International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 10, Issue 8 (August 2023), Pages: 185-190

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 Original Research Paper

Exploring the impact of trust dimensions on COVID-19 vaccination intention and behavior: A quantitative analysis

 Author(s): 

 Salma Ayeb *, Meryem Zoghlami, Kaouther Saied Ben Rached

 Affiliation(s):

 Faculty of Economics and Management of Tunis, Research Laboratory: Business and Marketing Research (ERMA), University of Tunis El Manar, Tunis, Tunisia

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0001-6311-8936

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2023.08.021

 Abstract:

The rapid proliferation of COVID-19 vaccines has emerged as a pivotal strategy to combat the ongoing pandemic. Vaccine hesitancy, influenced by various vaccine-related factors, significantly impacts the adoption of COVID-19 vaccination. Misinformation contributes to vaccine distrust and hinders individuals' willingness to receive the vaccine. Despite its critical importance, there remains a paucity of comprehensive studies focusing on the determinants of vaccine confidence, leading to a deficiency in implementation research aimed at understanding and modifying individuals' behavior towards COVID-19 vaccination. This research endeavors to examine the influence of three key dimensions of trust in the COVID-19 vaccine, namely vaccine reliability, transparency in information dissemination, and pharmaceutical laboratory investment in innovation, on individuals' intention to receive the vaccine. Furthermore, we investigate the repercussions of these dimensions on actual COVID-19 vaccination behavior. Our quantitative study comprises a sample of 240 participants and employs a rigorous analytical approach. The findings underscore that individuals' intent to vaccinate against COVID-19 is positively affected by all three trust dimensions, i.e., drug reliability, innovation investment, and information transparency. Importantly, this intention positively correlates with actual vaccination behavior. This study substantiates the utility of the behavioral approach and the Theory of Planned Behavior (TPB) in elucidating vaccine hesitancy and the factors exerting influence on vaccine uptake.

 © 2023 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: COVID-19 vaccination, Vaccine hesitancy, Trust dimensions, Behavioral approach, Theory of planned behavior, Vaccination behavior

 Article History: Received 5 March 2023, Received in revised form 19 July 2023, Accepted 25 July 2023

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Ayeb S, Zoghlami M, and Rached KSB (2023). Exploring the impact of trust dimensions on COVID-19 vaccination intention and behavior: A quantitative analysis. International Journal of Advanced and Applied Sciences, 10(8): 185-190

 Permanent Link to this page

 Figures

 Fig. 1 

 Tables

 Table 1 Table 2 Table 3

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 References (33)

  1. Abdi Z, Lega F, Ebeid N, and Ravaghi H (2022). Role of hospital leadership in combating the COVID-19 pandemic. Health Services Management Research, 35(1): 2-6. https://doi.org/10.1177/09514848211035620   [Google Scholar] PMid:34347544
  2. Ajzen I and Fishbein M (1980). Understanding attitudes and predicting social behavior. Prentice-Hall, Englewood Cliffs, USA.   [Google Scholar]
  3. Akrout W and Akrout H (2010). Relations entre acheteur et vendeur: Les catalyseurs d'une confiance durable. Decisions Marketing, 57: 53-61. https://doi.org/10.7193/DM.057.53.61   [Google Scholar]
  4. Andreani JC, Moulins JL, Conchon F, Fons C, and Boeuf B (2014). Une approche protéiforme de la confiance du consommateur: Le cas des médicaments. Décisions Marketing, 75: 79-94. https://doi.org/10.7193/dm.075.79.94   [Google Scholar]
  5. Bardosh K, De Figueiredo A, Gur-Arie R, Jamrozik E, Doidge J, Lemmens T, Keshavjee S, Graham JE, and Baral S (2022). The unintended consequences of COVID-19 vaccine policy: Why mandates, passports and restrictions may cause more harm than good. BMJ Global Health, 7(5): e008684. https://doi.org/10.1136/bmjgh-2022-008684   [Google Scholar] PMid:35618306 PMCid:PMC9136690
  6. Bart Y, Shankar V, Sultan F, and Urban GL (2005). Are the drivers and role of online trust the same for all web sites and consumers? A large-scale exploratory empirical study. Journal of Marketing, 69(4): 133-152. https://doi.org/10.1509/jmkg.2005.69.4.133   [Google Scholar]
  7. Cascini F, Pantovic A, Al-Ajlouni YA, Failla G, Puleo V, Melnyk A, Lontano A, and Ricciardi W (2022). Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature. eClinicalMedicine. https://doi.org/10.1016/j.eclinm.2022.101454   [Google Scholar] PMid:35611343 PMCid:PMC9120591
  8. Chaudhuri A and Holbrook MB (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Marketing, 65(2): 81-93. https://doi.org/10.1509/jmkg.65.2.81.18255   [Google Scholar]
  9. Chen J and Dibb S (2010). Consumer trust in the online retail context: Exploring the antecedents and consequences. Psychology and Marketing, 27(4): 323-346. https://doi.org/10.1002/mar.20334   [Google Scholar]
  10. Chuang YC, Huang YL, Tseng KC, Yen CH, and Yang LH (2015). Social capital and health-protective behavior intentions in an influenza pandemic. PLOS ONE, 10(4): e0122970. https://doi.org/10.1371/journal.pone.0122970   [Google Scholar] PMid:25874625 PMCid:PMC4398366
  11. Deutsch M (1958). Trust and suspicion. Journal of Conflict Resolution, 2(4): 265-279. https://doi.org/10.1177/002200275800200401   [Google Scholar]
  12. Dourado E (2020). Accelerating availability of vaccine candidates for COVID-19. Mercatus Center, Arlington, USA. https://doi.org/10.2139/ssrn.3564664   [Google Scholar]
  13. Dubé E, Gagnon D, Nickels E, Jeram S, and Schuster M (2014). Mapping vaccine hesitancy: Country-specific characteristics of a global phenomenon. Vaccine, 32(49): 6649-6654. https://doi.org/10.1016/j.vaccine.2014.09.039   [Google Scholar] PMid:25280436 PMCid:PMC5355208
  14. Dwyer FR, Schurr PH, and Oh S (1987). Developing buyer-seller relationships. Journal of Marketing, 51(2): 11-27. https://doi.org/10.1177/002224298705100202   [Google Scholar]
  15. Filip R, Gheorghita Puscaselu R, Anchidin-Norocel L, Dimian M, and Savage WK (2022). Global challenges to public health care systems during the COVID-19 pandemic: A review of pandemic measures and problems. Journal of Personalized Medicine, 12(8): 1295. https://doi.org/10.3390/jpm12081295   [Google Scholar] PMid:36013244 PMCid:PMC9409667
  16. Fornell C and Larcker DF (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1): 39-50. https://doi.org/10.1177/002224378101800104   [Google Scholar]
  17. Giger JC (2008). Examen critique du caractère prédictif, causal et falsifiable de deux théories de la relation attitude-comportement: La théorie de l’action raisonnée et la théorie du comportement planifié. L'année Psychologique, 108(1): 107-131. https://doi.org/10.4074/S000350330800105X   [Google Scholar]
  18. Godin I, Garcia-Porrero JA, Dieterlen-Lièvre F, and Cumano A (1999). Stem cell emergence and hemopoietic activity are incompatible in mouse intraembryonic sites. The Journal of Experimental Medicine, 190(1): 43-52. https://doi.org/10.1084/jem.190.1.43   [Google Scholar] PMid:10429669 PMCid:PMC2195563
  19. Guibert N (1999). La confiance en marketing: Fondements et applications. Recherche et Applications en Marketing (French Edition), 14(1): 1-19. https://doi.org/10.1177/076737019901400101   [Google Scholar]
  20. Gurviez P and Korchia M (2002). Proposition d'une échelle de mesure multidimensionnelle de la confiance dans la marque. Recherche et Applications en Marketing (French Edition), 17(3): 41-61. https://doi.org/10.1177/076737010201700304   [Google Scholar]
  21. Hair JF, Hult GTM, Ringle CM, and Sarstedt M (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications, Thousand Oaks, USA.   [Google Scholar]
  22. Homma A, de Carvalho ACC, de Castro Fialho B, Gadelha CAG, Toscano CM, Krieger MA, and Savino W (2021). COVID-19 pandemic, R&D, vaccines, and the urgent need of UBUNTU practice. The Lancet Regional Health–Americas, 1: 100020. https://doi.org/10.1016/j.lana.2021.100020   [Google Scholar] PMid:34386790 PMCid:PMC8302364
  23. Hong Z, Deng Z, and Zhang W (2019). Examining factors affecting patients trust in online healthcare services in China: The moderating role of the purpose of use. Health Informatics Journal, 25(4): 1647-1660. https://doi.org/10.1177/1460458218796660   [Google Scholar] PMid:30192694
  24. Khubchandani J, Sharma S, Price JH, Wiblishauser MJ, Sharma M, and Webb FJ (2021). COVID-19 vaccination hesitancy in the United States: A rapid national assessment. Journal of Community Health, 46: 270-277. https://doi.org/10.1007/s10900-020-00958-x   [Google Scholar] PMid:33389421 PMCid:PMC7778842
  25. Lazarus JV, Ratzan SC, Palayew A, Gostin LO, Larson HJ, Rabin K, and El-Mohandes A (2021). A global survey of potential acceptance of a COVID-19 vaccine. Nature Medicine, 27(2): 225-228. https://doi.org/10.1038/s41591-020-1124-9   [Google Scholar] PMid:33082575 PMCid:PMC7573523
  26. Moorman C, Zaltman G, and Deshpande R (1992). Relationships between providers and users of market research: The dynamics of trust within and between organizations. Journal of Marketing Research, 29(3): 314-328. https://doi.org/10.1177/002224379202900303   [Google Scholar]
  27. Morgan RM and Hunt SD (1994). The relationship commitment-trust theory. Journal of Marketing, 58(3): 20-38. https://doi.org/10.1177/002224299405800302   [Google Scholar]
  28. Nunnally J and Bernstein I (1994). The assessment of reliability: Psychometric theory. 3rd Edition, McGraw-Hill, New York, USA.   [Google Scholar]
  29. Rönnerstrand B (2014). Social capital and immunization against the 2009 A (H1N1) pandemic in the American States. Public Health, 128(8): 709-715. https://doi.org/10.1016/j.puhe.2014.05.015   [Google Scholar] PMid:25132391
  30. Verger P and Dubé E (2020). Restoring confidence in vaccines in the COVID-19 era. Expert Review of Vaccines, 19(11): 991-993. https://doi.org/10.1080/14760584.2020.1825945   [Google Scholar] PMid:32940574
  31. Vinzi VE, Chin WW, Henseler J, and Wang H (2010). Handbook of partial least squares: Concepts, methods and applications. Springer, Berlin, Germany.   [Google Scholar]
  32. Wetzels M, Odekerken-Schröder G, and Van Oppen C (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33(1): 177-195. https://doi.org/10.2307/20650284   [Google Scholar]
  33. Zoghlami M, Ayeb S, and Ben Rached Saied K (2021). Using e-health in the prevention against COVID-19: An approach based on the theory of planned behavior. In: Kurosu M (Ed.), Human-computer interaction: Interaction techniques and novel applications. Springer, Cham, Edinburgh, UK. https://doi.org/10.1007/978-3-030-78465-2_37   [Google Scholar]