What makes viewers loyal toward streamers? A relationship building perspective and the gender difference
透视图(图形)
广告
心理学
社会心理学
业务
计算机科学
人工智能
作者
LI Ying-xia,Norazlyn Kamal Basha,Siew Imm Ng,Qiaoling Lin
出处
期刊:Asia Pacific Journal of Marketing and Logistics [Emerald (MCB UP)] 日期:2024-04-22卷期号:36 (10): 2324-2353被引量:5
标识
DOI:10.1108/apjml-10-2023-1015
摘要
Purpose Cultivating loyal customers is a pressing concern for streamers. The present study investigates how to build interpersonal relationships with streamers and whether different interpersonal relationship factors lead to repurchase intention and WOM intention in live streaming commerce. The moderating effect of gender is also examined. Design/methodology/approach A self-administered questionnaire was completed by 429 live streaming commerce users in mainland China. Partial least squares structural equation modeling was used to test the research hypotheses. Findings The results indicate that all four streamer attributes (expertise, authenticity, attractiveness, and homophily) have a positive influence on swift guanxi, and swift guanxi is effective in predicting both calculative commitment and affective commitment. In addition, all interpersonal relationship factors (swift guanxi, calculative commitment, and affective commitment) significantly affect repurchase intentions, with only affective commitment being linked to WOM intention. Also, the moderating role of gender was confirmed in expertise – swift guanxi, attractiveness – swift guanxi, cognitive commitment – repurchase intention and affective commitment – repurchase intention linkages. Originality/value This paper contributes to the live streaming commerce literature by integrating swift guanxi, calculative commitment, and affective commitment to understand the repurchase intention and WOM intention from the relationship-building process perspective. In addition, this paper enriches the source credibility and source attractiveness models by identifying gender boundaries on the effectiveness of these models in predicting swift guanxi.