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Understanding Continuance Usage Intention of Shopping Guide Apps in Social Commerce

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HCI International 2021 - Late Breaking Posters (HCII 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1499))

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Abstract

Shopping guide Apps emerge as a new type of social commerce tool, which provide accurate personalized recommendation functions that reduce the online shopping risk caused by information asymmetry through information sharing, and achieve the shopping requirements with “lower search cost”. Yet our knowledge on shopping guide Apps and users’ attitude and behavior is very limited. Drawing on the Information System Success Model and Expectation Confirmation Theory, we develop a research model to investigate how system quality, service quality, information quality and social interaction quality affect shopping guide APP users’ satisfaction and continuance usage intention. Data has been collected from 275 respondents and analyzed with SmartPLS 3.2.9. Findings indicate that service, social and social interaction quality positively affect satisfaction, while information, service and system quality positively affect consumers’ continuous usage intention. Additionally, satisfaction is an important predictor of the continuance usage intention. Potential theoretical and practical contributions are also discussed.

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Acknowledgment

This study was supported by the Fundamental Research Funds for the Central Universities No. NR2021003 awarded to the second author; this study was also supported by the Fundamental Research Funds for the Central Universities: No. 2021EC09 awarded to the first author and the Creative Studio of Electronic Commerce in Nanjing University of Aeronautics and Astronautics.

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Authors and Affiliations

  1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Shuo Zhang, Lili Liu, Mingzhu Li, Qianru Tao, Ruoqi Zhang & Yunguo Xia

Authors
  1. Shuo Zhang
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  2. Lili Liu
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  3. Mingzhu Li
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  4. Qianru Tao
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  5. Ruoqi Zhang
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  6. Yunguo Xia
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Corresponding author

Correspondence to Lili Liu .

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Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

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Zhang, S., Liu, L., Li, M., Tao, Q., Zhang, R., Xia, Y. (2021). Understanding Continuance Usage Intention of Shopping Guide Apps in Social Commerce. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Late Breaking Posters. HCII 2021. Communications in Computer and Information Science, vol 1499. Springer, Cham. https://doi.org/10.1007/978-3-030-90179-0_53

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  • DOI: https://doi.org/10.1007/978-3-030-90179-0_53

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