The Effect of AI Skin Diagnosis Service Quality on AI Source Credibility, Brand Trust, and Purchase Intention: Focusing on a Trust Transfer-Based Serial Mediation Model
Aug 2026· Journal of the Korean Society of Cosmetology· 0 citations· 34 references
TL;DR
The findings reveal that service quality positively affected AI source credibility, brand trust, and purchase intention, and suggest that trust in AI systems can be transferred to brand trust.
Abstract
This study investigated the effect of AI skin diagnosis service quality on purchase intention through AI source credibility and brand trust. Data were collected from 250 consumers with AI skin diagnosis experience, and confirmatory factor analysis, path analysis, and bootstrap mediation analysis were conducted. The findings revealed that service quality positively affected AI source credibility, brand trust, and purchase intention. In addition, the serial mediation effect was statistically significant. These results suggest that trust in AI systems can be transferred to brand trust. This study extends source credibility theory to AI-based non-human information sources and suggests that explainability and consistency in AI services are essential for strengthening brand trust.
This study aims to investigate how content credibility and perceived authenticity influence purchase intention, specifically examining the mediating role of consumer trust in the context of AI-generated digital advertising for the online travel platform Agoda. Utilizing a quantitative explanatory design, data were coll...
This study examines how cultural values and AI-driven influencer credibility influence trust, attachment, and decision confidence among young consumers in Ghana's beauty and fashion sector and extends Source Credibility Theory to AI agents in an emerging market.
Ebenezer Arthur Duncan, W. Inkumsah, Rockson Opare-Boateng· Frontiers in Communication· 0 citations
This study examines associations between exposure to AI-generated social media content and verification intention, with trust as an intervening statistical pathway and AI literacy as a moderator. A quantitative cross-sectional survey yielded 1,150 valid responses from a geographically diverse, university-centered conve...
Alaa Turki Al-Mugheed, I. Hatamleh· Frontiers in Human Dynamics· 0 citations
The commercialization of influencer marketing may reduce audience trust in TikTok influencers. This study examines the effects of perceived brand control and perceived commercial orientation on trust in influencers through post credibility. Using a quantitative approach, data were collected from 100 TikTok users throug...
R. Putra, Lusia Tria Hatmanti Hutami, N. K. Ningrum· Jurnal Manajemen Motivasi· 0 citations
This study aimed to investigate the part of influencer credibility on consumer doubt, brand trust, and customer loyalty. This is a quantitative correlational study. The study was conducted among 450 young adults, with ages between 18 and 30 years old. The data were collected by using convenience sampling technique. Dat...
N. Ijaz, Sadia Malik· Pakistan Journal of Positive...· 0 citations
Social media influencers (SMIs) have now evolved as a pivotal player in digital marketing but the influence on consumer trust and buying behavior is only partially understood. This study focuses on the relationship between perceived engagement and authenticity of influencers and their trust and through trust, purchase...
Mohammad Ali, Muhammad Zia Ul Haq, Sanaz Farhad et al.· journal of social sciences r...· 0 citations
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.