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The Impact of Online Review Attributes on Continuance Intention focusing on Taobao

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(11), pp.363~371
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 25, 2025
  • Accepted : October 23, 2025
  • Published : November 28, 2025

Jae-Young Moon 1

1동서대학교

Accredited

ABSTRACT

This study examines the influence of online review attributes on continuance intention on the Taobao platform. Online reviews provide critical information that shapes consumers’ product decisions and long-term usage intentions through perceived usefulness and trust. Using a survey of 224 Taobao users, structural equation modeling was applied to test the relationships between review attributes, perceived usefulness, perceived trust, and continuance intention. Findings indicate that review quantity, and similarity positively affect perceived usefulness and Reliability. Perceived reliability strongly predicts continuance intention, while perceived usefulness shows limited direct effect. These results highlight the importance of informative and reliable reviews in sustaining user loyalty. Practical implications include enhancing review quality, fostering consumer engagement, and employing AI-driven verification systems. Limitations involve the sample size, regional focus, and reliance on self-reported data, suggesting future research should explore diverse platforms and incorporate actual purchase behavior.

Citation status

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