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
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
A new scale of social desirability independent of psychopathology.
Crowne, D. P., & Marlowe, D. (1960) · Journal of Consulting Psychology · doi:10.1037/h0047358 · Cited by 8,686
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
The role of transportation in the persuasiveness of public narratives.
Green, M. C., & Brock, T. C. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.79.5.701 · Cited by 4,861
Assessing heterogeneity in meta-analysis: Q statistic or I² index?
Huedo-Medina, T. B., Sánchez-Meca, J., Marín-Martínez, F., & Botella, J. (2006) · Psychological Methods · doi:10.1037/1082-989x.11.2.193 · Cited by 4,256
Tellegen, A., & Atkinson, G. (1974) · Journal of Abnormal Psychology · doi:10.1037/h0036681 · Cited by 2,196
Measuring Narrative Engagement
Busselle, R., & Bilandzic, H. (2009) · Media Psychology · doi:10.1080/15213260903287259 · Cited by 1,088
Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2014.09.005 · Cited by 868
Impact of narratives on persuasion in health communication: a meta-analysis
Shen, F., Sheer, V. C., & Li, R. (2015) · Journal of Advertising · doi:10.1080/00913367.2015.1018467 · Cited by 574
Luedicke, M. K., Thompson, C. J., & Giesler, M. (2010) · Journal of Consumer Research · doi:10.1086/644761 · Cited by 361
Cited by
Future Directions in Single-Session Youth Mental Health Interventions
Schleider, J. L., Dobias, M. L., Sung, J. Y., & Mullarkey, M. C. (2020) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2019.1683852 · Cited by 335
Effective influencer marketing: A social identity perspective
Farivar, S., & Wang, F. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.103026 · Cited by 251
Chatbot ads with a human touch: A test of anthropomorphism, interactivity, and narrativity
Sun, Y., Chen, J., & Sundar, S. S. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114403 · Cited by 115
The dynamic effects of visual complexity and scene cuts on viewer attention
Wals, S., Grewal, D., Wilms, I., Hilken, T., Briassouli, A., & Wetzels, M. (2026) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-025-01137-x · Cited by 2
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
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.