Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 519

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

Social media engagement behavior: A framework for engaging customers through social media content

Dolan, Rebecca, Conduit, Jodie, Frethey-Bentham, Catherine, Fahy, John, Goodman, Steve·2019·European Journal of Marketing

Abstract

Purpose: Organizations are investing heavily in social media yet have little understanding of the effects of social media content on user engagement. This study aims to determine the distinct effects of informational, entertaining, remunerative and relational content on the passive and active engagement behavior of social media users. Design/methodology/approach: Facebook Insights and NCapture are used to extract data from the Facebook pages of 12 wine brands over a 12-month period. A multivariate linear regression analysis investigates the effects of content on consuming, contributing and creating engagement behavior. Findings: Results reveal distinct effects of rational and emotional appeals on social media engagement behavior. Rational appeals in social media have a superior effect in terms of facilitating active and passive engagement among social media users, whereas emotional appeals facilitate passive rather than highly active engagement behavior, despite the social and interactive nature of the digital media landscape. Research limitations/implications: Results contribute directly to understanding engagement and customer experience with social media. Further theoretical and empirical examination in this area will aid in understanding the dynamic nature of the levels of engagement within social media. Practical implications: Findings provide managers and practitioners with guidelines and opportunities for strategic development of social media content to enhance engagement among consumers in a social media forum. Originality/value: This study is one of the first to empirically examine the construct of social media engagement behavior. It extends the utility of dual processing theory to demonstrate how rational and emotional message appeals result in online engagement.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1108/ejm-03-2017-0182

Cites

14 of 14 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 14 references

Cited by

See all 519

Metadata

Authors
Dolan, R., Conduit, J., Frethey-Bentham, C., Fahy, J., & Goodman, S.
Venue
European Journal of Marketing
Publisher
Emerald
Published
2019-10-07
Volume
53
Issue
10
Pages
2213-2243
ISSN
0309-0566 (ISSN-L)
OpenAlex
W2939929407
Cited by
519
References
14
FWCI
82.80
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: Social media engagement behavior: A framework for engaging customers through social media content. https://app.cochat.ai/papers/10.1108/ejm-03-2017-0182
The paper
Dolan, R., Conduit, J., Frethey-Bentham, C., Fahy, J., & Goodman, S. (2019). Social media engagement behavior: A framework for engaging customers through social media content. European Journal of Marketing. https://doi.org/10.1108/ejm-03-2017-0182

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.