Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 406

The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

The impact of organizational justice on employee innovative work behavior: Mediating role of knowledge sharing

Open access
Akram, Tayyaba, Lei, Shen, Haider, Muhammad Jamal, Hussain, Syed Talib·2020·Journal of Innovation & Knowledge

Abstract

This study attempts to find out the impact of organizational justice on the innovative work behavior of employees working in Chinese telecommunication sector, while analyzing the mediating role of knowledge sharing between the independent and dependent variables of this study. In order to test the study hypotheses, a data of 345 respondents working in Chinese telecommunication industry was collected. Confirmatory factor analysis suggested a good model fit, while structural equation model provided significant and positive effect of organizational justice on the employee innovative work behavior and knowledge sharing. Knowledge sharing mediated the relationship between organizational justice and employee innovative work behavior. Managerial and practical implications of the study are also provided.

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.jik.2019.10.001

Cites

74 of 74 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 74 references

Metadata

Authors
Akram, T., Lei, S., Haider, M. J., & Hussain, S. T.
Venue
Journal of Innovation & Knowledge
Publisher
Elsevier BV
Published
2020-04
Volume
5
Issue
2
Pages
117-129
ISSN
2444-569X (ISSN-L)
OpenAlex
W2986611265
Cited by
406
References
74
FWCI
46.11
Type
journal article
Language
en
Open access
gold

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: The impact of organizational justice on employee innovative work behavior: Mediating role of knowledge sharing. https://app.cochat.ai/papers/10.1016/j.jik.2019.10.001
The paper
Akram, T., Lei, S., Haider, M. J., & Hussain, S. T. (2020). The impact of organizational justice on employee innovative work behavior: Mediating role of knowledge sharing. Journal of Innovation & Knowledge. https://doi.org/10.1016/j.jik.2019.10.001

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.