.org/10.1016/j.clsr.2014.03.002

Claveria, O., Monte, E., & Torra, S. (2015). Tourism demand forecasting with neural network models: Different ways of treating information. International Journal of Tourism Research, 17, 492–500. https://doi.org/10.1002/jtr.2016

CRM Medya Turizm. (2020, November 18). Otelcilik Sektöründe Yapay Zeka Uygulamaları. https://www.crmturizm.com/otelcilik-sektorunde-yapay-zeka-uygulamalari/

Crook, J. (2014, August 13). Starwood introduces robotic butlers at aloft hotel in Cupertino. https://techcrunch.com/2014/08/13/starwood-introduces-robotic-butlers-at-aloft-hotel- in-palo-alto/#:~:text=Starwood%2C%20one%20of%20the%20world's,around%20guests%20and%20use%20elevators

Davis, L. K. (2016, March 9). Hilton and IBM pilot “Connie,” The world’s first Watson-enabled hotel concierge robot. https://www.ibm.com/blogs/watson/2016/03/watson-connie/

Deloitte. (2018). Global artificial intelligence industry whitepaper. https://www2.deloitte.com/cn/en/pages/technology-media-and-telecommunications/articles/global-ai- development-white-paper.html#

Donaire, J. A., Galí, N., & Gulisova, B. (2020). Tracking visitors in crowded spaces using zenith images: Drones and time-lapse. Tourism Management Perspectives, 35, 100680. https://doi.org/10.1016/j.tmp.2020.100680

Elkins, K. (2015, May 07). This restaurant has a new secret weapon: A robot that slices the perfect noodle faster than any human. https://www.businessinsider.in/This-restaurant- has-a-new-secret-weapon-a-robot-that-slices-the-perfect-noodle-faster-than-any-human/articleshow/47188856.cms

Fesenmaier, D. R., Xiang, Z., Pan, B., & Law, R. (2011). A framework of search engine use for travel planning. Journal of Travel Research, 50(6), 587–601. https://doi.org/10.1177/0047287510385466

Filloon, W. (2016, July 19). Bratwurst-cooking robot is a feat of German engineering. https://www.eater.com/2016/7/19/12227128/bratwurst-robot-sausage-cooking-germany

Future Travel Experience. (2013, August). Customer service robots becoming a reality for airports and airlines. https://www.futuretravelexperience.com/2013/08/customer- service-robots-becoming-a-reality-for-airports-and-airlines/

Gil, D., Hobson, S., Mojsilović, A., Puri, R., & Smith, J. R. (2020). AI for management: An overview. In J. Canals & F. Heukamp (Eds.). The Future of Management in an AI World (pp. 03–19). IESE Business Collection.

Giuliani, M., Petrick, R. P. A., Foster, M. E., Gaschler, A., Isard, A., Pateraki, M., & Sigalas, M. (2013, December). Comparing task-based and socially intelligent behaviour in a robot bartender. Paper presented at the ICMI 2013 – 2013 ACM International Conference on Multimodal Interaction (pp. 263–270). http://dx.doi.org/10.1145/2522848.2522869

Hilton Worldwide. (2016, March 09). Hilton and IBM pilot “Connie,” The world’s first Watson-enabled hotel concierge. https://newsroom.hilton.com/corporate/news/hilton-and-ibm- pilot-connie-the-worlds-first-watsonenabled-hotel-concierge

Hong, W. C., Dong, Y., Chen, L. Y., & Wei, S. Y. (2011). SVR with hybrid chaotic genetic algorithms for tourism demand forecasting. Applied Soft Computing Journal, 11(2), 1881–1890. https://doi.org/10.1016/j.asoc.2010.06.003

Hotelmanagement.net. (2016, December 20). Wynn Las Vegas adds Amazon Echo to all guestrooms. https://www.hotelmanagement.net/tech/wynn-las-vegas-adds-amazon- echo-to-all-hotel-rooms

Hristova, Y. (2019). Face recognition for the hospitality industry. https://roombre.com/en/blog/hotel-technology/face-recognition-for-the-hospitality-industry.html

Hu, W., Singh, R. R. P., & Scalettar, R. T. (2017). Discovering phases, phase transitions, and crossovers through unsupervised machine learning: A critical examination. Physical Review E, 95(6), 062122. https://doi.org/10.1103/PhysRevE.95.062122

Huang, T., Chen, C. C., & Schwartz, Z. (2019). Do I book at exactly the right time? Airfare forecast accuracy across three price-prediction platforms. Journal of Revenue and Pricing Management, 18, 281–290. https://doi.org/10.1057/s41272-019-00193-7

Hwang, J., & Kim, H. (2019). Consequences of a green image of drone food delivery services: The moderating role of gender and age. Business Strategy and the Environment, 28, 872–884. https://doi.org/10.1002/bse.2289

Hwang, J., Cho, S. B., & Kim, W. (2019). Consequences of psychological benefits of using eco-friendly services in the context of drone food delivery services. Journal of Travel and Tourism Marketing, 36(7), 835–846. https://doi.org/10.1080/10548408.2019.1586619

Hwang, J., Kim, H., & Kim, W. (2019). Investigating motivated consumer innovativeness in the context of drone food delivery services. Journal of Hospitality and Tourism Management, 38, 102–110. https://doi.org/10.1016/j.jhtm.2019.01.004

Hwang, J., Kim, W., & Kim, J. J. (2020). Application of the value-belief-norm model to environmentally friendly drone food delivery services: The moderating role of product involvement. International Journal of Contemporary Hospitality Management, 32(5), 1775-1794. https://doi.org/10.1108/IJCHM-08-2019-0710

Hwang, J., Lee, J. S., & Kim, H. (2019). Perceived innovativeness of drone food delivery services and its impacts on attitude and behavioral intentions: The moderating role of gender and age. International Journal of Hospitality Management, 81, 94–103. https://doi.org/10.1016/j.ijhm.2019.03.002

International Federation of Robotics [IFR]. (2020, August 24). Topics and Definitions. https://ifr.org/

Ivanov, S., & Webster, C. (2017, October 19-21). Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies – a cost-benefit analysis. Paper presented at the International Scientific Conference on Contemporary Tourism – Traditions and Innovations, Sofia University (pp. 1-9). https://ssrn.com/abstract=3007577

Ivanov, S., & Webster, C. (2019). Conceptual framework of the use of robots, artificial intelligence and service automation in travel, tourism, and hospitality companies. In S. Ivanov & C. Webster, (Eds.), Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality (pp. 7-37). Emerald Publishing Limited.

Ivanov, S., & Webster, C. (2020). Robots in tourism: A research agenda for tourism economics. Tourism Economics, 26(7), 1065–1085. https://doi.org/10.1177/1354816619879583

Ivanov, S., Webster, C., & Berezina, K. (2017). Adoption of robots and service automation by tourism and hospitality companies. Revista Turismo & Desenvolvimento, 27(28), 1501–1517. https://ssrn.com/abstract=2964308

iTranslate. (2020, October 17). iTranslate Translator. https://itranslate.com/apps

Joshi, A. V. (2020). Essential Concepts in Artificial Intelligence and Machine Learning. In A. V. Joshi (Ed.). Machine Learning and Artificial Intelligence (pp.9-20). Springer Nature Switzerland.

Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62, 15–25. https://doi.org/10.1016/j.bushor.2018.08.004

Kim, M., & Qu, H. (2014). Travelers’ behavioral intention toward hotel self-service kiosks usage. International Journal of Contemporary Hospitality Management, 26(2), 225–245. https://doi.org/10.1108/IJCHM-09-2012-0165

Kon, S. C., & Turner, L. W. (2005). Neural network forecasting of tourism demand. Tourism Economics, 11(3), 301–328. https://doi.org/10.5367/000000005774353006

Kuo, C. M., Chen, L. C., & Tseng, C. Y. (2017). Investigating an innovative service with hospitality robots. International Journal of Contemporary Hospitality Management, 29(5), 1305-1321. https://doi.org/10.1108/IJCHM-08-2015-0414

Law, R. (1998). Room occupancy rate forecasting: A neural network approach. International Journal of Contemporary Hospitality Management, 10(6), 234–239. https://doi.org/10.1108/09596119810232301

Law, R. (2000). Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting. Tourism Management, 21(4), 331–340. https://doi.org/10.1016/S0261-5177(99)00067-9

Law, R., & Au, N. (1999). A neural network model to forecast Japanese demand for travel to Hong Kong. Tourism Management, 20, 89–97. https://doi.org/10.1016/S0261- 5177(98)00094-6

Law, R., Li, G., Fong, D. K. C., & Han, X. (2019). Tourism demand forecasting: A deep learning approach. Annals of Tourism Research, 75, 410–423. https://doi.org/10.1016/j.annals.2019.01.014

Lewis-Kraus, G. (2016, February 03). Check in with the velociraptor at the world’s first robot hotel. https://www.wired.com/2016/03/robot-henn-na-hotel-japan/

Li, X., Pan, B., Law, R., & Huang, X. (2017). Forecasting tourism demand with composite search index. Tourism Management, 59, 57–66. https://doi.org/10.1016/j.tourman.2016.07.005

Lin, J. (2017). Robots are taking Singapore’s hotel industry by storm – here’s where to go for some robot hospitality. Retrieved June 1, 2020, from https://www.businessinsider.com/robots-are-taking-singapores-hotel-industry-by-storm-heres-where-to-go-for-some-robot-hospitality

Lui, K. (2016, November 16). Watch Domino’s pull off the world’s first commercial pizza delivery by drone. https://fortune.com/2016/11/16/dominos-new-zealand-first-commercial- pizza-delivery-drone/

Markoff, J. (2014, August 11). ‘Beep,’ says the bellhop. https://www.nytimes.com/2014/08/12/technology/hotel-to-begin-testing-botlr-a-robotic-bellhop.html

Marston, J. (2017, December 21). Quick-service restaurants are quickly turning to facial recognition. https://thespoon.tech/quick-service-restaurants-are-quickly-turning-to-facial- recognition/

Martin, E. (2018, March 21). Here’s exactly when to buy plane tickets to get the best deals. https://www.cnbc.com/2018/03/21/best-time-to-get-cheap-plane-tickets.html

McCarthy, J. (2007, November 12). What is artificial intelligence?. http://jmc.stanford.edu/articles/whatisai/whatisai.pdf

McCorduck, P. (2004). Machines who think : A personal inquiry into the history and prospects of artificial intelligence. A K Peters/CRC Press.

Melián-González, S., Gutiérrez-Taño, D., & Bulchand-Gidumal, J. (2019). Predicting the intentions to use chatbots for travel and tourism. Current Issues in Tourism. https://doi.org/10.1080/13683500.2019.1706457

Microsoft. (2020, October 17). Microsoft Translator. https://translator.microsoft.com/

Millward, S. (2015, February 10). Singapore restaurant shows off autonomous drone waiters. https://www.techinasia.com/singapore-restaurant-autonomous-drone-waiters

Murphy, J., Hofacker, C., & Gretzel, U. (2017). Dawning of the age of robots in hospitality and tourism: Challenges for teaching and research. European Journal of Tourism Research, 15, 104–111.

Neapolitan, R. E., & Jiang, X. (2018). Artificial Intelligence with an Introduction to Machine Learning (Second Ed.). CRC Press Taylor & Francis Group.

Nicas, J., & Michaels, D. (2012, August 28). The Self-Service Airport. https://www.wsj.com/articles/SB10000872396390443545504577567501420272414

Niculescu, A. I., Jiang, R., Kim, S., Yeo, K. H., D’Haro, L. F., Niswar, A., & Banchs, R. E. (2014, August 27-29). SARA: Singapore’s automated responsive assistant, a multimodal dialogue system for touristic information. Paper presented at the 11th International Conference on Mobile Web and Information Systems, MobiWIS 2014 (pp. 153-164). https://doi.org/10.1007/978-3-319-10359-4_13

Oxford Learner’s Dictionaries. (2020, October 16). Drone. https://www.oxfordlearnersdictionaries.com/definition/english/drone_1?q=drone

Özen, I. A. (2020). Internet of things in tourism: A proposal of the information system for Cappadocia hot-air ballooning. In E. Çeltek (Ed.). Handbook of Research on Smart Technology Applications in the Tourism Industry (pp. 131-154). IGI Global.

Pan, B., & Yang, Y. (2017). Forecasting destination weekly hotel occupancy with big data. Journal of Travel Research, 56(7), 957–970. https://doi.org/10.1177/0047287516669050

Park, S. (2020). Multifaceted trust in tourism service robots. Annals of Tourism Research, 81, 102888. https://doi.org/10.1016/j.annals.2020.102888

Phaneuf, A. (2020, February 12). 7 real examples of brands and businesses using chatbots to gain an edge. https://www.businessinsider.com/business-chatbot-examples

Pinillos, R., Marcos, S., Feliz, R., Zalama, E., & Gómez-García-Bermejo, J. (2016). Long-term assessment of a service robot in a hotel environment. Robotics and Autonomous Systems, 79, 40–57. https://doi.org/10.1016/j.robot.2016.01.014

Rajagopal, A. (2019, November 12). Singapore hotels help make a case for facial recognition tech. https://hospitalitytech.com/singapore-hotels-help-make-case-facial- recognition-tech

Rasmussen, C. E., & Williams, C. K. I. (2006). Gaussian Processes for Machine Learning. The MIT Press.

Revfine. (2020, October 15). 4 ways facial recognition can be used in the travel industry. https://www.revfine.com/facial-recognition-travel-industry/

ReviewPro. (2016, September 21). Are robots changing the way that guest experience is measured in the hotel industry?. https://www.reviewpro.com/blog/robots-changing-way- guest-experience-measured-hotel-industry/

Ritter, C. (2019). User-based barriers to the adoption of artificial intelligence in healthcare. [Unpublished Doctoral Dissertation]. Department of Business Administration, Capella University.

Russel, S., & Norvig, P. (2016). Artificial intelligence—A modern approach (3rd Edition). Pearson Education Limited.

Samala, N., Katkam, B. S., Bellamkonda, R. S., & Rodriguez, R. V. (2020). Impact of AI and robotics in the tourism sector: A critical insight. Journal of Tourism Futures. https://doi.org/10.1108/JTF-07-2019-0065

Saygin, A. P., Cicekli, I., & Akman, V. (2000). Turing test: 50 years later. Minds and Machines, 10(4), 463–518. https://doi.org/10.1023/A:1011288000451

SayHi. (2020, October 17). SayHi. https://www.sayhi.com/tr/translate/

Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum.

Schwahn, L. (2017, October 23). When is the best time to buy airline tickets?. https://www.nerdwallet.com/article/finance/best-time-to-buy-plane-tickets

Shamim, S., Cang, S., Yu, H., & Li, Y. (2017). Examining the feasibilities of industry 4.0 for the hospitality sector with the lens of management practice, Energies, 10(4), 1-19. https://doi.org/10.3390/en10040499

Sloan, G. (2014, November 01). Robot bartenders? This new cruise ship has them. https://www.freep.com/story/cruiselog/2014/11/01/quantum-robot-bar-cruise/18308319/

Stankov, U., Kennell, J., Morrison, A. M., & Vujičić, M. D. (2019). The view from above: The relevance of shared aerial drone videos for destination marketing. Journal of Travel and Tourism Marketing, 36(7), 808–822. https://doi.org/10.1080/10548408.2019.1575787

Sushirobo.com. (2020, June 12). Sushi Machines. https://sushirobo.com/

Sutton, R. S., & Barto, A. G. (2018). Reinforcement Learning, Second Edition: An Introduction - Complete Draft (Second Ed.). The MIT Press.

The International Organization for Standardization [ISO]. (2012). ISO 8373:2012(en) Robots and robotic devices — Vocabulary. https://www.iso.org/obp/ui/#iso:std:iso:8373:ed- 2:v1:en

Troitino, C. (2018, June 21). Meet the world’s first fully automated burger robot: Creator debuts the big mac killer. https://www.forbes.com/sites/christinatroitino/2018/06/21/meet- the-worlds-first-fully-automated-burger-robot-creator-debuts-the-big-mac-killer/#1dcfa0a06a89

Tsang, W. K., & Benoit, D. F. (2020). Gaussian processes for daily demand prediction in tourism planning. Journal of Forecasting, 39(3), 551–568. https://doi.org/10.1002/for.2644

Tsaur, R. C., & Kuo, T. C. (2011). The adaptive fuzzy time series model with an application to Taiwan’s tourism demand. Expert Systems with Applications, 38(8), 9164–9171. https://doi.org/10.1016/j.eswa.2011.01.059

Tung, V. W. S., & Au, N. (2018). Exploring customer experiences with robotics in hospitality. International Journal of Contemporary Hospitality Management, 30(7), 2680–2697. https://doi.org/10.1108/IJCHM-06-2017-0322

Turing, A. M. (1950). Computing machinery and intelligence-AM Turing. Mind, 59(236), 433–460.

Tussyadiah, I. (2020). A review of research into automation in tourism: Launching the annals of tourism research curated collection on artificial intelligence and robotics in tourism. Annals of Tourism Research, 81, 102883. https://doi.org/10.1016/j.annals.2020.102883

Tussyadiah, I. P., Zach, F. J., & Wang, J. (2020). Do travelers trust intelligent service robots? Annals of Tourism Research, 81, 102886. https://doi.org/10.1016/j.annals.2020.102886

Wang, C. H. (2004). Predicting tourism demand using fuzzy time series and hybrid grey theory. Tourism Management, 25, 367–374. https://doi.org/10.1016/S0261- 5177(03)00132-8

Wang, L. (2016). Discovering phase transitions with unsupervised learning. Physical Review B, 94(19), 195105. https://doi.org/10.1103/PhysRevB.94.195105

Wolfe, F. (2019, October 10). Facial-recognition tech creates service, security options. https://www.hotelmanagement.net/tech/facial-recognition-tech-creates-service-security- options

Wu, L. (2017, December 31). Big burger is watching you, and other ways facial recognition software is entering foodservice. https://www.forbes.com/sites/lesliewu/2017/12/31/big-burger-is-watching-you-and-other-ways-facial-recognition-software-is-entering-foodservice/

Yamazaki, K., Yamazaki, A., Okada, M., Kuno, Y., Kobayashi, Y., Hoshi, Y., … Heath, C. (2009, April 04-09). Revealing gauguin: Engaging visitors in robot guide’s explanation in an art museum. Paper presented at the 27th Annual CHI Conference on Human Factors in Computing Systems (pp. 1437-1446).

Yang L., Henthorne T.L., & George B. (2020). Artificial intelligence and robotics technology in the hospitality industry: Current applications and future trends. In B. George & J. Paul (Eds.). Digital Transformation in Business and Society (pp. 211-228). Palgrave Macmillan.

Yıldız, S. (2019). Turist rehberliği mesleğinde robot rehberlerin yükselişi. Süleyman Demirel Üniversitesi Vizyoner Dergisi, 10(23), 164–177. https://doi.org/10.21076/vizyoner.481225

Yotel New York. (2020, June 18). Everything you need, and nothing you don’t. https://www.yotel.com/en/hotels/yotel-new-york/your-stay

Zalama, E., García-Bermejo, J. G., Marcos, S., Domínguez, S., Feliz, R., Pinillos, R., & López, J. (2014). Sacarino, a service robot in a hotel environment. In M. Armada, A. Sanfeliu & M. Ferre (Eds.) Robot 2013: First Iberian Robotics Conference (vol. 2) - Advances in Intelligent Systems and Computing (pp. 3–14). Springer. https://doi.org/10.1007/978-3-319-03653-3_1