Publication date
2020Author
Ismagilova, ElviraDwivedi, Y.K.
Rana, Nripendra P.
Sivarajah, Uthayasankar
Weerakkody, Vishanth J.P.
Keyword
Electronic word of mouth (eWOM)Weight analysis
Literature review
eWOM providing behaviour
Consumer decision-making
Peer-Reviewed
YesOpen Access status
closedAccess
Metadata
Show full item recordAbstract
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.Version
No full-text in the repositoryCitation
Ismagilova E, Dwivedi YK, Rana NP, Sivarajah U, Weerakkody VJP (2020) Weight Analysis of the Factors Affecting eWOM Providing Behavior. In: Hattingh M, Matthee M, Smuts H, Pappas I, Dwivedi Y, Mäntymäki M (eds) Responsible Design, Implementation and Use of Information and Communication Technology. I3E 2020. Lecture Notes in Computer Science, vol 12066. Springer.Link to Version of Record
https://doi.org/10.1007/978-3-030-44999-5_22Type
Book chapterae974a485f413a2113503eed53cd6c53
https://doi.org/10.1007/978-3-030-44999-5_22