Title: Understanding residents' continued usage intention of community sharing platforms in smart communities in a post-COVID era: evidence from China

Authors: Minghua He

Addresses: College of Education, Jinggangshan University, 28 XueYuan Road, Ji'an City, Jiangxi Province, China

Abstract: A community sharing platform has demonstrated its significant role in prevention and control of COVID-19 pandemic in communities throughout China. Despite its increasing popularity, the widespread adoption and continued usage intention of smart community sharing platforms by the residents is still far underexplored. Thus, this study applied the technology acceptance model (TAM) as the research framework to empirically investigate the factors influencing residents' continued intention to use community sharing platforms in the post-COVID era. Empirical results show that perceived ease of use, perceived usefulness and sharing attitude significantly impact residents' continued intention to use smart community sharing platforms and that residents' education level significantly moderates the relationships between the three kinds of antecedents and continued usage intention. This study contributes to the literature in the field of smart communities and provides practical implications for governments and platform operators to achieve sustainable development of community sharing platforms.

Keywords: community sharing platform; smart communities; continued usage intention; technology acceptance model; TAM; China.

DOI: 10.1504/IJNVO.2022.124765

International Journal of Networking and Virtual Organisations, 2022 Vol.26 No.4, pp.268 - 290

Received: 09 Nov 2021
Accepted: 10 Mar 2022
Published online: 08 Aug 2022 *

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