Ksenofobia i negatywne nastawienie mieszkańców do turystów pod koniec globalnego kryzysu zdrowotnego – przypadek pandemii COVID-19

Ehsan Aslani, Mohammadhossein Dehghan Pour Farashah, Norberto Santos

Streszczenie w języku polskim


Celem poniższego artykułu jest zbadanie związku między ksenofobicznymi nastrojami i zachowaniami mieszkańców a ich negatywnym nastawieniem do turystów pod koniec globalnego kryzysu zdrowotnego. Po dokonaniu przeglądu literatury autorzy opracowali model badawczy. Do pomiaru przyjętego modelu i oceny hipotez zastosowano modelowanie równań strukturalnych metodą cząstkowych najmniejszych kwadratów (PLS-SEM). Wielkość próby to 513 osób z różnych krajów, które wzięły udział w ankiecie internetowej. Zebrane dane zostały przeanalizowane za pomocą SmartPLS 3. Wyniki badań ujawniły, że nawet po zmniejszeniu obaw społecznych związanych z COVID-19, strach i postrzeganie ryzyka mają pozytywny i bezpośredni wpływ na podejmowane środki ostrożności. Ponadto strach ma pozytywny i bezpośredni wpływ na ksenofobię, podczas gdy, wbrew oczekiwaniom, postrzeganie ryzyka wpływa na nią negatywnie. Co więcej, badania wykazały pozytywny i bezpośredni wpływ ksenofobii na ich negatywne nastawienie do turystów krajowych i międzynarodowych. W kolejnych podobnych warunkach, gdy międzynarodowe destynacje będą stopniowo odbudowywać się i powracać do normalnych warunków sprzed pandemii, wyniki tego badania mogą pomóc organizacjom zarządzającym destynacjami (DMO), dostarczając informacji na temat realnego postrzegania postaw lokalnych mieszkańców całego świata wobec turystów. Ponadto opracowany model można stosować dla poszczególnych destynacji. Wkład naukowy niniejszego badania obejmuje opracowanie modelu, który odzwierciedla ksenofobiczne nastroje i zachowania mieszkańców oraz ich negatywne nastawienie do turystów, w następstwie globalnego kryzysu zdrowotnego. Również udział respondentów z różnych krajów stanowi rzetelny wgląd w globalną sytuację postpandemiczną, z jaką boryka się branża turystyczna.


Słowa kluczowe


ksenofobia; mieszkańcy; postawy wobec turystów; COVID-19

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Bibliografia


LITERATURE

Adeleke B.O., Omitola A.A., Olukole O.T. 2008. Impacts of xenophobia attacks on tourism. IFE PsychologIA: An International Journal 16(2), 136–147. https://doi.org/10.4314/ifep.v16i3.23782

Adeola F.O. 2007. Nativity and environmental risk perception: An empirical study of native-born and foreign-born residents of the USA. Human Ecology Review 14(1), 13–25.

Ahuja K.K., Banerjee D. 2021. The “Labeled” Side of COVID-19 in India: Psychosocial Perspectives on Islamophobia During the Pandemic. Frontiers in Psychiatry 1–8. https://doi.org/10.3389/fpsyt.2020.604949

Ali F., Rasoolimanesh S.M., Sarstedt M., Ringle C.M., Ryu K. 2018. An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management 30(1), 514–538. https://doi.org/10.1108/IJCHM-10-2016-0568

Almeida-García F., Cortés-Macías R., Parzych K. 2021. Tourism impacts, tourism-phobia and gentrification in historic centers: The cases of Málaga (Spain) and Gdansk (Poland). Sustainability 13(1), 1–25. https://doi.org/10.3390/su13010408

Ang C.-S. 2022. ‘Dirty foreigners’ are to blame for COVID-19: Impacts of COVID stress syndrome on quality of life and gratitude among Singaporean adults. Current Psychology 1–13. https://doi.org/10.1007/s12144-021-02560-3

Aschauer W. 2012. The challenge of xenophobia for international tourism: A case study of Salzburg. Revista Turismo & Desenvolvimento 2(17/18), 863–876. https://doi.org/10.34624/rtd.v2i17/18.13023

Baier C., Linderkamp C., Beilken A., Thol F., Heuser M., Ebadi E., Ganzenmueller T., Heim A., Bange F.-C. 2018. Influenza and respiratory syncytial virus screening for the detection of asymptomatically infected patients in hematology and oncology. GMS Hygiene and Infection Control 13, 1–7. https://doi.org/10.3205/dgkh000314

Barclay D., Higgins C., Thompson R. 1995. The partial least squares (PLS) approach to casual modeling: personal computer adoption ans use as an illustration. Technology Studies 2(2), 285–309.

Brug J., Aro A.R., Oenema A., De Zwart O., Richardus J.H., Bishop G.D. 2004. SARS risk perception, knowledge, precautions, and information sources, the Netherlands. Emerging Infectious Diseases 10(8), 1486–1489. https://doi.org/10.3201/eid1008.040283

Chin W.W. 1998. The partial least squares approach to structural equation modeling. In: G.A. Marcoulides (ed.), Modern Methods for Business Research (pp. 295–336). New Jersey: Lawrence Erlbaum Associates Publishers.

Chin W.W. 2010. How to write up and report PLS analyses. In: V.E. Vinzi, W.W. Chin, J. Henseler, H. Wang (eds.), Handbook of Partial Least Squares (pp. 655–690). Berlin: Springer.

Dinić B.M., Bodroža B. 2021. COVID-19 protective behaviors are forms of prosocial and unselfish behaviors. Frontiers in Psychology 12, 1–8. https://doi.org/10.3389/fpsyg.2021.647710

Doxey G.V. 1975. A causation theory of visitor-resident irritants: Methodology and research inferences. The Sixth Annual Conference Proceedings of the Travel Research Association, San Diego, 195–198,

Habibi R., Burci G.L., De Campos T.C., Chirwa D., Cinà M., Dagron S., Eccleston-Turner M., Forman L., Gostin L.O., Meier B.M. 2020. Do not violate the International Health Regulations during the COVID-19 outbreak. The Lancet 395(10225), 664–666. https://doi.org/10.1016/S0140-6736(20)30373-1

Hair J.F., Hult G.T.M., Ringle C.M., Sarstedt M. 2017. Partial least squares structural equation modeling (PLS-SEM). Thousand Oaks: Sage.

Hair J.F., Ringle C.M., Sarstedt M. 2011. PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice 19(2), 139–152.

Hair J.F., Risher J.J., Sarstedt M., Ringle C.M. 2019. When to use and how to report the results of PLS-SEM. European Business Review 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Hair Jr, J.F., Matthews, L.M., Matthews, R.L., Sarstedt, M. 2017. PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis 1(2), 107–123. https://doi.org/10.1016/j.techfore.2021.121092

Hair Jr, J.F., Sarstedt M., Hopkins L., Kuppelwieser V.G. 2014. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128

He L., Zhou W., He M., Nie X., He J. 2021. Openness and COVID-19 induced xenophobia: The roles of trade and migration in sustainable development. PloS one 16(4), 1–16. https://doi.org/10.1371/journal.pone.0249579

Henseler J., Dijkstra T.K., Sarstedt M., Ringle C.M., Diamantopoulos A., Straub D.W., Ketchen Jr D.J., Hair J.F., Hult G.T.M., Calantone R.J. 2014. Common beliefs and reality about partial least squares: Comments on Rönkkö and Evermann. Organizational Research Methods 17(2), 182–209. https://doi.org/10.1177/1094428114526928

Henseler J., Hubona G., Ray P.A. 2016. Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382

Henseler J., Ringle C.M., Sinkovics R.R. 2009. The use of partial least squares path modeling in international marketing. In: R.R. Sinkovics, P.N. Ghauri (eds.), New challenges to international marketing (pp. 277–319). Bingley: Emerald Group Publishing Limited.

Jafari J., Baretje R., Buhalis D., Cohen E., Dann G.M., Collison F., Din K.H., Fayos-Sola E., Fletcher J. 2000. Encyclopedia of tourism. New York: Taylor & Francis.

Joo D., Xu W., Lee J., Lee C.-K., Woosnam K.M. 2021. Residents’ perceived risk, emotional solidarity, and support for tourism amidst the COVID-19 pandemic. Journal of Destination Marketing & Management 19, 1–11. https://doi.org/10.1016/j.jdmm.2021.100553

Kock F., Josiassen A., Assaf A.G. 2019. The xenophobic tourist. Annals of Tourism Research 74, 155–166. https://doi.org/10.1016/j.annals.2018.11.005

Kock N. 2013. WarpPLS 4.0 User Manual, Script Warp Systems. Laredo: ScriptWarp Systems.

Kwok A.O.J., Koh S.G.M. 2020. COVID-19 and Extended Reality (XR). Current Issues in Tourism 24(14), 1935–1940. https://doi.org/10.1080/13683500.2020.1798896

Lang P.J. 1968. Fear reduction and fear behavior: Problems in treating a construct. In: J.M. Schlien (ed.), Research in Psychotherapy (pp. 90–102). Washington, DC: American Psychological Association.

Lesetedi G.N., Modie-Moroka T. 2007. Reverse xenophobia: immigrants attitudes towards citizens in Botswana. A paper presented at the African Migrations Workshop: Understanding Migration Dynamics in the Continent, Centre for Migration Studies, University of Ghana, Legon-Accra, Ghana, September 18–21.

Memon M.A., Ting H., Cheah J.-H., Thurasamy R., Chuah F., Cham T.H. 2020. Sample size for survey research: Review and recommendations. Journal of Applied Structural Equation Modeling 4(2), 1–20. https://doi.org/10.47263/JASEM.4(2)01

Meng Y., Khan A., Bibi S., Zhao W., Chen W., Lee Y. 2021. The effects of COVID-19 risk perception on travel intention: Evidence from Chinese travelers. Frontiers in Psychology 12, 1–16. https://doi.org/10.3389/fpsyg.2021.655860

Mertens G., Duijndam S., Smeets T., Lodder P. 2021. The latent and item structure of COVID-19 fear: A comparison of four COVID-19 fear questionnaires using SEM and network analyses. Journal of Anxiety Disorders 81, 1–9. https://doi.org/10.1016/j.janxdis.2021.102415

Pavlić I., Portolan A. 2016. Irritation index, tourism. In: J. Jafari, H. Xiao (eds.), Encyclopedia of Tourism (pp. 1–2). Zurich: Springer International Publishing.

Philippas D. 2014. Xenophobia. In: A.C. Michalos (ed.), Encyclopedia of Quality of Life and Well-Being Research (pp. 7275–7278). Dordrecht: Springer.

Ramayah T.J.F.H., Cheah J., Chuah F., Ting H., Memon M.A. 2016. Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0: An Updated Guide and Practical Guide to Statistical Analysis. Kuala Lumpur: Pearson.

Rasoolimanesh S.M., Ali F. 2018. Partial least squares-structural equation modeling in hospitality and tourism. Journal of Hospitality and Tourism Technology 9(3), 238–248. https://doi.org/10.1108/JHTT-10-2018-142

Rasoolimanesh S.M., Jaafar M., Marzuki A., Abdullah S. 2019a. Examining the effects of personal factors and travel characteristics on tourists’ perceived crowding. European Journal of Tourism Research 22, 5–19. https://doi.org/10.54055/ejtr.v22i.371

Rasoolimanesh S.M., Md Noor S., Schuberth F., Jaafar M. 2019b. Investigating the effects of tourist engagement on satisfaction and loyalty. The Service Industries Journal 39(7–8), 559–574. https://doi.org/10.1080/02642069.2019.1570152

Reinartz W., Haenlein M., Henseler J. 2009. An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing 26(4), 332–344. https://doi.org/10.1016/j.ijresmar.2009.08.001

Rodríguez-Hidalgo A.J., Pantaleón Y., Dios I., Falla D. 2020. Fear of COVID-19, stress, and anxiety in university undergraduate students: A predictive model for depression. Frontiers in Psychology 11, 1–9. https://doi.org/10.3389/fpsyg.2020.591797

Shahabi Sorman Abadi R., Ghaderi Z., Hall C.M., Soltaninasab M., Qezelbash A.H. 2021. COVID-19 and the travel behavior of xenophobic tourists. Journal of Policy Research in Tourism, Leisure and Events 1–23. https://doi.org/10.1080/19407963.2021.1943415

Shindondola H. 2003. Xenophobia in South Africa and beyond. PhD Research Proposal, Rand.

Taylor S., Landry C.A., Paluszek M.M., Fergus T.A., Mckay D., Asmundson G.J. 2020. Development and initial validation of the COVID stress scales. Journal of Anxiety Disorders 72, 1–7. https://doi.org/10.1016/j.janxdis.2020.102232

Tybur J.M., Lieberman D., Fan L., Kupfer T.R., De Vries R.E. 2020. Behavioral immune trade-offs: Interpersonal value relaxes social pathogen avoidance. Psychological Science 31(10), 1211–1221. https://doi.org/10.1177/0956797620960011

Vinzi V.E., Chin W.W., Henseler J., Wang H. 2010. Handbook of partial least squares : concepts, methods and applications. Berlin: Springer.

Wise T., Zbozinek T.D., Michelini G., Hagan C.C., Mobbs D. 2020. Changes in risk perception and self-reported protective behaviour during the first week of the COVID-19 pandemic in the United States. Royal Society Open Science 7(9), 1–13. https://doi.org/10.1098/rsos.200742

ONLINE SOURCES

Merriam-Webster. 2022. The History of the Word ‘Xenophobia’. Online: https://www.merriam-webster.com/words-at-play/a-short-history-of-xenophobia (access: 19.08.2022).

North Dakota Department of Health. 2020. Precautions. Online: https://www.health.nd.gov/diseases-conditions/infection-prevention-and-control/precautions (access: 19.08.2022).

Schaller M. 2022. Speaking of Psychology: How the threat of disease has shaped human behavior, with Mark Schaller, PhD. Online: https://www.apa.org/news/podcasts/speaking-of-psychology/threat-disease (access: 19.08.2022).

UNDRR. 2020a. The Human Rights Dimensions of the COVID-19 Pandemic. Online: https://www.undrr.org/event/webinar-human-rights-dimensions-covid-19-pandemic (access: 19.08.2022).

UNDRR. 2020b. The Social and Economic Impact of COVID-19 in the Asia-Pacific Region. Online: https://www.asia-pacific.undp.org/content/rbap/en/home/coronavirus/socio-economic-impact-of-covid-19.html (access: 19.08.2022).

WHO. 2022. The end of the COVID-19 pandemic is in sight. Online: https://news.un.org/en/story/2022/09/1126621 (access: 19.08.2022).

WR Immigration. 2022. COVID-19 Travel Restrictions Ease in Many Countries. Online: https://wolfsdorf.com/covid-19-travel-restrictions-ease-in-many-countries/ (access: 19.08.2022).




DOI: http://dx.doi.org/10.17951/b.2023.78.0.1-20
Data publikacji: 2023-06-12 16:07:06
Data złożenia artykułu: 2023-02-18 20:28:46


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Prawa autorskie (c) 2023 Ehsan Aslani, Mohammadhossein Dehghan Pour Farashah, Norberto Santos

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