Challenges of digital advertising from the study of the influencers' phenomenon in social networks

CORPORATE COMMUNICATIONS(2023)

Cited 3|Views1
No score
Abstract
Purpose The aim of this paper is to study the challenges of digital advertising from the characterization of the influencer phenomenon based on the perceptions of two different and non-consecutive generations, explored from the perspective of parasocial relationships Design/methodology/approach Using a quantitative methodology design and a descriptive approach, a study is presented on a sample of 449 individuals belonging to two generational niches, generation Z (N = 227) and generation X (N = 222). For the study, characterization parameters have been defined based on existing literature, defining five-dimension conceptualization: strength, fairness, engagement, trustworthiness and social role. Findings The results point to a different perception of the phenomenon in some aspects that allow an intergenerational portrait of the figure of the influencer to be made. The findings of the study are innovative because they were not previously available and transcend academia to serve the companies that proliferate in the representation and management of influencers, as the characterization of this figure is important for the identification of key aspects in the adjustment of products and messages offered to a certain public of a specific population niche, both for advertising companies and for media and institutions. Originality/value The study reveals interesting challenges for digital advertising from the audience's perceptions about influencers, highlighting the relevance of influencers which clearly contributes to a better understanding of more efficient strategies on digital advertising.
More
Translated text
Key words
Social media, Influencer, Communication, Engagement, Gen Z, Gen X, Parasocial relationship, Digital advertising
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined