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AuthorIsmagilova, Elvira
AuthorDwivedi, Yogesh K.
AuthorRana, Nripendra
Available date2023-06-13T08:39:23Z
Publication Date2021-09
Publication NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Identifierhttp://dx.doi.org/10.1007/978-3-030-85447-8_41
CitationIsmagilova, E., Dwivedi, Y. K., & Rana, N. (2021). The use of elaboration likelihood model in eWOM research: Literature review and weight-analysis. In Responsible AI and Analytics for an Ethical and Inclusive Digitized Society: 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Galway, Ireland, September 1–3, 2021, Proceedings 20 (pp. 495-505). Springer International Publishing.
ISBN978-303085446-1
ISSN0302-9743
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85115164132&origin=inward
URIhttp://hdl.handle.net/10576/44423
AbstractWith the development of Internet and e-commerce, traditional word of mouth communications have evolved into electronic word of mouth (eWOM) communications, which significantly affect consumers in their decision-making process. Previous studies investigated how consumers process information online and how it affects consumer behaviour applying the Elaboration Likelihood Model (ELM). ELM distinguishes between two routes of information processing: central and peripheral. Existing literature has a mixed of findings regarding factors affecting information process using ELM and lacking a comprehensive review providing evaluation and a consolidated view of these factors. Thus, the aim of this research is to evaluate the use of ELM in the context of eWOM research by performing a systematic review and weight analysis of existing research findings. This will help consolidating the predictive power of the independent variables on the dependent variable, by taking into consideration the number of times a relationship has been previously examined. The model developed through weight analysis would allow eWOM practitioners to decipher more influential factors.
Languageen
PublisherSpringer Science and Business Media Deutschland GmbH
SubjectELM
eWOM
eWOM persuasiveness
Literature review
Weight analysis
TitleThe Use of Elaboration Likelihood Model in eWOM Research: Literature Review and Weight-Analysis
TypeConference Paper
Pagination495-505
Volume Number12896 LNCS
dc.accessType Abstract Only


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