Exploring the Role of Social Media Influencers in Shaping Consumer Purchase Intentions: Evidence from Emerging Markets

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Published: 2026-05-05
Keywords:
Social media influencers, Parasocial interaction, Source credibility, Persuasion knowledge, Consumer behaviour, Emerging markets

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Nour El-Din Al-Khawaldeh
Universiti Malaysia Terengganu, Malaysia, P5129@pps.umt.edu.my
Mohammad Ali Alsarayreh
Al al-Bayt University image/svg+xml
Majd Ibrahim Alzboon

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

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Vol. 1 No. 1 (2026): Inaugural Issue

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Articles

How to Cite

Exploring the Role of Social Media Influencers in Shaping Consumer Purchase Intentions: Evidence from Emerging Markets. (2026). Marketing Science & Practice Journal, 1(1). https://enbtr.com/index.php/MSPRJ/article/view/10

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