Exploring the Role of Social Media Influencers in Shaping Consumer Purchase Intentions: Evidence from Emerging Markets
Main Article Content
Abstract
This study investigates the psychological and social mechanisms through which social media influencers shape consumer purchase intentions in emerging Arab markets. Drawing on an integrated framework combining source credibility theory, parasocial interaction, and the persuasion knowledge model, the study employs a structural equation modelling approach based on data from 600 respondents in Jordan and Palestine. Findings reveal that parasocial bonds and perceived trust in sponsored content significantly enhance purchase intentions, while influencer credibility plays a secondary role, and gender congruence shows no direct effect. Social influence cues, such as community engagement and peer interaction, emerge as crucial predictors. Theoretically, this study contributes to science by contextualizing Western models of influence into non-Western settings, thus exhibiting emotional and social paths of persuasion. Practically, the study serves as an informative guide for marketers and influencers regarding the development of authentic relationships, nurturing trust within communities, and devising transparent yet effective promotional methods across varied cultural settings.
Article Details
Section
Copyright and Licensing
Marketing Science & Practice Journal applies the Creative Commons Attribution 4.0 International License (CC BY 4.0) to all articles it publishes.
Authors retain full copyright and all publishing rights in their work without restriction. The journal does not require any transfer of copyright and claims no exclusive rights. By submitting to the journal, authors grant a non-exclusive licence to publish and agree that their article will be distributed under CC BY 4.0.
Under this licence, anyone is free to:
- Share: copy and redistribute the material in any medium or format
- Adapt: remix, transform, and build upon the material for any purpose, including commercially
provided that appropriate credit is given to the original author and source, a link to the licence is included, and any changes made are indicated.
Full licence text: https://creativecommons.org/licenses/by/4.0/
Self-archiving
Authors may deposit any version of their work, whether the submitted manuscript, the accepted manuscript, or the published version of record, in an institutional repository, a subject repository, a personal or departmental website, or a scholarly networking site, at any time and with no embargo period. Authors are asked to include the article's DOI and a citation to the published version.
How to Cite
References
Al Ahmad, M., Rudeloff, C., & Bronstein, J. (2024). The interplay of parasocial interaction, source credibility and homophily for influencer marketing success in the Middle East. Journal of Cultural Marketing Strategy, 9(1), 34–44.
Bem, S. L. (1981). Gender schema theory: A cognitive account of sex typing. Psychological Review, 88(4), 354–364. https://doi.org/10.1037/0033-295X.88.4.354
Boerman, S. C., Willemsen, L. M., & Van Der Aa, E. P. (2017). “This post is sponsored”: Effects of sponsorship disclosure on persuasion knowledge and electronic word of mouth in the context of Facebook. Journal of Interactive Marketing, 38, 82–92. https://doi.org/10.1016/j.intmar.2016.12.002
Brislin, R. W. (1986). The wording and translation of research instruments. In W. J. Lonner & J. W. Berry (Eds.), Field methods in cross-cultural research (pp. 137–164). Sage Publications.
Cheung, C. M., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461–470. https://doi.org/10.1016/j.dss.2012.06.008
Da’na, R. (2024). Influencer marketing in Palestine [Master’s thesis, Palestine Polytechnic University]. PPU Digital Repository. http://dspace.ppu.edu/handle/123456789/8700
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149
Friestad, M., & Wright, P. (1994). The persuasion knowledge model: How people cope with persuasion attempts. Journal of Consumer Research, 21(1), 1–31. https://doi.org/10.1086/209380
Fugate, D. L., & Phillips, J. (2010). Product gender perceptions and antecedents of product gender congruence. Journal of Consumer Marketing, 27(3), 251–261. https://doi.org/10.1108/07363761011038315
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing (pp. 277-319). Emerald Group Publishing Limited.
Homans, C. (1958). Social behavior as exchange. American Journal of Sociology, 63(6), 597–606. https://doi.org/10.1086/222355
Horton, D., & Wohl, R. R. (2016). Mass communication and para-social interaction: Observations on intimacy at a distance. Psychiatry, 19(3), 215–229. https://doi.org/10.1080/00332747.1956.11023049
Hudders, L., & De Jans, S. (2021). Gender effects in influencer marketing: The efficacy of same- versus other-gender endorsements on Instagram. International Journal of Advertising, 40(6), 947–977. https://doi.org/10.1080/02650487.2021.1997455
Hwang, K., & Zhang, Q. (2018). Influence of parasocial relationship between digital celebrities and their followers on followers’ purchase and electronic word-of-mouth intentions, and persuasion knowledge. Computers in human behavior, 87, 155-173.
Kelman, H. C. (1958). Compliance, identification, and internalization: Three processes of attitude change. Journal of Conflict Resolution, 2(1), 51–60. https://doi.org/10.1177/002200275800200106
Kline, R. B. (2023). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
Lee, J. E., & Watkins, B. (2016). YouTube vloggers' influence on consumer luxury brand perceptions and intentions. Journal of Business Research, 69(12), 5753–5760. https://doi.org/10.1016/j.jbusres.2016.04.171
Lou, C., & Yuan, S. (2019). Influencer marketing: How message value and credibility affect consumer trust and purchase intention. Journal of Interactive Advertising, 19(1), 58–73. https://doi.org/10.1080/15252019.2018.1533501
Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39–52. https://doi.org/10.1080/00913367.1990.10673191
Scarpi, D. (2021). The Importance of Consumer Engagement In Brand Heritage Advertising: How Feeling Close to a Brand Can Increase Willingness to Pay More. Journal of Advertising Research, 61(3), 334–345. https://doi.org/10.2501/JAR-2021-005
Sesar, V., Martinčević, I., & Hunjet, A. (2022). How influencer credibility and advertising disclosure affect purchase intention. ENTRENOVA – ENTerprise REsearch InNOVAtion, 8(1), 248–263. https://doi.org/10.54820/entrenova-2022-0023
Shupei Yuan & Chen Lou (2020): How Social Media Influencers Foster Relationships with Followers: The Roles of Source Credibility and Fairness in Parasocial Relationship and Product Interest, Journal of Interactive Advertising, DOI: 10.1080/15252019.2020.1769514.
Sokolova, K., & Kefi, H. (2020). Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services, 53, 101742. https://doi.org/10.1016/j.jretconser.2019.01.011
Wang, Y., Yu, Q., & Fesenmaier, D. R. (2002). Defining the virtual tourist community: implications for tourism marketing. Tourism management, 23(4), 407-417.
Weismueller, J., Harrigan, P., Wang, S., & Soutar, G. N. (2020). Influencer endorsements: How advertising disclosure and source credibility affect consumer purchase intention on social media. Australasian Marketing Journal, 28(4), 160–170. https://doi.org/10.1016/j.ausmj.2020.03.002