Examining the Impact of Influencer Attributes on Consumer Trust and Purchase Intention: A PLS Path Modeling Approach

Authors

  • Abdelmounaim Kerkri Engineering Sciences Laboratory LSI, National School of Applied Sciences, Mohammed Premier University
  • Mohamed Amine Madani Engineering Sciences Laboratory LSI, National School of Applied Sciences Mohammed Premier University
  • Dani Mohamed National School of Applied Sciences, Mohammed Premier University
  • Yahya Mdarhri National School of Applied Sciences, Mohammed Premier University

DOI:

https://doi.org/10.7903/cmr.23860

Keywords:

Social media influencer, Trust, Perceived authenticity, Informativeness, PLS path modeling, Unsupervised machine learning

Abstract

Using social media influencers (SMIs) for marketing has become increasingly popular among brands as a way to expand their reach and connect with a broader audience. In this study, we investigate the influence of perceived authenticity, attractiveness, and informativeness on the content, purchase intention, and brand awareness of Moroccan SMIs, with trust serving as a mediating factor. We employed a research model with six specific hypotheses, utilizing PLS path modeling and 30 validated metrics from the existing literature to test these relationships rigorously. We surveyed 291 Moroccan consumers who follow at least one SMI. We found that both the attractiveness and informativeness of SMIs' content impact trust, which in turn influences purchase intention for the advertised product or service. However, perceived authenticity does not significantly impact trust in SMI content. A k-means clustering analysis was conducted on our respondents, yielding exciting patterns regarding SMIs' ability to influence purchase intention.

Author Biographies

Abdelmounaim Kerkri, Engineering Sciences Laboratory LSI, National School of Applied Sciences, Mohammed Premier University

Prof. Kerkri Abdelmounaim (Corresponding author) received his PhD in PLS regression from Mohammed First University. He has 11 years of teaching experience, including his years as a graduate student. He is currently a professor at the National School of Applied Sciences, where he specializes in statistics and data science. Among his interests are path modeling and social media marketing. He has a keen interest in exploring the complexities of these topics, and his research has focused on using PLS regression to better understand the relationships between different variables in social media marketing.

Mohamed Amine Madani, Engineering Sciences Laboratory LSI, National School of Applied Sciences Mohammed Premier University

Dr. Mohamed Amine Madani holds a Ph.D. in Computer Science, with a focus on cloud security applications. After completing his doctoral studies, he shifted his attention to the practical aspects of data science. He currently works at the National School of Applied Sciences in Oujda, where he continues to explore his interests and contribute to the academic community.

Dani Mohamed, National School of Applied Sciences, Mohammed Premier University

Dr. Yahya Mdarhri is a data science and cloud computing engineer from the National School of Applied Sciences in Oujda (ENSAO), Morocco. His main interests are big data and machine learning applications.

Yahya Mdarhri, National School of Applied Sciences, Mohammed Premier University

Dr. Mohamed Dani is a data science and cloud computing engineer from the National School of Applied Sciences in Oujda (ENSAO), Morocco. His main interests are the applications of machine learning to solving real-world problems.

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Published

2025-12-20

How to Cite

Kerkri, A., Madani, M. A., Mohamed, D., & Mdarhri, Y. (2025). Examining the Impact of Influencer Attributes on Consumer Trust and Purchase Intention: A PLS Path Modeling Approach. Contemporary Management Research, 21(2), 127–129. https://doi.org/10.7903/cmr.23860

Issue

Section

Regular Paper

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