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Exploring the Novel Input Attributes Affecting eWOM
Electronic word of mouth (eWOM) has become significantly important in online communities, which are influential sources of instant information on the internet. This study examines the eWOM input attributes linked to consumers’ information adoption behavior in the context of information-related inter...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471601/ https://www.ncbi.nlm.nih.gov/pubmed/32973617 http://dx.doi.org/10.3389/fpsyg.2020.02017 |
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author | Hussain, Safdar Huang, Kaishan Ilyas, Zahida Niu, Ben |
author_facet | Hussain, Safdar Huang, Kaishan Ilyas, Zahida Niu, Ben |
author_sort | Hussain, Safdar |
collection | PubMed |
description | Electronic word of mouth (eWOM) has become significantly important in online communities, which are influential sources of instant information on the internet. This study examines the eWOM input attributes linked to consumers’ information adoption behavior in the context of information-related interaction. This study uses a structural equation modeling approach by choosing participants from Fujian and Guangdong provinces of China. The results reveal that eWOM input attributes studied positively influence information-related interactions. An individual’s perception of value enhances the performance of products or services, which is an essential predictor of information adoption. Furthermore, information usefulness and related interactions are key eWOM message characteristics affecting information adoption on the internet. This study contributes to the eWOM input attributes and message characteristics literature by exploring information-related interaction as a new mediator to consumers’ online information adoption. The authors provide suggestions for marketers and firms to dynamically develop strategies in response to consumers’ concerns while making a purchase online. |
format | Online Article Text |
id | pubmed-7471601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74716012020-09-23 Exploring the Novel Input Attributes Affecting eWOM Hussain, Safdar Huang, Kaishan Ilyas, Zahida Niu, Ben Front Psychol Psychology Electronic word of mouth (eWOM) has become significantly important in online communities, which are influential sources of instant information on the internet. This study examines the eWOM input attributes linked to consumers’ information adoption behavior in the context of information-related interaction. This study uses a structural equation modeling approach by choosing participants from Fujian and Guangdong provinces of China. The results reveal that eWOM input attributes studied positively influence information-related interactions. An individual’s perception of value enhances the performance of products or services, which is an essential predictor of information adoption. Furthermore, information usefulness and related interactions are key eWOM message characteristics affecting information adoption on the internet. This study contributes to the eWOM input attributes and message characteristics literature by exploring information-related interaction as a new mediator to consumers’ online information adoption. The authors provide suggestions for marketers and firms to dynamically develop strategies in response to consumers’ concerns while making a purchase online. Frontiers Media S.A. 2020-08-21 /pmc/articles/PMC7471601/ /pubmed/32973617 http://dx.doi.org/10.3389/fpsyg.2020.02017 Text en Copyright © 2020 Hussain, Huang, Ilyas and Niu. http://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 Hussain, Safdar Huang, Kaishan Ilyas, Zahida Niu, Ben Exploring the Novel Input Attributes Affecting eWOM |
title | Exploring the Novel Input Attributes Affecting eWOM |
title_full | Exploring the Novel Input Attributes Affecting eWOM |
title_fullStr | Exploring the Novel Input Attributes Affecting eWOM |
title_full_unstemmed | Exploring the Novel Input Attributes Affecting eWOM |
title_short | Exploring the Novel Input Attributes Affecting eWOM |
title_sort | exploring the novel input attributes affecting ewom |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471601/ https://www.ncbi.nlm.nih.gov/pubmed/32973617 http://dx.doi.org/10.3389/fpsyg.2020.02017 |
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