The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies
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“Hennig-Thurau et al. (2015), show that while garnering positive WOM has little to no effect on consumer preferences, negative WOM can have a negative effect on consumer preferences.”
From The future of social media in marketing (2020) · cites this paper as Hennig-Thurau et al. (2015)
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“Beyond traditional uses such as product promotion, sales campaigns, and engaging younger audiences (Hennig-Thurau et al. 2015; Gong et al. 2017; Hudson and Hudson 2013; MacKay et al. 2017), social media, combined with word of mouth, has emerged as a predictive tool for box office performance (Kim…”
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“…arguing that marketing-related phenomena may not necessarily translate into favorable consumer intentions and can sometimes paradoxically lower them (e.g., Chae, Bruno, and Feinberg 2019; Cho and Cheon 2004; Hennig-Thurau, Wiertz, and Feldhaus 2015; Leung et al. 2022; Van Doorn and Hoekstra 2013).”
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Background
Metadata
- Authors
- Hennig-Thurau, T., Wiertz, C., & Feldhaus, F.
- Affiliations
- City, University of London (GB)
- University of Münster (DE)
- Corresponding author
- Wiertz, Caroline
- Venue
- Journal of the Academy of Marketing Science
- Published
- 2014-06-01
- Volume
- 43
- Issue
- 3
- Pages
- 375-394
- ISSN
- 0092-0703 (ISSN-L)
- 1552-7824
- OpenAlex
- W3124914435
- Cited by
- 434
- References
- 54
- Citations by year
- 2026: 13 · 2025: 28 · 2024: 33 · 2023: 38 · 2022: 47 · 2021: 44 · 2020: 38 · 2019: 48 · 2018: 54 · 2017: 49 · 2016: 19 · 2015: 10 · 2014: 4
- FWCI
- 89.02
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of the Academy of Marketing Science (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- City Research Online (City University London) (acceptedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Social Sciences › Communication › Media and Digital Communication
- Keywords
- negativity bias, purchase decision
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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