
Research on the Impact of the "Live Streaming+Short Video" Sales Model on the Purchasing Behavior of Sportswear
- 1 Fudan University
- 2 Fudan University
* Author to whom correspondence should be addressed.
Abstract
The "live streaming+short video" sales model, with its intuitive, interactive, and convenient characteristics, has had a profound impact on the shopping mode of sportswear. This article aims to analyze the impact of the "live streaming+short video" sales model on the purchasing behavior of sportswear, reveal the relationship and path between various influencing factors, and provide theoretical basis and practical guidance for sportswear brands to formulate more effective marketing strategies. Firstly, based on theoretical analysis, a relationship model was constructed between social influence, product information transparency, anchor credibility, promotional strategy influence, perceived trust, and purchasing behavior; Subsequently, a structural equation model was constructed based on questionnaire survey data to test the theoretical model. The empirical results show that social influence, product information transparency, anchor credibility, and promotional strategies can significantly and positively affect consumer purchasing behavior; Perceived trust plays a mediating role between the aforementioned factors and purchasing behavior. Based on empirical results, it is recommended that sportswear companies use social media for knowledge output to enhance their brand's social influence; Develop various product information disclosure plans to enhance product information transparency; Strengthen the selection of talents within the industry and cultivate professional and trustworthy anchors.
Keywords
short video, sell goods through livestreaming sportswear, perceived trust, structural equation
[1]. Cheng, C. (2024). Research on the customer satisfaction of sportswear based on online reviews. Journal of Dalian University, 45(02), 97–104.
[2]. Cui, J. (2024). Brand value and influence of China-chic clothing brand under low price marketing strategy: Status quo and challenges. Shandong Textile Economy, 41(07), 13–16.
[3]. Du, S., & Zheng, W. (2023). Fuzzy comprehensive evaluation of live streaming marketing effectiveness of e-commerce enterprises under the leading mode of professional anchors. Technology and Market, 30(04), 188–190.
[4]. Ma, D., & Wang, J. (2024). Retail performance analysis of sports clothing brands. Textile Technology Progress, 46(06), 50–54+62.
[5]. Mi, L., & Li, T. (2022). Research on live e-commerce strategy. China Textile, (Z5), 132–134.
[6]. Qin, S., & Zhu, T. (2023). Research on the relationship between celebrity live streaming host characteristics and consumers' purchase intentions: Mediated by social presence. Journal of Commercial Economics, (10), 81–84.
[7]. Wang, H., Tian, B., & Qu, H. (2024). Research on the impact of marketing strategies of domestic sports clothing brands on purchase intention. Journal of Zhejiang Textile and Apparel Vocational and Technical College, 23(02), 71–79.
[8]. Wang, S. (2023). Research on the impact of virtual anchors on consumer purchase intention in e-commerce live streaming [Doctoral dissertation, Fujian Normal University].
[9]. Wang, T. (2024). Research on consumer personal information protection under MCN mode of live streaming sales. China Price Regulation and Antitrust, (09), 62–64.
[10]. Wang, X. (2024). Research on the impact of impulsive purchase intention of consumers in e-commerce live streaming: Based on the mediating role of perceived risk and the moderating role of consumer trust. Business Observation, 10(17), 112–116.
[11]. Yang, J., & Li, R. (2024). Research on the youthfulness strategy of clothing sports brands from the perspective of consumer culture. Liaoning Silk, (01), 68–69+22.
Cite this article
Lai,C.;Chen,C. (2024). Research on the Impact of the "Live Streaming+Short Video" Sales Model on the Purchasing Behavior of Sportswear. Journal of Applied Economics and Policy Studies,12,6-12.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Journal:Journal of Applied Economics and Policy Studies
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).