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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...

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Detalles Bibliográficos
Autores principales: Hussain, Safdar, Huang, Kaishan, Ilyas, Zahida, Niu, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
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.
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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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