Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 856

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Knowledge management, decision-making style and organizational performance

Open access
Abubakar, Abubakar Mohammed, Elrehail, Hamzah, Alatailat, Maher Ahmad, Elçi, Alev·2019·Journal of Innovation & Knowledge
DOI 10.1016/j.jik.2017.07.003
Open this paper in CoChat — free account

Abstract

A synthesis of existing Industry 4.0 literature depicts that knowledge management and decision making strategies are crucial factors for organizations. This article highlights the need and develops a framework for knowledge management and decision-making style by reviewing existing management literature. This research proposes a framework that supports the relationship between knowledge management enabling factors (i.e., organizational member's collaboration, T-shaped skills, learning and IT-support) and organizational performance, and the mediating effect of knowledge creation process. The article also propose that decision-making style (i.e., intuitive and/or rational) will moderate the relationship between knowledge creation process and organizational performance. A set of propositions that represent an empirically-driven research agenda, and also describe the relationships between the focal variables are presented to enhance audience's understanding within a business context.

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.2017.07.003

Cites

7 of 7 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 7 references

Cited by

Metadata

Authors
Abubakar, A. M., Elrehail, H., Alatailat, M. A., & Elçi, A.
Venue
Journal of Innovation & Knowledge
Publisher
Elsevier BV
Published
2019-04
Volume
4
Issue
2
Pages
104-114
ISSN
2444-569X (ISSN-L)
DOI
10.1016/j.jik.2017.07.003
OpenAlex
W2765820910
Cited by
856
References
7
FWCI
63.82
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

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.