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Cited by 282

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Storytelling in the digital era: A meta-analysis of relevant moderators of the narrative transportation effect

van Laer, Tom, Feiereisen, Stephanie, Visconti, Luca M.·2019·Journal of Business Research

Abstract

In the digital era, marketers increasingly use storytelling techniques to narratively transport and persuade their customers. This paper pursues three primary objectives: (1) to integrate three digitally relevant moderators of the narrative transportation effect into the marketing literature, (2) to empirically assess the integrated model with a quantitative meta-analysis of extant research, and (3) to provide directions for marketing managers to enhance the narrative transportation effect in an evolving te chnological environment. The paper contribute s to the field by means of a meta-analysis of 64 articles featuring 138 narrative transportation effect sizes . The research shows that the narrative transportation effect is stronger when the story falls in a commercial (vs. non- commercial) domain, is user ( vs. professional) generated , and is received by one story receiver at a time. The study concludes with implications for research and practice and directions for future research.

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Metadata

Authors
van Laer, T., Feiereisen, S., & Visconti, L. M.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2019-03
Volume
96
Pages
135-146
ISSN
0148-2963 (ISSN-L)
OpenAlex
W2900698116
Cited by
282
References
14
FWCI
197.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Storytelling in the digital era: A meta-analysis of relevant moderators of the narrative transportation effect. https://app.cochat.ai/papers/10.1016/j.jbusres.2018.10.053
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van Laer, T., Feiereisen, S., & Visconti, L. M. (2019). Storytelling in the digital era: A meta-analysis of relevant moderators of the narrative transportation effect. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2018.10.053

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.