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dc.contributor.authorKaushik, K.
dc.contributor.authorMishra, R.
dc.contributor.authorRana, Nripendra P.
dc.contributor.authorDwivedi, Y.K.
dc.date.accessioned2020-09-25T18:53:05Z
dc.date.accessioned2020-10-06T12:39:15Z
dc.date.available2020-09-25T18:53:05Z
dc.date.available2020-10-06T12:39:15Z
dc.date.issued2018-11
dc.identifier.citationKaushik K, Mishra J, Rana NP et al (2018) Exploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon.in. Journal of Retailing and Consumer Services. 45: 21-32.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18088
dc.descriptionYesen_US
dc.description.abstractProminent e-commerce platforms allow users to write reviews for the available products. User reviews play an important role in creating the perception of the product and impact the sales. Online reviews can be considered as an important source of e-word of mouth (e-WOM) on e-commerce platforms. Various dimensions of e-WOM on product sales have been examined for different products. Broadly, studies have explored the effect of summary statistics of reviews on product sales using data from various e-commerce platforms. Few studies have utilized other review characteristics as length, valence, and content of the reviews. The sequence of reviews has been hardly explored in the literature. This study investigates the impact of sequence of helpful reviews along with other review characteristics as ratings (summary statistics), volume, informativeness, and valence of reviews on product sales. Hence, a holistic approach has been used to explore the role of summary statistics, volume, content and sequence of reviews on product sales with special emphasis on sequence of reviews. Relevant theories such as message persuasion, cognitive overload and belief adjustment model have also been explored during the construction of the model for review data. The proposed model has been validated using the helpful reviews available on Amazon.in website for various products.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1016/j.jretconser.2018.08.002en_US
dc.rights© 2018 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (https://creativecommons.org/licenses/by-nc-nd/4.0/)en_US
dc.subjectAmazonen_US
dc.subjectCognitive loaden_US
dc.subjectHelpful reviewsen_US
dc.subjectInformation overloaden_US
dc.subjectMessage persuasionen_US
dc.subjectSequence reviewsen_US
dc.titleExploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon.inen_US
dc.status.refereedYesen_US
dc.date.Accepted2018-08-04
dc.date.application2018-08-18
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.date.updated2020-09-25T17:53:07Z
refterms.dateFOA2020-10-06T12:39:51Z


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