TikTok-Driven Buying Patterns: A Study of Consumer Behavior among University Students in the Philippines

TikTok has transformed Generation Z’s consumer behavior through algorithm-driven content, viral trends, and influencer impact. This study examined TikTok’s influence on 345 university students in Cebu City, assessing exposure (time spent, frequency, user-generated content influence, engagement) and consumer behavior (purchase frequency, intention, brand loyalty, impulse buying). Due to significant non-normality confirmed by Shapiro-Wilk tests, Spearman’s rho was used to analyze relationships. Results revealed a significant positive correlation between TikTok exposure and buying behavior (ρ = 0.480, p < .001), with user-generated content exerting the strongest effect (ρ = 0.517). Impulse buying was notably influenced (ρ = 0.458), especially in fashion and personal care. Findings suggest marketers should leverage authentic peer content and influencer partnerships to engage Gen Z and build brand loyalty, while educators should promote digital literacy to help students critically assess content and control impulse purchases. TikTok serves as both an entertainment platform and a powerful marketing tool, highlighting the need for ethical marketing and informed consumer awareness.

Authors

Institutions

Publication Details

Journal
International Journal of Multidisciplinary Applied Business and Education Research
Published
2025-09-23
DOI
https://doi.org/10.11594/ijmaber.06.09.34
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
4.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TikTok-Driven Buying Patterns: A Study of Consumer Behavior among University Students in the Philippines

Peter G. Narsico, Lalaine O. Narsico, Jozette Sheen A. Jayma, Fiona Mae B. Codilla et al.
1 citations
International Journal of Multidisciplinary Applied Business and Education Research
Technology Adoption and User Behaviour
4.17
article

TikTok-Driven Buying Patterns: A Study of Consumer Behavior among University Students in the Philippines

Peter G. Narsico, Lalaine O. Narsico, Jozette Sheen A. Jayma, Fiona Mae B. Codilla, Rhoda Mae E. Solon
article en
1 citations

Abstract

TikTok has transformed Generation Z’s consumer behavior through algorithm-driven content, viral trends, and influencer impact. This study examined TikTok’s influence on 345 university students in Cebu City, assessing exposure (time spent, frequency, user-generated content influence, engagement) and consumer behavior (purchase frequency, intention, brand loyalty, impulse buying). Due to significant non-normality confirmed by Shapiro-Wilk tests, Spearman’s rho was used to analyze relationships. Results revealed a significant positive correlation between TikTok exposure and buying behavior (ρ = 0.480, p < .001), with user-generated content exerting the strongest effect (ρ = 0.517). Impulse buying was notably influenced (ρ = 0.458), especially in fashion and personal care. Findings suggest marketers should leverage authentic peer content and influencer partnerships to engage Gen Z and build brand loyalty, while educators should promote digital literacy to help students critically assess content and control impulse purchases. TikTok serves as both an entertainment platform and a powerful marketing tool, highlighting the need for ethical marketing and informed consumer awareness.

International Journal of Multidisciplinary Applied Business and Education ResearchVol. 6(9)
Cebu Institute of Technology University (PH)
Openalex Percentile: Top 5%
Technology Adoption and User Behaviour
4.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.