Ilomata International Journal of Management
Vol. 7 No. 1 (2026): January 2026

Social Media Influencer Attributes’ Impact on Generation Z Filipino Consumers’ Perceived Parasocial Relationships and Purchasing Behavior

Balatero, Ma Veronica (Unknown)



Article Info

Publish Date
27 Jan 2026

Abstract

This study investigates the role of social media influencers (SMIs) in shaping the purchasing behavior of Filipino Generation Z consumers, with particular emphasis on how influencer attributes foster parasocial relationships (PSRs) that drive online shopping. A quantitative-descriptive research design was employed using survey data collected from 380 Generation Z respondents in San Fernando, La Union. The data were analyzed using descriptive statistics, the Mann-Whitney U test, and Spearman’s rho correlation. The results revealed that nano-influencers (with 0–10,000 followers) are the most effective in establishing trust and emotional connections with their audiences. Influencer attributes, including authenticity, content style, perceived fit, and popularity, were identified as key drivers of engagement. Gender differences were observed in the strength of PSRs, with higher levels reported among female respondents, although no significant differences were found in purchasing behavior. The study concludes that relatable and emotionally resonant influencers play a central role in influencing Generation Z’s online purchasing decisions. It recommends that brands prioritize collaborations with credible nano-influencers to enhance consumer trust and loyalty. By situating these findings within the Philippine context, the research contributes to the literature on influencer marketing and offers practical implications for post-pandemic digital strategies.

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Journal Info

Abbrev

ijjm

Publisher

Subject

Social Sciences

Description

The analysis of this study aims to determine whether recruitment positive and significant effect on the performance of employees in the Manufacturing Company. To know able to moderate recruitment monitoring the performance of employees in the Manufacturing Company. Data analysis technique used is ...