2021
DOI: 10.1016/j.elerap.2021.101087
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How the live streaming commerce viewers process the persuasive message: An ELM perspective and the moderating effect of mindfulness

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Cited by 128 publications
(79 citation statements)
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References 80 publications
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“…Table 3 displays the demographic statistics of respondents in detail. Specially, regarding the gender of respondents, 32.8% are male and 67.2% are female, which is similar to Sun et al (2019) ; Gao et al (2021) , and Li Y. et al (2021) , confirming that females account for the vast majority in live streaming commerce.…”
Section: Methodsmentioning
confidence: 63%
See 1 more Smart Citation
“…Table 3 displays the demographic statistics of respondents in detail. Specially, regarding the gender of respondents, 32.8% are male and 67.2% are female, which is similar to Sun et al (2019) ; Gao et al (2021) , and Li Y. et al (2021) , confirming that females account for the vast majority in live streaming commerce.…”
Section: Methodsmentioning
confidence: 63%
“… Park and Lin (2020) use the fit theory to investigate the effects of keeping fit between source and product, content and product, as well as self and product on consumers’ internal evaluation and intention to buy. Gao et al (2021) apply the elaboration likelihood model (ELM) to explain the central and peripheral factors that influence consumer perceived persuasiveness and behavioral response. Further, Lu and Chen (2021) and Guo et al (2022) reveal the impacts of streamers’ characteristics on consumers’ psychological and behavioral responses from the uncertainty reduction perspective and source characteristic perspective, respectively.…”
Section: Literature Reviewmentioning
confidence: 99%
“…We distributed the questionnaire on the Wenjuanxing website ( https://www.wjx.cn/ ), one of the largest professional data collection websites in China, which has collected more than 13.14 billion questionnaires. Consistent with the sample methods employed by Gao et al ( 2021 ) and Guo et al ( 2021 ), we utilized Wenjuanxing.com as our sampling platform. We choose to use the sample service offered by Wenjuanxing, a professional data collection institution for research purposes.…”
Section: Methodsmentioning
confidence: 99%
“…In our model, viewers are heterogeneous regarding product valuation , and is distributed uniformly over [0, 1], which can also be found in previous studies [ 14 , 43 ]. Streamers’ attractiveness, interaction, effort, and expertise can increase viewers’ willingness to buy [ 12 , 28 , 44 ]. Thus, the utility function of viewers purchasing a product during live streaming is denoted as: where denotes the sensitivity coefficient of the streamer’s effort and represents the improvement in viewers’ utility due to streamers’ live-streaming efforts.…”
Section: Modelsmentioning
confidence: 99%