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Erschienen in: Journal of the Academy of Marketing Science 3/2015

01.05.2015 | Original Empirical Research

Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies

verfasst von: Thorsten Hennig-Thurau, Caroline Wiertz, Fabian Feldhaus

Erschienen in: Journal of the Academy of Marketing Science | Ausgabe 3/2015

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Abstract

This research provides an empirical test of the “Twitter effect,” which postulates that microblogging word of mouth (MWOM) shared through Twitter and similar services affects early product adoption behaviors by immediately disseminating consumers’ post-purchase quality evaluations. This is a potentially crucial factor for the success of experiential media products and other products whose distribution strategy relies on a hyped release. Studying the four million MWOM messages sent via Twitter concerning 105 movies on their respective opening weekends, the authors find support for the Twitter effect and report evidence of a negativity bias. In a follow-up incident study of 600 Twitter users who decided not to see a movie based on negative MWOM, the authors shed additional light on the Twitter effect by investigating how consumers use MWOM information in their decision-making processes and describing MWOM’s defining characteristics. They use these insights to position MWOM in the word-of-mouth landscape, to identify future word-of-mouth research opportunities based on this conceptual positioning, and to develop managerial implications.

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Fußnoten
1
We thank an anonymous reviewer for alerting us to this interesting development.
 
2
The only neutral quality-related information that has traditionally been widely available for consumers at the release of a new product is expert reviews (such as movie reviews by professional movie critics). However, there is extensive empirical evidence that such reviews have limited informational value for consumers (Eliashberg and Shugan 1997).
 
3
Technical issues caused by the Twitter application programming interface (API) lead to the exclusion of 12 additional movies; we were unable to collect all tweets for them on the release day.
 
4
The resulting regression equation was as follows: advertising spending = 9,570.15 + 262.72 × production budget - .76 × production budget2, with R2 = .53. The coefficient was significant at p < .01.
 
5
The resulting regression equation was as follows: MWOM volume = 321.25 + 22,546.59 × pre-release buzz, with R2 = .54. The coefficient was significant at p < .01.
 
6
An analysis with the unadjusted MWOMVOL variable instead of the residuals from the auxiliary regression produced the same results. The only difference was that the VIFs for MWOMVOL and PRBUZZ were higher. We treated this result as support for the superiority of the used specification.
 
7
Of the responses, 105 were too short or general and were thus not classified. Inter-coder agreement was 90.4% for the MWOM characteristics and 98% for the ways in which Twitter is used in the decision-making process. The two coders discussed each case in which they disagreed until they reached an agreement on the classification.
 
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Metadaten
Titel
Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies
verfasst von
Thorsten Hennig-Thurau
Caroline Wiertz
Fabian Feldhaus
Publikationsdatum
01.05.2015
Verlag
Springer US
Erschienen in
Journal of the Academy of Marketing Science / Ausgabe 3/2015
Print ISSN: 0092-0703
Elektronische ISSN: 1552-7824
DOI
https://doi.org/10.1007/s11747-014-0388-3

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