About: Weight Analysis of the Factors Affecting eWOM Providing Behavior

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Weight Analysis of the Factors Affecting eWOM Providing Behavior
Creator	Dwivedi, Yogesh Ismagilova, Elvira Rana, Nripendra Sivarajah, Uthayasankar Weerakkody, Vishanth
Source	PMC
abstract	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.
has issue date	2020-03-06(xsd:dateTime)
bibo:doi	10.1007/978-3-030-44999-5_22
has license	no-cc
sha1sum (hex)	188f5ccfe99b7301391670d6e10b56eac1c51726
schema:url	https://doi.org/10.1007/978-3-030-44999-5_22
resource representing a document's title	Weight Analysis of the Factors Affecting eWOM Providing Behavior
has PubMed Central identifier	PMC7134272
schema:publication	Responsible Design, Implementation and Use of Information and Communication Technology
resource representing a document's body	covid:188f5ccfe99b7301391670d6e10b56eac1c51726#body_text
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