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TAM Model Evidence for Online Social Commerce Purchase Intention

Zhang Ying, Zeng Jianqiu, Umair Akram, Hassan Rasool

Source Title: Information Resources Management Journal (IRMJ)34(1)

ISSN: 1040-1628|EISSN: 1533-7979|EISBN13: 9781799859123|DOI: 10.4018/IRMJ.2021010105

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MLA

Ying, Zhang, et al. "TAM Model Evidence for Online Social Commerce Purchase Intention." IRMJ vol.34, no.1 2021: pp.86-108. http://doi.org/10.4018/IRMJ.2021010105

APA

Ying, Z., Jianqiu, Z., Akram, U., & Rasool, H. (2021). TAM Model Evidence for Online Social Commerce Purchase Intention. Information Resources Management Journal (IRMJ), 34(1), 86-108. http://doi.org/10.4018/IRMJ.2021010105

Chicago

Ying, Zhang, et al. "TAM Model Evidence for Online Social Commerce Purchase Intention," Information Resources Management Journal (IRMJ) 34, no.1: 86-108. http://doi.org/10.4018/IRMJ.2021010105

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Abstract

The aim of this research is to use the Technology Acceptance Model (TAM) to investigate the potential antecedents of online purchase intention in social commerce environments. Data were collected from 513 online survey participants in China. Structural Equation Modeling (SEM) techniques was used to test the study hypotheses. The findings reveal that website quality, trust, and electronic Word Of Mouth (eWOM) positively influence online purchase intentions. Furthermore, perceived ease of use and perceived usefulness significantly and positively moderate the relationship between website quality and online purchase intention. These survey results help provide a more comprehensive understanding of online purchase intentions in social commerce in China. The findings and conclusion address notable implications for theory and managers.

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TAM Model Evidence for Online Social Commerce Purchase Intention

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