Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

THE EFFECT OF INFLUENCER CHARACTERISTICS ON PURCHASE BEHAVIOR: A PLS-SEM ANALYSIS

Authors: Sakarya, Burcu;

THE EFFECT OF INFLUENCER CHARACTERISTICS ON PURCHASE BEHAVIOR: A PLS-SEM ANALYSIS

Abstract

In recent years, the rapid spread of social media on a global scale has significantly changed the dynamics of digital marketing, and in particular the critical role of influencers in product and service promotion. This study aims to examine the influence of variables such as attitudes towards influencers, influencers' physical and social attractiveness, their expertise, credibility, and the brand image of the products they promote on influencers' intentions to purchase products or services. The research envisages analyzing these relationships through a structural model. In the model, attitude towards influencers, physical and social attractiveness are defined as exogenous latent variables, while trust in influencers, their expertise and the brand image of the promoted brand are identified as mediating endogenous latent variables. The sample of the study consists of 306 users who follow at least one influencer on social media. Data were collected through online surveys. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the hypotheses and evaluate the fit of the model. The findings show that the fit of the proposed model is within acceptable limits and only two hypotheses are not supported. The strongest relationships are between attitude towards influencers and influencers' expertise, between the attractiveness of influencers and the image of the promoted brand, and between brand image and purchase intention.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average