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Article
Publication date: 22 January 2024

Shoukai Jiao, Xianliang Wang, Chao Ma and Yiran Deng

Based on the “S-O-R” and attachment theories, this paper constructs a research model of the platform attribute factors of sports short video live e-commerce on consumers'…

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Abstract

Purpose

Based on the “S-O-R” and attachment theories, this paper constructs a research model of the platform attribute factors of sports short video live e-commerce on consumers' psychological conditions, and explores how platform attributes affect consumer behavior through consumer attachment.

Design/methodology/approach

The study carried out questionnaire survey through the “snowball” method, and a total of 422 valid questionnaires were collected. The paper uses SPSS 26.0 and AMOS 26.0 to adapt the data and model, and adopts the method of structural equation modeling for analysis.

Findings

The research results show that the interactivity, identity, personalization and entertainment of live sports e-commerce platforms can actively stimulate consumer attachment, and directly drive their consumption behavior through their attachment.

Practical implications

Examining the platform attributes and system functions of short video live broadcast e-commerce from the perspective of consumer attachment can help sports e-commerce understand consumers' needs and satisfaction with the functions provided by the platform. Through timely optimization and improvement of system functions, the platform will make the connection between consumers and e-commerce closer, thereby increasing consumer stickiness and promoting the vigorous development of sports e-commerce.

Originality/value

This study identified and defined the platform attributes contained in the sports live broadcast e-commerce platform, combined the S-O-R model with the attachment theory, expanded the analytical framework of the S-O-R theory and made contributions to the extension of the attachment theory.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

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