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How tie strength influences purchasing intention in social recommendation: evidence from behavioral model and brain activity

采购 心理学 推论 社会商业 情感(语言学) 相似性(几何) 推荐系统 社会化媒体 大脑活动与冥想 人际关系 产品(数学) 社会影响力 社会心理学 认知心理学 业务 营销 脑电图 计算机科学 人工智能 沟通 几何学 数学 机器学习 精神科 万维网 图像(数学)
作者
Jia Jin,一雅 志賀,Chenchen Lin,Liuting Diao
出处
期刊:Internet Research [Emerald (MCB UP)]
卷期号:34 (6): 2123-2150 被引量:6
标识
DOI:10.1108/intr-06-2023-0506
摘要

Purpose Social recommendation has been recognized as a kind of e-commerce with large potential, but how social recommendations influence consumer decisions is still unclear. This paper aims to investigate how recommendations from different social ties influence consumers’ purchase intentions through both behavior and brain activity. Design/methodology/approach Utilizing behavioral ( N = 70) and electroencephalogram (EEG) ( N = 49) experiments, this study explored participants’ behavior and brain responses after being recommended by different social ties. The data were analyzed using statistical inference and event-related potential (ERP) analysis. Findings Behavioral results show that social tie strength positively impacts purchase intention, which can be fitted by a logarithmic model. Moreover, recommender-to-customer similarity and product affect mediate the effect of tie strength on purchase intention serially. EEG findings show that recommendations from weak tie strength elicit larger N100, N200 and P300 amplitudes than those from strong tie strength. These results imply that weak tie strength may motivate individuals to recruit more mental resources in social recommendation, including unconscious processing of consumer attention and conscious processing of cognitive conflict and negative emotion. Originality/value This study considers the effects of continuous social ties on purchase intention and models them mathematically, exploring the intrinsic mechanisms by which strong and weak ties influence purchase intentions through recommender-to-customer similarity and product affect, contributing to the applications of the stimulus-organism-response (SOR) model in the field of social recommendation. Furthermore, our study adopting EEG techniques bridges the gap of relying solely on self-report by providing an avenue to obtain relatively objective findings about the consumers’ early-occurred (unconscious) attentional responses and late-occurred (conscious) cognitive and emotional responses in purchase decisions.
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