earticle

논문검색

Culture Information Technology (CIT)

Investigating Continuous Usage Intention of Xiaohongshu Live Commerce for Health Functional Products: An Integration of ECM and TTF Theories

초록

영어

Xiaohongshu, a community-centric social media platform, has pioneered a unique e-commerce model known as 'buyer commerce,' leveraging user-generated content (UGC). Distinctively, Xiaohongshu Live Commerce focuses on fostering deep user relationships and providing superior product and information services, crucial for sustained consumer engagement. This study investigates consumer behavior in purchasing health functional foods via Xiaohongshu Live Commerce, aiming to understand the determinants of continuous usage intention. A novel theoretical framework was devised by integrating the Expectation Confirmation Model (ECM) and the Task-Technology Fit (TTF) model. The research model scrutinizes the impact of Xiaohongshu Live Commerce characteristics, such as perceived usefulness and perceived online intimacy, on tasktechnology fit. Additionally, it examines the moderating role of perceived risk specific to health functional foods and the influence of expectation confirmation on perceived usefulness, online intimacy, and tasktechnology fit, alongside their effects on satisfaction and continuous usage intention. The findings reveal that expectation confirmation positively influences perceived usefulness, online intimacy, and task-technology fit. Perceived usefulness significantly enhances task-technology fit, while perceived online intimacy and risk do not significantly affect task-technology fit. Moreover, perceived usefulness and intimacy positively impact consumer satisfaction and continuous usage intention, with task-technology fit playing a pivotal role. Perceived risk moderates the relationship between perceived usefulness and task-technology fit. These insights suggest that companies can augment consumer satisfaction and continuous usage intentions by enhancing the perceived usefulness of technology, effectively managing perceived risks, and continually improving user experience

목차

Abstract
1. INTRODUCTION
2. THEORY
2.1. Expectation confirmation model (ECM)
2.2. Task-Technology Fit (TTF)
3. Conceptual model and hypotheses
4. Methodology
4.1. Sample
4.2. Measures
4.3. Demographic Characteristics
5. RESULTS
5.1. Measurement Model Evaluation
5.2. Structural model assessment
5.3. Verification of regulatory effects
6. CONCLUSION AND DISCUSSION
References

저자정보

  • Geng Yingjie Master’s Student, Division of Communication & Media, Ewha Womans University
  • He Yang Master’s Student, Division of Communication & Media, Ewha Womans University
  • Ding Hongyi Master’s Student, Division of Communication & Media, Ewha Womans University
  • Chen, Mingyuan Ph. D Student, Division of Communication & Media, Ewha Womans University
  • Yoo, Seungchul Professor, Division of Communication & Media, Ewha Womans University

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,500원

      0개의 논문이 장바구니에 담겼습니다.