@article{ART003300044},
author={Hyeong-Min Kim},
title={The Impact of Trust and Fairness Perception on Continuance Intention in AI Recommendation: The Moderating and Moderated Mediating Effects of Algorithmic Transparency},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2026},
volume={31},
number={1},
pages={25-39}
TY - JOUR
AU - Hyeong-Min Kim
TI - The Impact of Trust and Fairness Perception on Continuance Intention in AI Recommendation: The Moderating and Moderated Mediating Effects of Algorithmic Transparency
JO - Journal of The Korea Society of Computer and Information
PY - 2026
VL - 31
IS - 1
PB - The Korean Society Of Computer And Information
SP - 25
EP - 39
SN - 1598-849X
AB - As AI recommendation services become widespread, concerns about fairness, trust, and transparency have become central to understanding user acceptance. This study analyzes how users’ fairness perception influences trust and continuance intention, and assesses the moderating and mediated roles of algorithmic transparency using data from the 2024 Intelligent Information Society Panel Survey.
PLS-SEM results indicate that fairness perception significantly enhances both trust and continuance intention, and that trust strongly predicts continued use. Trust also mediates the fairness–continuance link, while algorithmic transparency strengthens the fairness–trust relationship. These findings highlight the importance of the fairness–trust–transparency interplay in shaping user responses and provide practical implications for transparent algorithm design and improved accessibility for vulnerable groups.
KW - AI recommendation services;Fairness perception;Trust;Continuance intention;;Algorithmic transparency
DO -
UR -
ER -
Hyeong-Min Kim. (2026). The Impact of Trust and Fairness Perception on Continuance Intention in AI Recommendation: The Moderating and Moderated Mediating Effects of Algorithmic Transparency. Journal of The Korea Society of Computer and Information, 31(1), 25-39.
Hyeong-Min Kim. 2026, "The Impact of Trust and Fairness Perception on Continuance Intention in AI Recommendation: The Moderating and Moderated Mediating Effects of Algorithmic Transparency", Journal of The Korea Society of Computer and Information, vol.31, no.1 pp.25-39.
Hyeong-Min Kim "The Impact of Trust and Fairness Perception on Continuance Intention in AI Recommendation: The Moderating and Moderated Mediating Effects of Algorithmic Transparency" Journal of The Korea Society of Computer and Information 31.1 pp.25-39 (2026) : 25.
Hyeong-Min Kim. The Impact of Trust and Fairness Perception on Continuance Intention in AI Recommendation: The Moderating and Moderated Mediating Effects of Algorithmic Transparency. 2026; 31(1), 25-39.
Hyeong-Min Kim. "The Impact of Trust and Fairness Perception on Continuance Intention in AI Recommendation: The Moderating and Moderated Mediating Effects of Algorithmic Transparency" Journal of The Korea Society of Computer and Information 31, no.1 (2026) : 25-39.
Hyeong-Min Kim. The Impact of Trust and Fairness Perception on Continuance Intention in AI Recommendation: The Moderating and Moderated Mediating Effects of Algorithmic Transparency. Journal of The Korea Society of Computer and Information, 31(1), 25-39.
Hyeong-Min Kim. The Impact of Trust and Fairness Perception on Continuance Intention in AI Recommendation: The Moderating and Moderated Mediating Effects of Algorithmic Transparency. Journal of The Korea Society of Computer and Information. 2026; 31(1) 25-39.
Hyeong-Min Kim. The Impact of Trust and Fairness Perception on Continuance Intention in AI Recommendation: The Moderating and Moderated Mediating Effects of Algorithmic Transparency. 2026; 31(1), 25-39.
Hyeong-Min Kim. "The Impact of Trust and Fairness Perception on Continuance Intention in AI Recommendation: The Moderating and Moderated Mediating Effects of Algorithmic Transparency" Journal of The Korea Society of Computer and Information 31, no.1 (2026) : 25-39.
