Online impulsive buying in social commerce: A mixed-methods research

被引:0
|
作者
Xu, Haiqin
Gong, Xiang [1 ]
Yan, Ruihe
机构
[1] Anhui Univ, Sch Business, 111 Jiulong Rd, Hefei, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Social commerce; Online impulsive buying; Social learning theory; Observational learning; Reinforcement learning; Mixed -methods approach; WORD-OF-MOUTH; OBSERVATIONAL-LEARNING EVIDENCE; SELF-CONTROL; INFORMATION; BEHAVIOR; MEDIA; CREDIBILITY; PURCHASE; ADOPTION; SALES;
D O I
10.1016/j.im.2024.103943
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Building on social learning theory, we developed a model to examine how observational learning and reinforcement learning collectively determine online impulsive buying in social commerce. We empirically validated that both social learning processes can ultimately formulate impulsive buying with a mixed-methods approach, including a quantitative field survey and a qualitative semistructured interview in the same research inquiry. Our study contributes to the literature by offering a social learning perspective of online impulsive buying in social commerce. It provides practical guidance toward leveraging social learning strategies for promoting social commerce.
引用
收藏
页数:15
相关论文
共 50 条