The Impact of Information Recommendation Services on Online Purchase Intention: A SOR Model Perspective within the Context of Chinese Face Culture

This study investigates the influence of information recommendation services on consumers' online shopping intentions within the context of Chinese cultural values. Utilising the Stimulus-Organism-Response (SOR) theoretical model, the research explores how factors such as information arrangement, visual attraction, information reliability, degree of personalization, and face consciousness satisfaction affect consumers' emotional responses – namely perceived pleasure and perceived arousal – and, in turn, influence their purchasing intentions. Empirical evidence from 208 valid responses was collected and analysed using structural equation modelling and bootstrapping techniques to test the proposed hypotheses. The findings reveal that information reliability, personalization, and face consciousness significantly impact consumers' emotional states, while perceived arousal plays a vital mediating role in translating these emotional responses into actual shopping intentions. this study provides actionable insights for e-commerce platforms seeking to optimise personalised recommendation strategies, enhance user experience, and align marketing practices with cultural nuances in China.

Authors

Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-08-20
DOI
https://doi.org/10.64252/yerjaw78
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Information Recommendation Services on Online Purchase Intention: A SOR Model Perspective within the Context of Chinese Face Culture

Asad ur Rehman, Z. Yang
International Journal of Environmental Sciences
Digital Marketing and Social Media
article

The Impact of Information Recommendation Services on Online Purchase Intention: A SOR Model Perspective within the Context of Chinese Face Culture

Asad ur Rehman, Z. Yang
article en

Abstract

This study investigates the influence of information recommendation services on consumers' online shopping intentions within the context of Chinese cultural values. Utilising the Stimulus-Organism-Response (SOR) theoretical model, the research explores how factors such as information arrangement, visual attraction, information reliability, degree of personalization, and face consciousness satisfaction affect consumers' emotional responses – namely perceived pleasure and perceived arousal – and, in turn, influence their purchasing intentions. Empirical evidence from 208 valid responses was collected and analysed using structural equation modelling and bootstrapping techniques to test the proposed hypotheses. The findings reveal that information reliability, personalization, and face consciousness significantly impact consumers' emotional states, while perceived arousal plays a vital mediating role in translating these emotional responses into actual shopping intentions. this study provides actionable insights for e-commerce platforms seeking to optimise personalised recommendation strategies, enhance user experience, and align marketing practices with cultural nuances in China.

International Journal of Environmental Sciences
Openalex Percentile: Top 68%
Digital Marketing and Social Media
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.

The Impact of Information Recommendation Services on Online Purchase Intention: A SOR Model Perspective within the Context of Chinese Face Culture — Asad ur Rehman, Z. Yang · International Journal of Environmental Sciences (2025) | TGRS Research Map | TGRS