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The Differential Effects of Explainability and Social Influence on Consumer Behavioral Intention through Multidimensional Trust in AI Book Recommendation Services

  • Industry Promotion Research
  • Abbr : IPR
  • 2026, 11(2), pp.237~250
  • DOI : 10.21186/IPR.2026.11.2.237
  • Publisher : Industrial Promotion Institute
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : April 8, 2026
  • Accepted : April 17, 2026
  • Published : April 30, 2026

Heonjun Kim 1 Youngwook Seo 1

1대전대학교

Accredited

ABSTRACT

This study examines how explainability and social influence affect platform loyalty and recommended-book purchase intention through three dimensions of AI recommendation trust—competence, benevolence, and integrity—within the S-O-R framework. Survey data from 350 Korean online bookstore users were analyzed using PLS-SEM. Results reveal two asymmetries. Explainability most strongly activated competence trust (β=0.432), while social influence most strongly activated integrity trust (β=0.484), a pattern not captured by single-dimension trust models. Competence and benevolence trust significantly predicted both outcomes, whereas integrity trust did not translate into behavioral responses despite strong formation. Eight indirect paths through competence and benevolence trust were fully mediated. These findings extend Mayer et al.’s (1995) trust model to AI-based recommendation by demonstrating antecedent activation and behavioral conversion asymmetries. Practically, the results highlight the importance of improving algorithms, leveraging explanation interfaces, and utilizing social influence to build long-term credibility.

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