Trust and Privacy Concerns as Antecedents of Purchase Intention among Shopee Users in Batangas City, Philippines

This study examines the influence of trust and privacy concerns on the purchase intentions of Shopee users in Batangas City, a rapidly ‎urbanizing area in the Philippines with growing engagement in digital commerce. Guided by the Trust and Privacy Concerns Model, a ‎descriptive–correlational design was employed using a structured survey of 172 respondents selected through stratified proportional random ‎sampling. Data were analyzed using descriptive statistics, ANOVA, t tests, and structural equation modeling. Results reveal that trust exerts ‎a significant and positive effect on purchase intention, while privacy concerns show a negative but non-significant influence. Security, ease ‎of use, and perceived usefulness emerged as strong predictors of trust, whereas third party certification heightened privacy concerns. Trust ‎also mediated the relationship between platform features and purchase intention. From an applied sciences perspective, these findings ‎highlight that functional trust mechanisms—secure systems, user friendly interfaces, and transparent data practices—are more effective than ‎symbolic privacy cues in shaping consumer behavior. The study contributes to applied information systems research by demonstrating how ‎platform-level trust mechanisms directly shape consumer purchase intention‎.

Authors

Institutions

Publication Details

Journal
International Journal of Basic and Applied Sciences
Published
2025-12-21
DOI
https://doi.org/10.14419/ybyw7663
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trust and Privacy Concerns as Antecedents of Purchase Intention among Shopee Users in Batangas City, Philippines

Nickie Boy A. Manalo, Gina D. Bonifacio, Jackielyn C. Falcatan, Prue ‎Dominique C. Valdez et al.
International Journal of Basic and Applied Sciences
Technology Adoption and User Behaviour
article

Trust and Privacy Concerns as Antecedents of Purchase Intention among Shopee Users in Batangas City, Philippines

Nickie Boy A. Manalo, Gina D. Bonifacio, Jackielyn C. Falcatan, Prue ‎Dominique C. Valdez, Randy M. Macalindong, Dr. Gemar G. Perez, Janna Lean Mae M. Lascano, Olan F. Cabangon, Mary-Ann E. Hernandez, Leo C. Calbayar
article en

Abstract

This study examines the influence of trust and privacy concerns on the purchase intentions of Shopee users in Batangas City, a rapidly ‎urbanizing area in the Philippines with growing engagement in digital commerce. Guided by the Trust and Privacy Concerns Model, a ‎descriptive–correlational design was employed using a structured survey of 172 respondents selected through stratified proportional random ‎sampling. Data were analyzed using descriptive statistics, ANOVA, t tests, and structural equation modeling. Results reveal that trust exerts ‎a significant and positive effect on purchase intention, while privacy concerns show a negative but non-significant influence. Security, ease ‎of use, and perceived usefulness emerged as strong predictors of trust, whereas third party certification heightened privacy concerns. Trust ‎also mediated the relationship between platform features and purchase intention. From an applied sciences perspective, these findings ‎highlight that functional trust mechanisms—secure systems, user friendly interfaces, and transparent data practices—are more effective than ‎symbolic privacy cues in shaping consumer behavior. The study contributes to applied information systems research by demonstrating how ‎platform-level trust mechanisms directly shape consumer purchase intention‎.

International Journal of Basic and Applied SciencesVol. 14(8)
Batangas State University (PH)
Sustainable cities and communities
Openalex Percentile: Top 16%
Technology Adoption and User Behaviour
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.