Intention to Take COVID-19 Vaccine as a Precondition for International Travel: Application of Extended Norm-Activation Model
Abstract
:1. Introduction
2. Literature Review
2.1. Norm-Activation Model (NAM)
2.2. Mass Media
3. Method
3.1. Measures
3.2. Sample and Data Collection Procedure
3.3. Data Screening
4. Results
4.1. Results of the Demographic Information
4.2. Results of the Measurement Model
4.3. Structural Model and Hypotheses Testing
5. Conclusions
5.1. Theoretical Implications
5.2. Practical Implications
5.3. Limitations and Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Constructs and Items |
---|
Mass media coverage Media coverage (TV, newspapers, online) convey a positive image of COVID-19 vaccine. Media coverage makes me want to take COVID-19 vaccine. |
Awareness of consequences The COVID-19 outbreak and pandemic is more serious than what individuals think in the tourism industry. I concern that COVID-19 and its impact on the tourism industry lasts longer than we expect. I am aware of the seriousness of COVID-19 and its considerable influence on the tourism industry. |
Ascribed responsibility I believe that every traveler is partly responsible for the COVID-19 outbreak and pandemic. I feel that every traveler is jointly responsible for the COVID-19 outbreak and pandemic. Every traveler must assume responsibility for the COVID-19 outbreak and pandemic. |
Personal norm I feel morally obliged to take COVID-19 vaccine as precondition of international traveling when available. I feel personally obliged to take COVID-19 vaccine as precondition of international traveling when available. I feel a moral obligation to take COVID-19 vaccine as precondition of international traveling when available. |
Anticipated pride Imagine that, you take COVID-19 vaccine as precondition of international traveling when available. How would you feel? I would feel proud. I would feel accomplished. I would feel confident. |
Anticipated guilt Imagine that, you take COVID-19 vaccine as precondition of international traveling when available. How would you feel? I would feel guilty. I would feel remorseful. I would feel sorry. |
Behavioral intention I am willing to take COVID-19 vaccine as precondition of international traveling when available. I plan to take COVID-19 vaccine as precondition of international traveling when available. I will spend my effort on taking COVID-19 vaccine as precondition of international traveling when available. |
References
- UN World Tourism Organization. 2020: Worst Year in Tourism History with 1 Billion Fewer International Arrivals. Available online: https://www.unwto.org/news/2020-worst-year-in-tourism-history-with-1-billion-fewer-international-arrivals#:~:text=Global%20tourism%20suffered%20its%20worst,World%20Tourism%20Organization%20(UNWTO).&text=The%20crisis%20has%20put%20between,small%20and%20medium%2Dsized%20enterprises (accessed on 30 January 2021).
- Wilson, M.E.; Chen, L.H. Re-starting travel in the era of COVID-19: Preparing anew. J. Travel Med. 2020, 27. [Google Scholar] [CrossRef]
- Laurent, L. Covid-19 Vaccine Passports Are a Ticket to Nowhere. Available online: https://www.bloomberg.com/opinion/articles/2021-01-20/covid-vaccine-passports-are-a-ticket-to-nowhere (accessed on 30 January 2021).
- Gössling, S.; Scott, D.; Hall, C.M. Pandemics, tourism and global change: A rapid assessment of COVID-19. J. Sustain. Tour. 2020, 29, 1–20. [Google Scholar] [CrossRef]
- Chang, B. Norwegian Cruise Line Will Require Crew Members to Get the COVID-19 Vaccine before Boarding as Sailings Continue to Be Pushed Back. Available online: https://www.businessinsider.com/norwegian-requiring-crew-members-to-get-the-covid-19-vaccine-2021-1 (accessed on 24 January 2021).
- Cruise Industry News. Saga Pushes Start of Cruising to May; Requires COVID-19 Vaccine. Available online: https://www.cruiseindustrynews.com/cruise-news/24231-saga-pushes-start-of-cruising-to-may.html (accessed on 22 January 2021).
- Faust, C.G. Cruise Critic Readers Speak Out: Vaccine Requirements Preferred; Cruises Safer Than Other Travel. Available online: https://www.cruisecritic.com/news/5849/ (accessed on 29 January 2021).
- Read, J. What Vaccines Mean for the Return of Travel. Available online: https://www.nationalgeographic.com/travel/2021/01/what-will-covid-19-vaccines-mean-for-travel-coronavirus/ (accessed on 31 January 2021).
- Phelan, A.L. COVID-19 immunity passports and vaccination certificates: Scientific, equitable, and legal challenges. Lancet 2020, 395, 1595–1598. [Google Scholar] [CrossRef]
- Hatz, C.; Bühler, S.; Farnham, A. The COVID-19 pandemic offers a key moment to reflect on travel medicine practice. J. Travel Med. 2020, 27, taaa149. [Google Scholar] [CrossRef]
- Thomaselli, R. World Travel and Tourism Council Is against Mandatory COVID-19 Vaccines. Available online: https://www.travelpulse.com/news/impacting-travel/world-travel-and-tourism-council-is-against-mandatory-covid-19-vaccines.html (accessed on 31 January 2021).
- Schwartz, S.H. Normative influences on altruism. Advances in experimental social psychology. In Advances in Experimental Social Psychology; Berkowitz, L., Ed.; Academic Press: New York, NY, USA, 1977; Volume 10, pp. 221–279. [Google Scholar]
- Steg, L.; De Groot, J.I.M. Explaining prosocial intentions: Testing causal relationships in the norm activation model. Br. J. Psychol. 2010, 49, 725–743. [Google Scholar] [CrossRef]
- Schwartz, S.H.; Howard, J.A. A normative decision making model of altruism. In Altruism and Helping Behavior; Rushton, J.P., Sorrentino, R.M., Eds.; Lawrence Erlbaum: Hillsdale, NJ, USA, 1981; pp. 89–211. [Google Scholar]
- Pires, A.; Martinho, G.; Rodrigues, S.; Gomes, M.I. Sustainable Solid Waste Collection and Management; Springer: Cham, Switzerland, 2019. [Google Scholar]
- Lewis, M. Self-Conscious Emotions. Embarrassment, Pride, Shame, Guilt and Hubris. In Handbook of Emotions, 4th ed.; Feldman, B., Michael, L., Michael, L., Eds.; Guilford: New York, NY, USA, 2018; pp. 792–814. [Google Scholar]
- Fowers, B.J. The Evolution of Guilt and Its Non-Instrumental Enactments. In The Moral Psychology of Guilt; Cokelet, B., Maley, C.J., Eds.; Rowman & Littlefield International: Lanham, MD, USA, 2019; pp. 113–130. [Google Scholar]
- Han, H. The norm activation model and theory-broadening: Individuals’ decision-making on environmentally-responsible convention attendance. J. Environ. Psychol. 2014, 40, 462–471. [Google Scholar] [CrossRef]
- Kiatkawsin, K.; Sutherland, I.; Lee, S.K. Determinants of Smart Tourist Environmentally Responsible Behavior Using an Extended Norm-Activation Model. Sustainability 2020, 12, 4934. [Google Scholar] [CrossRef]
- Kim, J.J.; Hwang, J. Merging the norm activation model and the theory of planned behavior in the context of drone food delivery services: Does the level of product knowledge really matter? J. Hosp. Tour. Manag. 2020, 42, 1–11. [Google Scholar] [CrossRef]
- Manosuthi, N.; Lee, J.-S.; Han, H. Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model. J. Travel Tour. Mark. 2020, 37, 510–532. [Google Scholar] [CrossRef]
- Kiatkawsin, K.; Han, H. Young travelers’ intention to behave pro-environmentally: Merging the value-belief-norm theory and the expectancy theory. Tour. Manag. 2017, 59, 76–88. [Google Scholar] [CrossRef]
- Han, H. Travelers’ pro-environmental behavior in a green lodging context: Converging value-belief-norm theory and the theory of planned behavior. Tour. Manag. 2015, 47, 164–177. [Google Scholar] [CrossRef]
- Sharma, R.; Gupta, A. Pro-environmental behaviour among tourists visiting national parks: Application of value-belief-norm theory in an emerging economy context. Asia Pacific J. Tour. Res. 2020, 25, 829–840. [Google Scholar] [CrossRef]
- Liu, J.; An, K.; Jang, S.-C. A model of tourists’ civilized behaviors: Toward sustainable coastal tourism in China. J. Destin. Mark. Manag. 2020, 16, 100437. [Google Scholar] [CrossRef]
- Denley, T.J.; Woosnam, K.M.; Ribeiro, M.A.; Boley, B.; Hehir, C.; Abrams, J. Individuals’ intentions to engage in last chance tourism: Applying the value-belief-norm model. J. Sustain. Tour. 2020, 28, 1860–1881. [Google Scholar] [CrossRef]
- Potter, W.J. Synthesizing a Working Definition of “Mass” Media. Rev. Commun. Res. 2013, 1, 1–30. [Google Scholar]
- Viswanath, K.; Ramanadhan, S.; Kontos, E.Z. Mass Media. In Macrosocial Determinants of Population Health; Galea, S., Ed.; Springer: New York, NY, USA, 2007; pp. 275–294. [Google Scholar]
- Genner, S.; Süss, D. Socialization as Media Effect. In The International Encyclopedia of Media Effects; Rossler, P., Hoffner, C.A., van Zoonen, L., Eds.; John Wiley & Sons, Inc.: Chichester, UK; Malden, MA, USA, 2017; pp. 1–15. [Google Scholar]
- Katz, E.; Lazarsfeld, P. Personal Influence; The Free Press: Glencoe, IL, USA, 1955. [Google Scholar]
- Harapan, H.; Wagner, A.L.; Yufika, A.; Winardi, W.; Anwar, S.; Gan, A.K.; Setiawan, A.M.; Rajamoorthy, Y.; Sofyan, H.; Mudatsir, M. Acceptance of a COVID-19 Vaccine in Southeast Asia: A Cross-Sectional Study in Indonesia. Front. Public Health 2020, 8, 381. [Google Scholar] [CrossRef] [PubMed]
- Leng, A.; Maitland, E.; Wang, S.; Nicholas, S.; Liu, R.; Wang, J. Individual Preferences for COVID-19 Vaccination in China. Vaccine 2020, 39, 247–254. [Google Scholar] [CrossRef]
- Young, B.; Lewis, S.; Katikireddi, S.V.; Bauld, L.; Stead, M.; Angus, K.; Campbell, M.; Hilton, S.; Thomas, J.; Hinds, K.; et al. Effectiveness of Mass Media Campaigns to Reduce Alcohol Consumption and Harm: A Systematic Review. Alcohol Alcohol. 2018, 53, 302–316. [Google Scholar] [CrossRef] [Green Version]
- French, J.; Deshpande, S.; Evans, W.; Obregon, R. Key Guidelines in Developing a Pre-Emptive COVID-19 Vaccination Uptake Promotion Strategy. Int. J. Environ. Res. Public Health 2020, 17, 5893. [Google Scholar] [CrossRef]
- Juschten, M.; Jiricka-Pürrer, A.; Unbehaun, W.; Hössinger, R. The mountains are calling! An extended TPB model for understanding metropolitan residents’ intentions to visit nearby alpine destinations in summer. Tour. Manag. 2019, 75, 293–306. [Google Scholar] [CrossRef]
- Kim, W.-H.; Malek, K.; Roberts, K.R. The effectiveness of green advertising in the convention industry: An application of a dual coding approach and the norm activation model. J. Hosp. Tour. Manag. 2019, 39, 185–192. [Google Scholar] [CrossRef]
- Radic, A.; Lück, M.; Al-Ansi, A.; Chua, B.-L.; Seeler, S.; Raposo, A.; Kim, J.J.; Han, H. To Dine, or Not to Dine on a Cruise Ship in the Time of the COVID-19 Pandemic: The Tripartite Approach towards an Understanding of Behavioral Intentions among Female Passengers. Sustainability 2021, 13, 2516. [Google Scholar] [CrossRef]
- Hine, D.; Martin, P.; Howard, T.; Alter, T. Community-Based Control of Invasive Species; CSIRO Publishing: Clayton, Australia, 2019. [Google Scholar]
- Kulkarni, P.; Prabhu, S.; Kumar, S.; Ramraj, B. COVID-19-Infodemic overtaking pandemic? Time to disseminate facts over fear. Indian J. Community Health 2020, 32, 264–268. [Google Scholar] [CrossRef]
- Zhang, X.; Zhang, Z.-K.; Wang, W.; Hou, D.; Xu, J.; Ye, X.; Li, S. Multiplex network reconstruction for the coupled spatial diffusion of infodemic and pandemic of COVID-19. Int. J. Digit. Earth 2021, 1–23. [Google Scholar] [CrossRef]
- Jamil, S.; Appiah-Adjei, G. Battling with infodemic and disinfodemic: The quandary of journalists to report on COVID-19 pandemic in Pakistan. Media Asia 2020, 47, 88–109. [Google Scholar] [CrossRef]
- Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.; Podsakoff, N.P. Common method biases in behavioral research: A critical review of the literature and the recommended remedies. J. Appl. Psychol. 2003, 88, 879–903. [Google Scholar] [CrossRef] [PubMed]
- Terglav, K.; Ruzzier, M.K.; Kaše, R. Internal branding process: Exploring the role of mediators in top management’s leadership–commitment relationship. Int. J. Hosp. Manag. 2016, 54, 1–11. [Google Scholar] [CrossRef]
- Evans, J.R.; Mathur, A. The value of online surveys: A look back and a look ahead. Internet Res. 2018, 28, 854–887. [Google Scholar] [CrossRef] [Green Version]
- Teeroovengadum, V.; Nunkoo, R. Sampling design in tourism and hospitality research. In Handbook of Research Methods for Tourism and Hospitality Management; Nunkoo, R., Ed.; Edward Elgar Publishing: Cheltenham, UK, 2018; pp. 477–488. [Google Scholar]
- Kline, R.B. Principles and Practice of Structural Equation Modeling, 4th ed.; Guilford publications: New York, NY, USA, 2016. [Google Scholar]
- Muthén, L.K.; Muthén, B.O. Mplus User’s Guide: Statistical Analysis with Latent Variables, 8th ed.; Muthén & Muthén: Los Angeles, CA, USA, 1998–2019. [Google Scholar]
- Bagozzi, R.P.; Yi, Y. On the evaluation of structural equation models. J. Acad. Mark. Sci. 1988, 16, 74–94. [Google Scholar] [CrossRef]
- Fornell, C.; Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
- Sartre, J.-P. Being and Nothingness: An Essay on Phenomenological Ontology; Methuen & Co.: London, UK, 1943–1972. [Google Scholar]
- Lewis, M. The Self-Conscious Emotions and the Role of Shame in Psychopathology. In Handbook of Emotional Development; LoBue, V., Pérez-Edgar, K., Buss, K., Eds.; Springer: Cham, Switzerland, 2019; pp. 311–350. [Google Scholar]
- Dawkins, R. The Selfish Gene, 40th Anniversary Edition; Oxford University Press: Oxford, UK, 2016. [Google Scholar]
- Perugini, M.; Bagozzi, R.P. The role of desires and anticipated emotions in goal-directed behaviors: Broadening and deepening the theory of planned behavior. Br. J. Soc. Psychol. 2001, 40, 70–98. [Google Scholar] [CrossRef] [PubMed]
- Carlson, M.D.; Morrison, R.S. Study design, precision, and validity in observational studies. J. Palliat. Med. 2009, 12, 77–82. [Google Scholar] [CrossRef] [PubMed]
Social Media Group | Domain |
---|---|
China Travel Group | https://www.facebook.com/groups/164125967451164 |
Tourists | https://www.facebook.com/groups/642485595801073 |
Tripadvisor Travel Forum | https://www.tripadvisor.com/ForumHome |
Thorn Tree forum | https://www.lonelyplanet.com/thorntree/welcome |
Fodor’s Travel Talk Forums | https://www.fodors.com/community/trending.php |
Travel and Tourism | https://www.facebook.com/groups/433024676868583 |
Worldwide Travel | https://www.facebook.com/groups/worldwidetravel |
Travellers Around The World | https://www.facebook.com/groups/885989791516753 |
Travellers point | https://www.travellerspoint.com/forum.cfm |
South Asian Tourism & Travelers Group | https://www.facebook.com/groups/1504362079863590 |
Variable | n | % |
---|---|---|
Gender | ||
Male | 590 | 48.3 |
Female | 631 | 51.7 |
Age group | ||
20–29 | 485 | 39.7 |
30–40 | 374 | 30.6 |
41–50 | 277 | 22.7 |
51–60 | 61 | 5.0 |
60 and older | 24 | 2.0 |
Education level | ||
High school | 274 | 22.4 |
Associate degree | 252 | 20.6 |
Bachelor’s degree | 492 | 40.3 |
Master’s or doctoral degree | 203 | 16.7 |
Place of residence | ||
North America | 137 | 11.2 |
Central/South America | 122 | 10.0 |
Europe | 125 | 10.2 |
China | 215 | 17.6 |
South Asia | 170 | 13.9 |
South East Asia | 232 | 19.0 |
Africa | 209 | 17.1 |
Australia and New Zealand | 11 | 1.0 |
Variable | Mean | SD | Skewness | Kurtosis | Standardized Factor Loading | Composite Reliability | Cronbach’s α |
---|---|---|---|---|---|---|---|
MAC | 0.857 | 0.847 | |||||
MAC1 | 3.24 | 1.239 | −0.374 | −0.856 | 0.771 | ||
MAC2 | 3.24 | 1.177 | −0.325 | −0.726 | 0.954 | ||
AWC | 0.848 | 0.846 | |||||
AWC1 | 3.74 | 1.034 | −0.651 | 0.008 | 0.813 | ||
AWC2 | 3.92 | 0.909 | −0.751 | 0.524 | 0.808 | ||
AWC3 | 3.8 | 0.956 | −0.615 | 0.048 | 0.797 | ||
ACR | 0.898 | 0.898 | |||||
ACR1 | 3.73 | 1.002 | −0.624 | 0.069 | 0.875 | ||
ACR2 | 3.73 | 0.994 | −0.635 | 0.109 | 0.845 | ||
ACR3 | 3.8 | 1.021 | −0.655 | −0.011 | 0.87 | ||
PSN | 0.916 | 0.916 | |||||
PSN1 | 3.18 | 1.275 | −0.23 | −0.98 | 0.914 | ||
PSN2 | 3.19 | 1.277 | −0.248 | −0.965 | 0.924 | ||
ANP | 0.945 | 0.945 | |||||
ANP1 | 3.14 | 1.29 | −0.174 | −1.015 | 0.918 | ||
ANP2 | 3.06 | 1.273 | −0.125 | −1.013 | 0.927 | ||
ANP3 | 3.17 | 1.297 | −0.225 | −1.038 | 0.925 | ||
ANG | 0.925 | 0.925 | |||||
ANG1 | 2.33 | 1.09 | 0.515 | −0.421 | 0.882 | ||
ANG2 | 2.31 | 1.07 | 0.5 | −0.409 | 0.919 | ||
ANG3 | 2.33 | 1.109 | 0.548 | −0.425 | 0.89 | ||
BHI | 0.941 | 0.94 | |||||
BHI1 | 3.17 | 1.268 | −0.224 | −1.002 | 0.919 | ||
BHI2 | 3.17 | 1.271 | −0.224 | −0.986 | 0.905 | ||
BHI3 | 3.13 | 1.267 | −0.162 | −0.986 | 0.927 |
Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | AVE | (√AVE) |
---|---|---|---|---|---|---|---|---|---|
1. MAC | 1.000 | 0.752 | (0.867) | ||||||
2. AWC | 0.185 | 1.000 | 0.650 | (0.806) | |||||
3. ACR | 0.171 | 0.821 | 1.000 | 0.746 | (0.864) | ||||
4. PSN | 0.326 | −0.024 | 0.027 | 1.000 | 0.845 | (0.919) | |||
5. ANP | 0.345 | −0.019 | 0.004 | 0.936 | 1.000 | 0.853 | (0.924) | ||
6. ANG | −0.087 | −0.506 | −0.411 | 0.193 | 0.136 | 1.000 | 0.805 | (0.897) | |
7. BHI | 0.345 | −0.044 | −0.043 | 0.942 | 0.897 | 0.179 | 1.000 | 0.841 | (0.917) |
M | 3.24 | 3.82 | 3.75 | 3.37 | 3.12 | 2.32 | 3.16 | ||
SD | 1.125 | 0.846 | 0.916 | 0.948 | 1.222 | 1.016 | 1.199 |
Relationships | Estimate | S.E. | Est./S.E. | |||||||
---|---|---|---|---|---|---|---|---|---|---|
H1: | AWC | → | ACR | 0.869 (0.833) | 0.032 | 27.344 *** | ||||
H2: | ACR | → | PSN | 0.062 (0.047) | 0.022 | 2.760 ** | ||||
H3: | PSN | → | BHI | 0.929 (0.943) | 0.020 | 45.412 *** | ||||
H4: | ACR | → | ANP | −0.006 (−0.005) | 0.042 | −0.153 | ||||
H5: | ANP | → | PSN | 0.913 (0.938) | 0.020 | 46.087 *** | ||||
H6: | ACR | → | ANG | −0.481 (−0.439) | 0.033 | −14.546 *** | ||||
H7: | ANG | → | PSN | 0.107 (0.089) | 0.020 | 5.459 *** | ||||
H8: | MAC | → | AWC | 0.164 (0.194) | 0.028 | 5.819 *** | ||||
H9: | MAC | → | BHI | 0.072 (0.063) | 0.018 | 3.976 *** | ||||
Direct effect: | AWC | → | BHI | −0.064 (−0.047) | 0.021 | −2.990 ** | ||||
Indirect effect: | AWC | → | ACR | → | PSN | → | BHI | 0.050 (0.037) | 0.018 | 2.754 ** |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Radic, A.; Koo, B.; Gil-Cordero, E.; Cabrera-Sánchez, J.P.; Han, H. Intention to Take COVID-19 Vaccine as a Precondition for International Travel: Application of Extended Norm-Activation Model. Int. J. Environ. Res. Public Health 2021, 18, 3104. https://doi.org/10.3390/ijerph18063104
Radic A, Koo B, Gil-Cordero E, Cabrera-Sánchez JP, Han H. Intention to Take COVID-19 Vaccine as a Precondition for International Travel: Application of Extended Norm-Activation Model. International Journal of Environmental Research and Public Health. 2021; 18(6):3104. https://doi.org/10.3390/ijerph18063104
Chicago/Turabian StyleRadic, Aleksandar, Bonhak Koo, Eloy Gil-Cordero, Juan Pedro Cabrera-Sánchez, and Heesup Han. 2021. "Intention to Take COVID-19 Vaccine as a Precondition for International Travel: Application of Extended Norm-Activation Model" International Journal of Environmental Research and Public Health 18, no. 6: 3104. https://doi.org/10.3390/ijerph18063104
APA StyleRadic, A., Koo, B., Gil-Cordero, E., Cabrera-Sánchez, J. P., & Han, H. (2021). Intention to Take COVID-19 Vaccine as a Precondition for International Travel: Application of Extended Norm-Activation Model. International Journal of Environmental Research and Public Health, 18(6), 3104. https://doi.org/10.3390/ijerph18063104