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Marketing by live streaming: How to interact with consumers to increase their purchase intentions
Live streaming e-commerce, as a kind of new information technology-based business model, is currently the most popular marketing approach, especially in China. This research divides live streaming interactions into three dimensions, interactions for obtaining product information (IPI), interactions...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453494/ https://www.ncbi.nlm.nih.gov/pubmed/36092111 http://dx.doi.org/10.3389/fpsyg.2022.933633 |
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author | Liu, Feng Wang, Yan Dong, Xiaoxu Zhao, Huawei |
author_facet | Liu, Feng Wang, Yan Dong, Xiaoxu Zhao, Huawei |
author_sort | Liu, Feng |
collection | PubMed |
description | Live streaming e-commerce, as a kind of new information technology-based business model, is currently the most popular marketing approach, especially in China. This research divides live streaming interactions into three dimensions, interactions for obtaining product information (IPI), interactions for grasping the purchase dynamics of others (IPD), and interactions for obtaining monetary incentives (IMI), and proposes a comprehensive framework to examine whether live streaming interactions with consumers promote both social presence and consumer conformity, and thereby enhance their purchase intentions. Covariance-based structural equation modeling (CB-SEM) with AMOS was conducted to analyze data collected from 576 Chinese consumers. The main findings are that, first, both IPI and IPD can exert a direct impact on social presence and consumer conformity; second, IMI has a positive impact only on social presence; third, among the three dimensions of interactions, both IPI and IPD tend to increase purchase intention through social presence and consumer conformity, while IMI increases purchase intention only via social presence. Furthermore, given the differences between experience and search products, the results of the multigroup analysis indicate inconsistent path coefficients between the two product groups. This study provides a novel perspective on live streaming e-commerce with evidence on how interactions matter in driving purchase intentions, enriches the content of live streaming e-commerce literature and explores the practical implications for marketing managers are looking for marketing by live streaming. |
format | Online Article Text |
id | pubmed-9453494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94534942022-09-09 Marketing by live streaming: How to interact with consumers to increase their purchase intentions Liu, Feng Wang, Yan Dong, Xiaoxu Zhao, Huawei Front Psychol Psychology Live streaming e-commerce, as a kind of new information technology-based business model, is currently the most popular marketing approach, especially in China. This research divides live streaming interactions into three dimensions, interactions for obtaining product information (IPI), interactions for grasping the purchase dynamics of others (IPD), and interactions for obtaining monetary incentives (IMI), and proposes a comprehensive framework to examine whether live streaming interactions with consumers promote both social presence and consumer conformity, and thereby enhance their purchase intentions. Covariance-based structural equation modeling (CB-SEM) with AMOS was conducted to analyze data collected from 576 Chinese consumers. The main findings are that, first, both IPI and IPD can exert a direct impact on social presence and consumer conformity; second, IMI has a positive impact only on social presence; third, among the three dimensions of interactions, both IPI and IPD tend to increase purchase intention through social presence and consumer conformity, while IMI increases purchase intention only via social presence. Furthermore, given the differences between experience and search products, the results of the multigroup analysis indicate inconsistent path coefficients between the two product groups. This study provides a novel perspective on live streaming e-commerce with evidence on how interactions matter in driving purchase intentions, enriches the content of live streaming e-commerce literature and explores the practical implications for marketing managers are looking for marketing by live streaming. Frontiers Media S.A. 2022-08-25 /pmc/articles/PMC9453494/ /pubmed/36092111 http://dx.doi.org/10.3389/fpsyg.2022.933633 Text en Copyright © 2022 Liu, Wang, Dong and Zhao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Liu, Feng Wang, Yan Dong, Xiaoxu Zhao, Huawei Marketing by live streaming: How to interact with consumers to increase their purchase intentions |
title | Marketing by live streaming: How to interact with consumers to increase their purchase intentions |
title_full | Marketing by live streaming: How to interact with consumers to increase their purchase intentions |
title_fullStr | Marketing by live streaming: How to interact with consumers to increase their purchase intentions |
title_full_unstemmed | Marketing by live streaming: How to interact with consumers to increase their purchase intentions |
title_short | Marketing by live streaming: How to interact with consumers to increase their purchase intentions |
title_sort | marketing by live streaming: how to interact with consumers to increase their purchase intentions |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453494/ https://www.ncbi.nlm.nih.gov/pubmed/36092111 http://dx.doi.org/10.3389/fpsyg.2022.933633 |
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