Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 363

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Having fun while receiving rewards?: Exploration of gamification in loyalty programs for consumer loyalty

Hwang, Jiyoung, Choi, Laee·2020·Journal of Business Research

Abstract

Abstract This study investigates whether and how gamification in loyalty programs (i.e., gamified loyalty programs) impacts consumer loyalty toward loyalty programs and behavioral intentions, along with the role of the type of rewards (self-oriented vs. altruistic rewards). The data were collected from U.S. consumers responding to LPs offered in the mobile environment. The results confirmed that gamified loyalty programs (vs. conventional ones) increased consumer loyalty toward loyalty programs which in turn enhanced consumers' participation intention and app download intention. Playfulness and attitude toward the program served as mediating mechanisms underlying the impact of gamification. The indirect relationships were stronger under conditions of self-oriented rewards. Also, reward types moderated the indirect pathway of playfulness, but not attitude. These findings support the essential role of gamification in customer relationship management, an understanding which offers important practical implications for how firms might implement gamified loyalty programs to promote consumer responses.

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 · 10.1016/j.jbusres.2019.01.031

Cites

77 of 77 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 77 references

Cited by

See all 363

Metadata

Authors
Hwang, J., & Choi, L.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2020-01
Volume
106
Pages
365-376
ISSN
0148-2963 (ISSN-L)
OpenAlex
W2912175146
Cited by
363
References
77
FWCI
56.61
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: Having fun while receiving rewards?: Exploration of gamification in loyalty programs for consumer loyalty. https://app.cochat.ai/papers/10.1016/j.jbusres.2019.01.031
The paper
Hwang, J., & Choi, L. (2020). Having fun while receiving rewards?: Exploration of gamification in loyalty programs for consumer loyalty. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2019.01.031

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.