Khôi phục sau cú sốc COVID-19: vai trò của nhận thức rủi ro và hiệu quả cảm nhận của các biện pháp bảo vệ đối với động cơ du lịch trong thời kỳ đại dịch

An M, Lee C, Noh Y (2010) Risk factors at the travel destination: their impact on air travel satisfaction and repurchase intention. Serv Bus 4(2):155–166. https://doi.org/10.1007/s11628-010-0094-2 Assaf A, Scuderi R (2020) COVID-19 and the recovery of the tourism industry. Tour Econ 26(5):731–733. https://doi.org/10.1177/1354816620933712 Bakar NA, Rosbi S (2020) Effect of Coronavirus disease (COVID-19) to tourism industry. Int J Adv Eng Res Sci 7(4):189–193. https://doi.org/10.22161/ijaers.74.23 Banks MS, Onita CG, Meservy TO (2010) Risky behavior in online social media: protection motivation and social influence. AMCIS 2010 Proceedings: 372. https://aisel.aisnet.org/amcis2010/372. Accessed 20 Mar 2021. Bashirian S, Jenabi E, Khazaei S, Barati M, Karimi-Shahanjarini A, Zareian S, Rezapur-Shahkolai F, Moeini B (2020) Factors associated with preventive behaviours of COVID-19 among hospital staff in Iran in 2020: an application of the protection motivation theory. J Hosp Infect 105(3):430–433. https://doi.org/10.1016/j.jhin.2020.04.035 Birinci H, Berezina K, Cobanoglu C (2018) Comparing customer perceptions of hotel and peer-to-peer accommodation advantages and disadvantages. Int J Contemp Hosp Manag 30(2):1190–1210. https://doi.org/10.1108/IJCHM-09-2016-0506 Bresciani S, Ferraris A, Santoro G, Premazzi K, Quaglia R, Yahiaoui D, Viglia G (2021) The seven lives of Airbnb. The role of accommodation types. Ann Tour Res 88:100. https://doi.org/10.1016/j.annals.2021.103170 Brewer NT, Chapman GB, Gibbons FX, Gerrard M, McCaul KD, Weinstein ND (2007) Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination. Health Psychol 26(2):136. https://doi.org/10.1037/0278-6133.26.2.136 Brida JG, Cortes-Jimenez I, Pulina M (2016) Has the tourism-led growth hypothesis been validated? A literature review. Curr Issue Tour 19(5):394–430. https://doi.org/10.1080/13683500.2013.868414 Cauberghe V, De Pelsmacker P, Janssens W, Dens N (2009) Fear, threat and efficacy in threat appeals: message involvement as a key mediator to message acceptance. Accid Anal Prev 41(2):276–285. https://doi.org/10.1016/j.aap.2008.11.006 Chan APH, Tung VWS (2019) Examining the effects of robotic service on brand experience: the moderating role of hotel segment. J Travel Tour Mark 36(4):458–468. https://doi.org/10.1080/10548408.2019.1568953 Chatterjee R, Bajwa S, Dwivedi D, Kanji R, Ahammed M, Shaw R (2020) COVID-19 risk assessment tool: dual application of risk communication and risk governance. Prog Disaster Sci 7:100109. https://doi.org/10.1016/j.pdisas.2020.100109 Cheah JH, Sarstedt M, Ringle CM, Ramayah T, Ting H (2018) Convergent validity assessment of formatively measured constructs in PLS-SEM: on using single-item versus multi-item measures in redundancy analyses. Int J Contemp Hosp Manag 30(11):3192–3210. https://doi.org/10.1108/IJCHM-10-2017-0649 Cheng M, Jin X (2019) What do Airbnb users care about? An analysis of online review comments. Int J Hosp Manag 76:58–70. https://doi.org/10.1016/j.ijhm.2018.04.004 Chew EYT, Jahari SA (2014) Destination image as a mediator between perceived risks and revisit intention: a case of post-disaster Japan. Tour Manag 40:382–393. https://doi.org/10.1016/j.tourman.2013.07.008 Chua BL, Al-Ansi A, Lee MJ, Han H (2020) Impact of health risk perception on avoidance of international travel in the wake of a pandemic. Curr Issue Tour 24(7):985–1002. https://doi.org/10.1080/13683500.2020.1829570 Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Erlbaum, Hillsdale Cori L, Bianchi F, Cadum E, Anthonj C (2020) Risk perception and COVID-19. Int J Environ Res Public Health 17(9):3114. https://doi.org/10.3390/ijerph17093114 Coshall JT (2003) The threat of terrorism as an intervention on international travel flows. J Travel Res 42(1):4–12. https://doi.org/10.1177/0047287503253901 Das SS, Tiwari AK (2020) Understanding international and domestic travel intention of Indian travellers during COVID-19 using a Bayesian approach. Tour Recreat Res 46(2):228–244. https://doi.org/10.1080/02508281.2020.1830341 Diamantopoulos A, Siguaw JA (2006) Formative versus reflective indicators in organizational measure development: a comparison and empirical illustration. Br J Manag 17(4):263–282. https://doi.org/10.1111/j.1467-8551.2006.00500.x Doornekamp L, van Leeuwen L, van Gorp E, Voeten H, Goeijenbier M (2020) Determinants of vaccination uptake in risk populations: a comprehensive literature review. Vaccines 8(3):480. https://doi.org/10.3390/vaccines8030480 Ezati Rad R, Mohseni S, Kamalzadeh Takhti H et al (2021) Application of the protection motivation theory for predicting COVID-19 preventive behaviors in Hormozgan, Iran: a cross-sectional study. BMC Public Health 21:446. https://doi.org/10.1186/s12889-021-10500-w Falk RF, Miller NB (1992) A primer for soft modeling. University of Akron Press, Akron Floyd DL, Prentice-Dunn S, Rogers RW (2000) A meta-analysis of research on protection motivation theory. J Appl Soc Psychol 30(2):407–429. https://doi.org/10.1111/j.1559-1816.2000.tb02323.x Floyd MF, Gibson H, Pennington-Gray L, Thapa B (2004) The effect of risk perceptions on intentions to travel in the aftermath of September 11, 2001. J Travel Tour Mark 15(2–3):19–38. https://doi.org/10.1300/J073v15n02_02 Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39–50. https://doi.org/10.2307/3151312 Franzen A, Wöhner F (2021) Coronavirus risk perception and compliance with social distancing measures in a sample of young adults: evidence from Switzerland. PLoS ONE 16(2):e0247447. https://doi.org/10.1371/journal.pone.0247447 Hair JF, Matthews LM, Matthews RL, Sarstedt M (2017) PLS-SEM or CB-SEM: updated guidelines on which method to use. Int J Multivar Data Anal 1(2):107–123. https://doi.org/10.1504/IJMDA.2017.087624 Hair JF, Risher JJ, Sarstedt M, Ringle CM (2019) When to use and how to report the results of PLS-SEM. Eur Bus Rev 31(1):2–24. https://doi.org/10.1108/EBR-11-2018-0203 Hair JF, Hult GTM, Ringle CM, Sarstedt M (2021) A primer on partial least squares structural equation modeling (PLS-SEM), 2nd edn. Sage Publications, Los Angeles Hakim MP, Zanetta LDA, da Cunha DT (2021) Should I stay, or should I go? Consumers’ perceived risk and intention to visit restaurants during the COVID-19 pandemic in Brazil. Food Res Int 141:110152 Hassan SH, Ramayah T, Mohamed O, Maghsoudi A (2015) E-Lifestyle conceptualization: measurement model validation using variance based structural equation modeling (SEM-PLS). Mod Appl Sci 9(2):307–319. https://doi.org/10.5539/mas.v9n2p307 Henseler J, Ringle CM, Sarstedt M (2016) Testing measurement invariance of composites using partial least squares. Int Mark Rev 33(3):405–431. https://doi.org/10.1108/IMR-09-2014-0304 Hoang TG, Truong NT, Nguyen TM (2021) The survival of hotels during the COVID-19 pandemic: a critical case study in Vietnam. Serv Bus 15(2):209–229. https://doi.org/10.1007/s11628-021-00441-0 Hussain S, Fangwei Z, Siddiqi AF, Ali Z, Shabbir MS (2018) Structural equation model for evaluating factors affecting quality of social infrastructure projects. Sustainability 10(5):1415. https://doi.org/10.3390/su10051415 Katapodi MC, Dodd MJ, Lee KA, Facione NC (2009) Underestimation of breast cancer risk: influence on screening behavior. Oncol Nurs Forum 36(3):306–314. https://doi.org/10.1188/09.onf.306-314 Kummeneje AM, Rundmo T (2020) Attitudes, risk perception and risk-taking behaviour among regular cyclists in Norway. Transp Res F: Traffic Psychol Behav 69:135–150. https://doi.org/10.1016/j.trf.2020.01.007 Lăzăroiu G, Adams C (2020) Viral panic and contagious fear in scary times: the proliferation of COVID-19 misinformation and fake news. Anal Metaphys 19:80–86. https://doi.org/10.22381/AM1920209 Lee CK, Song HJ, Bendle LJ, Kim MJ, Han H (2012) The impact of non-pharmaceutical interventions for 2009 H1N1 influenza on travel intentions: a model of goal-directed behavior. Tour Manage 33(1):89–99. https://doi.org/10.1016/j.tourman.2011.02.006 Liang H, Xue Y (2009) Avoidance of information technology threats: a theoretical perspective. MIS Q 33(1):71–90. https://doi.org/10.2307/20650279 Liang H, Xue Y, Pinsonneault A, Wu Y (2019) What users do besides problem-focused coping when facing it security threats: an emotion-focused coping perspective. MISQ 43(2):373–394. https://doi.org/10.25300/MISQ/2019/14360 Liao C, Yu H, Zhu W (2020) Perceived knowledge, coping efficacy and consumer consumption changes in response to food recall. Sustainability 12(7):2696. https://doi.org/10.3390/su12072696 Lockyer T (2005) Understanding the dynamics of the hotel accommodation purchase decision. Int J Contemp Hosp Manag 17(6):481–492. https://doi.org/10.1108/09596110510612121 Long NN, Khoi BH (2020) An empirical study about the intention to hoard food during COVID-19 pandemic. Eurasia J Math, Sci Technol Educ 16(7):1857. https://doi.org/10.29333/ejmste/8207 Luo Y, Cheng Y, Sui M (2021) The moderating effects of perceived severity on the generational gap in preventive behaviors during the COVID-19 pandemic in the US. Int J Environ Res Public Health 18(4):2011. https://doi.org/10.3390/ijerph18042011 Marco-Franco JE, Pita-Barros P, Vivas-Orts D, González-de-Julián S, Vivas-Consuelo D (2021) COVID-19, fake news, and vaccines: should regulation be implemented? Int J Environ Res Public Health 18(2):744. https://doi.org/10.3390/ijerph18020744 Margraf J, Brailovskaia J, Schneider S (2021) Adherence to behavioral Covid-19 mitigation measures strongly predicts mortality. PLoS ONE 16(3):e0249392. https://doi.org/10.1371/journal.pone.0249392 McKercher B, Chon K (2004) The over-reaction to SARS and the collapse of Asian tourism. Ann Tour Res 31(3):716. https://doi.org/10.1016/j.annals.2003.11.002 Meier K, Glatz T, Guijt MC, Piccininni M, Van Der Meulen M, Atmar K et al (2020) Public perspectives on protective measures during the COVID-19 pandemic in the Netherlands, Germany and Italy: a survey study. PLoS ONE 15(8):e0236917. https://doi.org/10.1371/journal.pone.0236917 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. Front Psychol 12:655860. https://doi.org/10.3389/fpsyg.2021.655860 Michie S, Van Stralen MM, West R (2011) The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci 6(1):1–12. https://doi.org/10.1186/1748-5908-6-42 Moliner-Velázquez B, Fuentes-Blasco M, Gil-Saura I (2021) Segmenting customers according to online word-of-mouth about hotels. Serv Bus 15(1):103–130. https://doi.org/10.1007/s11628-020-00435-4 Nakayachi K, Ozaki T, Shibata Y, Yokoi R (2021) A comparison of perceived effectiveness of preventive behaviors against COVID-19 between the public and medical experts: not so different in means, but in distributions. J Health Psychol. https://doi.org/10.1177/1359105321999701 Nazir MU, Yasin I, Tat HH (2021) Destination image’s mediating role between perceived risks, perceived constraints, and behavioral intention. Heliyon 7(7):e07613. https://doi.org/10.1016/j.heliyon.2021.e07613 Neuburger L, Egger R (2020) Travel risk perception and travel behaviour during the COVID-19 pandemic 2020: a case study of the DACH region. Curr Issue Tour 24(7):1003–1016. https://doi.org/10.1080/13683500.2020.1803807 Nik Hashim N, Yusoff AM, Awang Z, Aziz RC, Ramlee SIF, Bakar NA, Fatt BS (2019) The effect of domestic tourist perceived risk on revisit intention in Malaysia. IJITEE 8(10):4591–4596. https://doi.org/10.35940/ijitee.J1085.0881019 Oh CO (2005) The contribution of tourism development to economic growth in the Korean economy. Tour Manag 26(1):39–44. https://doi.org/10.1016/j.tourman.2003.09.014 Pappas N, Glyptou K (2021) Accommodation decision-making during the COVID-19 pandemic: complexity insights from Greece. Int J Hosp Manag 93:102767. https://doi.org/10.1016/j.ijhm.2020.102767 Prasetyo YT, Castillo AM, Salonga LJ, Sia JA, Seneta JA (2020) Factors affecting perceived effectiveness of COVID-19 prevention measures among Filipinos during enhanced community quarantine in Luzon, Philippines: integrating protection motivation theory and extended theory of planned behavior. Int J Infect Dis 99:312–323. https://doi.org/10.1016/j.ijid.2020.07.074 Reisinger Y, Mavondo F (2005) Travel anxiety and intentions to travel internationally: implications of travel risk perception. J Travel Res 43(3):212–225. https://doi.org/10.1177/0047287504272017 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 Romer D, Jamieson P (2001) Do adolescents appreciate the risks of smoking? Evidence from a national survey. J Adolesc Health 29(1):12–21. https://doi.org/10.1016/s1054-139x(01)00209-9 Safón V, Escribá-Esteve A (2011) Antecedents and consequences of external risk perception in franchising: evidence from the hospitality industry. Serv Bus 5(3):237. https://doi.org/10.1007/s11628-011-0112-z Schneider A, Ingram H (1990) Behavioral assumptions of policy tools. J Politics 52(2):510–529. https://doi.org/10.2307/2131904 Shin Y, Hur WM, Hwang H (2021) Impacts of customer incivility and abusive supervision on employee performance: a comparative study of the pre-and post-COVID-19 periods. Serv Bus. https://doi.org/10.1007/s11628-021-00456-7 Shmueli G, Sarstedt M, Hair JF, Cheah JH, Ting H, Vaithilingam S, Ringle CM (2019) Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. Eur J Mark 53(11):2322–2347. https://doi.org/10.1108/EJM-02-2019-0189 Song S, Suess C, Mody MA, Dogru T (2020) Comparing the influence of substantive and communicative servicescape on healthcare traveler emotions: the moderating effect of accommodation type and interior design style. Int J Contemp Hosp Manag 33(1):1–26. https://doi.org/10.1108/IJCHM-12-2019-1022 Sönmez SF, Graefe AR (1998) Determining future travel behavior from past travel experience and perceptions of risk and safety. J Travel Res 37(2):171–177. https://doi.org/10.1177/004728759803700209 Uğur NG, Akbıyık A (2020) Impacts of COVID-19 on global tourism industry: a cross-regional comparison. Tour Manag Perspect 36:100744. https://doi.org/10.1016/j.tmp.2020.100744 Vacondio M, Priolo G, Dickert S, Bonini N (2021) Worry, perceived threat and media communication as predictors of self-protective behaviors during the COVID-19 outbreak in Europe. Front Psychol 12:231. https://doi.org/10.3389/fpsyg.2021.577992 Wan C, Shen GQ, Yu A (2014) The role of perceived effectiveness of policy measures in predicting recycling behaviour in Hong Kong. Resour Conserv Recycl 83:141–151. https://doi.org/10.1016/j.resconrec.2013.12.009 World Tourism Organization (UNWTO) (2021) COVID-19 and Tourism 2020: a year in review. https://www.unwto.org/covid-19-and-tourism-2020. Accessed 12 Mar 2021. Yan R, Zhang KZ, Yu Y (2019) Switching from hotels to peer-to-peer accommodation: an empirical study. Inf Technol People 32(6):1657–1678. https://doi.org/10.1108/ITP-12-2017-0444 Yavas U, Babakus E (2005) Dimensions of hotel choice criteria: congruence between business and leisure travelers. Int J Hosp Manag 24(3):359–367. https://doi.org/10.1016/j.ijhm.2004.09.003 Young CA, Corsun DL, Xie KL (2017) Travelers’ preferences for peer-to-peer (P2P) accommodations and hotels. IJCTHR 11(4):465–482. https://doi.org/10.1108/IJCTHR-09-2016-0093 Zeballos Rivas DR, Lopez Jaldin ML, Nina Canaviri B, Portugal Escalante LF, Alanes Fernández AM, Aguilar Ticona JP (2021) Social media exposure, risk perception, preventive behaviors and attitudes during the COVID-19 epidemic in La Paz, Bolivia: a cross sectional study. PLoS ONE 16(1):859. https://doi.org/10.1371/journal.pone.0245859 Zhang H, Song H, Wen L, Liu C (2021) Forecasting tourism recovery amid COVID-19. Ann Tour Res 87:103149. https://doi.org/10.1016/j.annals.2021.103149 Zhu W, Wei J, Zhao D (2016) Anti-nuclear behavioral intentions: the role of perceived knowledge, information processing, and risk perception. Energy Policy 88:168–177. https://doi.org/10.1016/j.enpol.2015.10.009