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Maketingu Janaru
Article . 2024
Data sources: DOAJ
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Electronic Word-of-Mouth (e-WOM) Generation in the Book-to-Movie Adaptation:

Authors: Mai Kikumori; Ryuta Ishii;

Electronic Word-of-Mouth (e-WOM) Generation in the Book-to-Movie Adaptation:

Abstract

One of the common strategies in the content business is the book-to-movie adaptation, where the textual content in the book medium is derived as visual and sound content in the film medium. While books include a variety of genres, the novel is most widely used as the basis for a movie. A unique feature of the novel-based movie is the presence of two types of movie consumers: “original novel fans,” who read the original novel and watch the movie because they like it, and “no-novel readers,” who watch the movie without having read the original novel. Given this unique consumer feature and the fact that electronic word-of-mouth (e-WOM) is the key factor in film success, it is essential to address the following questions: “Are original novel fans and non-novel readers are more active in e-WOM generation?” and “What is their mechanism of e-WOM generation?”. We aim to address these research questions through two studies. In Study 1, we examine which of the two types of movie consumers generate e-WOM and show that original novel fans are more likely to generate e-WOM. In Study 2, we focus on original novel fans, which are key consumers of e-WOM generation, and examine their e-WOM generation mechanisms; the results show that original novel fans generate e-WOM through social needs. Our study contributes to a better understanding of consumer behaviors regarding e-WOM generation. Moreover, we provide useful insights for business managers involved in the novel-to-movie adaptation.

Keywords

self-enhancement, self-affirmation, social comparison, helping others, Marketing. Distribution of products, HF5410-5417.5, online review

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold