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Understanding consumers’ continuance intention to watch streams: A value-based continuance intention model
INTRODUCTION: Live stream-watching has become increasingly popular worldwide. Consumers are found to watch streams in a continuous manner. Despite its popularity, there has been limited research investigating why consumers continue to watch streams. Previously, the expectation-confirmation theory (E...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014731/ https://www.ncbi.nlm.nih.gov/pubmed/36935948 http://dx.doi.org/10.3389/fpsyg.2023.1073301 |
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author | Jia, Xiaoyun Pang, Yan Huang, Bingqi Hou, Feng |
author_facet | Jia, Xiaoyun Pang, Yan Huang, Bingqi Hou, Feng |
author_sort | Jia, Xiaoyun |
collection | PubMed |
description | INTRODUCTION: Live stream-watching has become increasingly popular worldwide. Consumers are found to watch streams in a continuous manner. Despite its popularity, there has been limited research investigating why consumers continue to watch streams. Previously, the expectation-confirmation theory (ECT) has been widely adopted to explain users’ continuance intention. However, most current ECT-based models are theoretically incomplete, since they only consider the importance of perceived benefits without considering users’ costs and sacrifices. In this paper, we propose a value-based continuance intention model (called V-ECM), and use it to investigate factors influencing consumers’ continuance intention to watch streams. METHODS: Our hypotheses were tested using an online survey of 1,220 consumers with continuance stream-watching experiences. RESULTS: Results indicate that perceived value, a process of an overall assessment between users’ perceived benefits and perceived sacrifices, is proved to be a better variable than perceived benefits in determining consumers’ continuance watching intention. Also, compared with other ECT-based models, V-ECM is a more comprehensive model to explain and predict consumers’ continuance intention. DISCUSSION: V-ECM theoretically extends ECT-based studies, and it has potential to explain and predict other continuance intentions in online or technology-related contexts. In addition, this paper also discusses practical implications for live streaming platforms with regards to their design, functions and marketing. |
format | Online Article Text |
id | pubmed-10014731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100147312023-03-16 Understanding consumers’ continuance intention to watch streams: A value-based continuance intention model Jia, Xiaoyun Pang, Yan Huang, Bingqi Hou, Feng Front Psychol Psychology INTRODUCTION: Live stream-watching has become increasingly popular worldwide. Consumers are found to watch streams in a continuous manner. Despite its popularity, there has been limited research investigating why consumers continue to watch streams. Previously, the expectation-confirmation theory (ECT) has been widely adopted to explain users’ continuance intention. However, most current ECT-based models are theoretically incomplete, since they only consider the importance of perceived benefits without considering users’ costs and sacrifices. In this paper, we propose a value-based continuance intention model (called V-ECM), and use it to investigate factors influencing consumers’ continuance intention to watch streams. METHODS: Our hypotheses were tested using an online survey of 1,220 consumers with continuance stream-watching experiences. RESULTS: Results indicate that perceived value, a process of an overall assessment between users’ perceived benefits and perceived sacrifices, is proved to be a better variable than perceived benefits in determining consumers’ continuance watching intention. Also, compared with other ECT-based models, V-ECM is a more comprehensive model to explain and predict consumers’ continuance intention. DISCUSSION: V-ECM theoretically extends ECT-based studies, and it has potential to explain and predict other continuance intentions in online or technology-related contexts. In addition, this paper also discusses practical implications for live streaming platforms with regards to their design, functions and marketing. Frontiers Media S.A. 2023-03-01 /pmc/articles/PMC10014731/ /pubmed/36935948 http://dx.doi.org/10.3389/fpsyg.2023.1073301 Text en Copyright © 2023 Jia, Pang, Huang and Hou. 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 Jia, Xiaoyun Pang, Yan Huang, Bingqi Hou, Feng Understanding consumers’ continuance intention to watch streams: A value-based continuance intention model |
title | Understanding consumers’ continuance intention to watch streams: A value-based continuance intention model |
title_full | Understanding consumers’ continuance intention to watch streams: A value-based continuance intention model |
title_fullStr | Understanding consumers’ continuance intention to watch streams: A value-based continuance intention model |
title_full_unstemmed | Understanding consumers’ continuance intention to watch streams: A value-based continuance intention model |
title_short | Understanding consumers’ continuance intention to watch streams: A value-based continuance intention model |
title_sort | understanding consumers’ continuance intention to watch streams: a value-based continuance intention model |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014731/ https://www.ncbi.nlm.nih.gov/pubmed/36935948 http://dx.doi.org/10.3389/fpsyg.2023.1073301 |
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