TY - JOUR
T1 - Online impulsive buying in social commerce
T2 - A mixed-methods research
AU - Xu, Haiqin
AU - Gong, Xiang
AU - Yan, Ruihe
N1 - Publisher Copyright:
© 2024 Elsevier B.V.
PY - 2024/4
Y1 - 2024/4
N2 - 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.
AB - 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.
KW - Mixed-methods approach
KW - Observational learning
KW - Online impulsive buying
KW - Reinforcement learning
KW - Social commerce
KW - Social learning theory
UR - https://www.scopus.com/pages/publications/85186503321
U2 - 10.1016/j.im.2024.103943
DO - 10.1016/j.im.2024.103943
M3 - 文章
AN - SCOPUS:85186503321
SN - 0378-7206
VL - 61
JO - Information and Management
JF - Information and Management
IS - 3
M1 - 103943
ER -