Modeling the Effects of Streamer Characteristics and Platform Affordances in Livestreaming E-Commerce: A Mixed-Methods Approach

Xuan Zhou, Chen Lou
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Abstract

AbstractWhile livestreaming e-commerce is drawing increasing attention from advertisers, insights into the effects of streamer characteristics and platform affordances are discrete. This research adopts a sequential mixed-methods design that combines in-depth one-on-one interviews and a cross-sectional survey to (1) qualitatively map out crucial streamer characteristics and platform affordances from the perspectives of consumers and (2) delineate the underlying mechanisms through which these factors enable online purchases. In Study 1, guided by the frameworks of source credibility, personality, and the MAIN (modality, agency, interactivity, and navigability) model of affordances, we extracted five streamer characteristics (expertise, trustworthiness, attractiveness, sincerity, and excitement) and four affordances of livestreaming e-commerce platforms (synchronicity, network association, metavoicing, and searchability) that facilitate online purchases. In Study 2, drawing on dual processing theory, we exemplified two information-processing routes (i.e., experiential route and rational route) and identified perceived pleasure and product trust as parallel mechanisms predicting purchases. Results revealed that a steamer’s attractiveness, sincerity, and excitement, as well as a platform’s searchability affordance, significantly facilitate purchase intentions via perceived pleasure. Meanwhile, a streamer’s expertise, trustworthiness, and sincerity, as well as a platform’s network association and metavoicing affordance, significantly shape purchase intentions via product trust.Keywords: Affordanceslivestreaming e-commercepersonalitysource credibility AcknowledgmentsThe authors would like to thank Liu Zifei and Yu Yifan for their assistance.Disclosure statementThe funder did not play any role in the entire research process. The authors have no conflict of interests to disclose.Additional informationFundingThis study was supported by a Tier 1 grant from the Ministry of Education, Singapore (M4012201.060).
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直播电子商务中流媒体特征和平台可视性的建模影响:混合方法方法
摘要虽然直播电子商务吸引了越来越多的广告商的关注,但对流媒体特征和平台能力的影响的见解是离散的。本研究采用顺序混合方法设计,将深入的一对一访谈和横断面调查相结合,以(1)从消费者的角度定性地绘制出关键的流媒体特征和平台功能;(2)描绘出这些因素促成在线购买的潜在机制。在研究1中,我们以来源可信度、个性和主要(模态、代理、互动性和可导航性)模型的框架为指导,提取了直播电子商务平台的五个特征(专业度、可信度、吸引力、诚意和兴奋度)和四个特征(同步性、网络关联、元语音和可搜索性),以促进在线购买。在研究2中,我们借鉴双加工理论,举例说明了两种信息加工路线(即经验路线和理性路线),并确定了感知愉悦和产品信任是预测购买的平行机制。结果显示,轮船的吸引力、诚意和兴奋,以及平台的可搜索性,显著促进了通过感知愉悦的购买意愿。同时,主播的专业性、可信度和诚意,以及平台的网络关联和元发声能力,通过产品信任显著影响购买意愿。关键词:资源支持;直播;电子商务;披露声明资助者在整个研究过程中未发挥任何作用。作者没有需要披露的利益冲突。本研究由新加坡教育部一级资助(M4012201.060)支持。
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来源期刊
CiteScore
5.80
自引率
32.40%
发文量
17
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