USING INNOVATIVE TECHNOLOGIES TO REDUCE HEALTH RISK AND RESTORE TRAVELERS’ CONFIDENCE

  • Ljiljana Stanojevic Faculty of Applied Management, Economics and Finance
Keywords: innovative technologies, robotics, artificial intelligence, COVID-19 pandemics, health risk

Abstract

During last year tourism and hospitality industry recorded significant losses due to the Covid-19 pandemics. One of the reasons is that indoor activities have been recognized as one of the main contributor to virus spread. Innovative technologies can play a key role in reducing indoor interaction between guests and staff, keeping social distancing, and providing a high level of cleaning standards. This research aimed to examine whether the implementation of innovative technologies may influence customers’ perception of health risk and whether their implementation in hotels may lead to greater travelers’ confidence in the COVID-19 era. An experimental study was conducted using online customer samples. The purposed questionnaire was developed based on preventive measures taken by leading hotels and hotel chains. The sample includes 180 examinees between 20 and 54 years of age. The results indicate that the implementation of innovative technologies in reducing contact and enhancing cleanliness have a significant impact on customers’ perceived health risk and restoring travelers’ confidence.

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References

Ali, N., (2020). How location technologies facilitate safer holiday hotel stays, https://www.hotelmanagement.net/tech/location-technologiesfacilitate-safer-holiday-hotel-stays, (15 January 2021).

Bentley, T.A., Page, S.J., (2008). A decade of injury monitoring in the New Zealand adventure tourism sector: a summary risk analysis. Tourism Management, Vol. 29, No. 5, 857–869.

Cahyanto, I., Wiblishauser, M., Pennington-Gray, L., Schroeder, A. (2016). The dynamics of travel avoidance: The case of Ebola in the US. Tourism Management Perspectives, Vol. 20, 195–203.

Cain, L. N., Thomas, J. H., Alonso Jr, M. (2019). From sci-fi to sci-fact: the state of robotics and AI in the hospitality industry. Journal of Hospitality and Tourism Technology. Vol. 10 No. 4, 624-650

Chan, J.F.W., Yuan, S., Kok, K.H., To, K.K.W., Chu, H., Yang, J., Xing, F., Liu, J., Yip, C.C.Y., Poon, R.W. S., Tsoi, H.W. (2020), "A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster", The Lancet, Vol. 395 No. 10223, 514-523.

Choi, Y., Mehraliyev, F., Kim, S. S. (2020). Role of virtual avatars in digitalized hotel service. International Journal of Contemporary Hospitality Management.

Grilli, G., Tyllianakis, E., Luisetti, T., Ferrini, S., & Turner, R. K. (2021). Prospective tourist preferences for sustainable tourism development in Small Island Developing States. Tourism Management, 82, 104178.

Fox, J. T. (2020), LG to launch disinfecting robot, https://www.hotelmanagement.net/tech/lg-to-launch-disinfecting-robot-at-digital-ces (15 January 2021).

Fuchs, G., Reichel, A. (2011). An exploratory inquiry into destination risk perceptions and risk reduction strategies of first-time vs. repeat visitors to a highly volatile destination. Tourism Management, Vol. 32, No. 2, 266- 276.

Gerasimovic, M., Stanojevic, Lj., Bugaric, U., Miljkovic, Z., Veljovic, A., (2011). Using Artificial Neural Networks for Predictive Modeling of Graduate’s Professional Choice, New Educational Review, Vol. 23, No. 2011, 175-188,

Global Recovery Scenarios 2020 Updates, https://wttc.org/Research/Economic-Impact/Recovery-Scenarios, (15 January 2021)

Hotel Technology News, (2020), YOTEL Boston Deploys Autonomous Disinfection Robots to Reinforce Guest Safety. https://hoteltechnologynews.com/2020/09/yotel-boston-deploys-autonomous-disinfection-robotsto-reinforce-guest-safety/ (15 January 2021)

Imbardelli, A. P. (2019), How smart rooms can transform hotel brands, https://www.hotelmanagement.net/tech/how-smart-rooms-can-transformhotel-brands (15 January 2021)

Ivanov, S. H., Webster, C. (2017). Adoption of robots, artificial intelligence, and service automation by travel, tourism, and hospitality companies–a cost-benefit analysis. Artificial Intelligence and Service Automation by Travel, Tourism and Hospitality Companies–A Cost-Benefit Analysis. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3007577 (January 2021).

Ivanov, S., (2020). The impact of automation on tourism and hospitality jobs. Information Technologies in Tourism, Vol. 22, No. 2, 205–215.

Kabadayi, S., Ali, F., Choi, H., Joosten, H., Lu, C. (2019). Smart service experience in hospitality and tourism services. Journal of Service Management. Vol. 30, No. 3, 326-348

Kattara, H. S., El-Said, O. A. (2013). Customers’ preferences for new technology-based self-services versus human interaction services in hotels. Tourism and Hospitality Research, Vol. 13, No. 2, 67-82.

Kim, S. S., Kim, J., Badu-Baiden, F., Giroux, M., Choi, Y. (2020). Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic. International Journal of Hospitality Management, Vol. 93, 102795.

Kozak, M., Crotts, J.C., Law, R., (2007). The impact of the perception of risk on international travelers. International Journal of Tourist Research. Vol. 9, No. 4, 233–242.

Law, R. (2006). The perceived impact of risks on travel decisions. International Journal of Tourism Research, Vol. 8, No. 4, 289-300.

Lepp, A., Gibson, H. (2003). Tourist roles, perceived risk, and international tourism. Annals of tourism research, Vol. 30, No. 3, 606-624.

Linton, H., Kwortnik, R. J. (2015). The mobile revolution is here: are you ready? Cornell Hospitality Reports, Vol. 15, No. 6, 6-18.

Mariani, M. M., Borghi, M., & Okumus, F. (2020). Unravelling the effects of cultural differences in the online appraisal of hospitality and tourism services. International Journal of Hospitality Management, 90, 102606.

Miljković, Z., Gerasimović, M., Stanojević, Lj., Bugarić, U., (2011), Using Artificial Neural Networks To Predict Professional Movements Of Graduates, Croatian Journal of Education, Vol: 13 No. (3/2011), pages: 117-141.

Miller, D., (2020). Hotels enhance cleaning protocols in light of COVID-19, https://www.hotelnewsnow.com/Articles/302702/Hotelsenhance-cleaning-protocols-in-light-of-COVID-19 (15 January 2021)

Naumov, N. (2019). The impact of robots, artificial intelligence, and service automation on service quality and service experience in hospitality. Robots, Artificial Intelligence, and Service Automation in Travel, Tourism, and Hospitality, Emerald Publishing Limited, 123-133.

Neuburger, L., & Egger, R. (2020). Travel risk perception and travel behavior during the COVID-19 pandemic 2020: a case study of the DACH region. Current Issues in Tourism, 1-14.

Osland, G. E., Mackoy, R., & McCormick, M. (2017). Perceptions of personal risk in tourists’ destination choices: nature tours in Mexico. European Journal of Tourism, Hospitality, and Recreation, Vol. 8, No. 1, 38-50.

Revfine. (2020). Retrieved from: https://www.revfine.com/facialrecognition-hospitality-industry/ (December 2020).

Sbai, A., (2020). How COVID-19 Impacted Travel & Tourism Industry Globally, https://infomineo.com/covid-19-impacted-travel-tourismindustry/ (15 January 2021)

Shin, H., Kang, J. (2020). Reducing perceived health risk to attract hotel customers in the COVID-19 pandemic era: Focused on technology innovation for social distancing and cleanliness. International Journal of Hospitality Management, Vol. 91, 102664.

Stanojević, Lj., Radanov, P., (2020), Digital transformation of work – will Covid-19 pandemic influence intelligent automation of work, International Scientific & Professional Conference MEFKON20, Innovation As An Initiator Of The Development "Innovations in the Function of Development", International Thematic Monograph – Thematic Proceedings, 55-70.

Statistical Office of the Republic of Serbia (2021) https://data.stat.gov.rs/Home/Result/220203?languageCode=sr-Latn (15 January 2021)

Trejos, N. (2016). Introducing Connie, Hilton’s New robot concierge. https://eu.usatoday.com/story/travel/roadwarriorvoices/2016/03/09/introducingconnie-hiltons-new-robot-concierge/81525924/ (15 January 2021)

Wen, J., Liu, X. Yu, C. (2020), "Exploring the roles of smart services in Chinese senior tourists’ travel experiences: an application of psychological reactance theory", Anatolia.

Williams, A. M., Baláž, V. (2015). Tourism risk and uncertainty: Theoretical reflections. Journal of Travel Research, Vol. 54, No. 3, 271-287.

Yang, E. C. L., Nair, V. (2014). Tourism at risk: A review of risk and perceived risk in tourism. Asia-Pacific Journal of Innovation in Hospitality and Tourism (APJIHT), Vol. 3, No. 2, 1-21.

Yang, E. C. L., Khoo-Lattimore, C., Arcodia, C. (2017). A systematic literature review of risk and gender research in tourism. Tourism Management, Vol. 58, 89-100.

Zabin, J. (2019), "Artificial intelligence: working hand in hand with hotel staff", https://hoteltechnologynews.com/2019/07/artificialintelligence-working-hand-in-hand-with-hotel-staff/ (15 January 2021)

Published
2021-06-03
How to Cite
Stanojevic, L. (2021). USING INNOVATIVE TECHNOLOGIES TO REDUCE HEALTH RISK AND RESTORE TRAVELERS’ CONFIDENCE. Tourism International Scientific Conference Vrnjačka Banja - TISC, 6(1), 299-315. https://doi.org/10.52370/TISC21299LS