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자료유형
학술저널
저자정보
저널정보
국제인공지능학회 The International Journal of Advanced Smart Convergence The International Journal of Advanced Smart Convergence Vol.10 No.4
발행연도
수록면
183 - 197 (15page)

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초록· 키워드

Xiaohongshu is called China's Instagram and is leading overseas product purchases and culture sharing. The purpose of this study is to investigate the structural relationship between Xiaohongshu service quality, emotional response perceived by users, and adhesion to confirm the impact on Xiaohongshu's adhesion at a time when non-face-to-face activities due to COVID-19 have increased. This study distributed and collected questionnaires from October 1st to October 7th, 2021, targeting 210 online shopping mall users. The research results were derived from a total of 206 questionnaires, excluding 4 questionnaires such as omission of record contents, and the causal relationship of the existing PAD model was attempted to be reported by revising and supplementing the existing PAD model. As a result of the study, first, it was confirmed that design among service quality had a positive effect only on ventilation during the user's emotional response. Second, it was confirmed that information among service quality had a positive effect on pleasure and ventilation among users' emotional responses. Third, it was found that security among service quality had a positive effect on pleasure among users' emotional responses. Finally, it was found that pleasure and ventilation had a positive effect on adhesion in the user's emotional response. Based on this result, it is expected that it will be used for operation on other online platforms than the plan for the development of Xiaohongshu.
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목차

  1. Abstract1. Introduction2. Theoretical Background2.1 Service Quality of Xiaohongshu2.2 PAD (Pleasure, Arousal, Dominance)2.3 Stickiness3. Research Method3.1 Sample Design and Measurement Tools3.2 Research Hypothesis3.3 Analysis Method4. Analysis Results4.1 Characteristics of Samples4.2 Reliability and Validity of the Measurement Items4.3 Goodness-of-fit Test in Measurement Model4.4 Results of Research Model Verification5. ConclusionReferences

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