To read this content please select one of the options below:

Trust development in live streaming commerce: interaction-based building mechanisms and trust transfer perspective

Yanhong Chen (Information Science School, Guangdong University of Finance and Economics, Guangzhou, China)
Man Li (Information Science School, Guangdong University of Finance and Economics, Guangzhou, China)
Aihui Chen (College of Management and Economics, Tianjin University, Tianjin, China) (Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, China)
Yaobin Lu (School of Management, Huazhong University of Science and Technology, Wuhan, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 27 August 2024

Issue publication date: 10 December 2024

481

Abstract

Purpose

Live streaming commerce has emerged as an essential strategy for vendors to effectively promote their products due to its unique content presentation and real-time interaction. This study aims to investigate the influence of viewer-streamer interaction and viewer-viewer interaction on consumer trust and the subsequent impact of trust on consumers' purchase intention within the live streaming commerce context.

Design/methodology/approach

A survey questionnaire was conducted to collect data, and 403 experienced live streaming users in China were recruited. Covariance-based structural equation modeling (CB-SEM) was used for data analysis.

Findings

The results indicated that viewer-streamer interaction factors (i.e., personalization and responsiveness) and viewer-viewer interaction factors (i.e., co-viewer involvement and bullet-screen mutuality) significantly influence trust in streamers and co-viewers. Additionally, drawing on trust transfer theory, trust in streamers and co-viewers positively influences trust in products, while trust in co-viewers also positively influences both trust in streamers and products. Furthermore, all three forms of trust positively impact consumers' purchase intentions.

Originality/value

This study enriches the extant literature by investigating interaction-based trust-building mechanisms and uncovering the transfer relationships among three trust targets (streamers, co-viewers and products). Furthermore, this study provides some practical guidelines to the streamers and practitioners for promoting consumers’ trust and purchase intention in live streaming commerce.

Keywords

Acknowledgements

Funding: This work was supported jointly by the grant of National Natural Science Foundation of China (72271182 ), the grant of National Social Science Foundation of China (22VRC153) and the Project of Philosophy and Social Science Planning of GuangDong (GD20CGL47 and GD21YGL16).

Citation

Chen, Y., Li, M., Chen, A. and Lu, Y. (2024), "Trust development in live streaming commerce: interaction-based building mechanisms and trust transfer perspective", Industrial Management & Data Systems, Vol. 124 No. 12, pp. 3218-3239. https://doi.org/10.1108/IMDS-09-2023-0633

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

Related articles