Weight Analysis of the Factors Affecting eWOM Providing Behavior

Electronic word of mouth (eWOM) significantly affects the consumer decision-making process. A number of studies investigated why consumers provide eWOM communications. Existing literature has contradicting factors regarding factors affect eWOM providing behaviour. This study aims to evaluate factors...

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Detalles Bibliográficos
Autores principales: Ismagilova, Elvira, Dwivedi, Yogesh K., Rana, Nripendra P., Sivarajah, Uthayasankar, Weerakkody, Vishanth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134272/
http://dx.doi.org/10.1007/978-3-030-44999-5_22
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author Ismagilova, Elvira
Dwivedi, Yogesh K.
Rana, Nripendra P.
Sivarajah, Uthayasankar
Weerakkody, Vishanth
author_facet Ismagilova, Elvira
Dwivedi, Yogesh K.
Rana, Nripendra P.
Sivarajah, Uthayasankar
Weerakkody, Vishanth
author_sort Ismagilova, Elvira
collection PubMed
description Electronic word of mouth (eWOM) significantly affects the consumer decision-making process. A number of studies investigated why consumers provide eWOM communications. Existing literature has contradicting factors regarding factors affect eWOM providing behaviour. This study aims to evaluate factors affecting eWOM providing behaviour by performing a systematic review and weight analysis of existing research outputs. Based on the result of weight analysis it was found that the best predictors of eWOM providing behaviour are involvement, self-enhancement, and trust in web eWOM services. Scholars can use the results of this study when making decisions regarding the inclusion of factors in their research. Practitioners can pay more attention to the best predictors.
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spelling pubmed-71342722020-04-06 Weight Analysis of the Factors Affecting eWOM Providing Behavior Ismagilova, Elvira Dwivedi, Yogesh K. Rana, Nripendra P. Sivarajah, Uthayasankar Weerakkody, Vishanth Responsible Design, Implementation and Use of Information and Communication Technology Article Electronic word of mouth (eWOM) significantly affects the consumer decision-making process. A number of studies investigated why consumers provide eWOM communications. Existing literature has contradicting factors regarding factors affect eWOM providing behaviour. This study aims to evaluate factors affecting eWOM providing behaviour by performing a systematic review and weight analysis of existing research outputs. Based on the result of weight analysis it was found that the best predictors of eWOM providing behaviour are involvement, self-enhancement, and trust in web eWOM services. Scholars can use the results of this study when making decisions regarding the inclusion of factors in their research. Practitioners can pay more attention to the best predictors. 2020-03-06 /pmc/articles/PMC7134272/ http://dx.doi.org/10.1007/978-3-030-44999-5_22 Text en © IFIP International Federation for Information Processing 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Ismagilova, Elvira
Dwivedi, Yogesh K.
Rana, Nripendra P.
Sivarajah, Uthayasankar
Weerakkody, Vishanth
Weight Analysis of the Factors Affecting eWOM Providing Behavior
title Weight Analysis of the Factors Affecting eWOM Providing Behavior
title_full Weight Analysis of the Factors Affecting eWOM Providing Behavior
title_fullStr Weight Analysis of the Factors Affecting eWOM Providing Behavior
title_full_unstemmed Weight Analysis of the Factors Affecting eWOM Providing Behavior
title_short Weight Analysis of the Factors Affecting eWOM Providing Behavior
title_sort weight analysis of the factors affecting ewom providing behavior
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134272/
http://dx.doi.org/10.1007/978-3-030-44999-5_22
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AT sivarajahuthayasankar weightanalysisofthefactorsaffectingewomprovidingbehavior
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