Evidence map›Paper›PMID 37362897›Full record

ArticleArtificial intelligence review2023

Impact of employee digital competence on the relationship between digital autonomy and innovative work behavior: a systematic review.

Pham Thanh Huu

Open access · bronzeAbstract read
In one paragraph

Article in Artificial intelligence review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
23.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 70 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Pham Thanh HuuADAI LAB, 2nd Floor, Mitech Center, No. 75 Road 2/4, Nha Trang City, Vietnam.ORCID 0000-0003-1508-2355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of the COVID-19 pandemic, the level of concern regarding employee digital competence has increased significantly. Several studies provide different surveys, but they cannot describe the relationship between digital autonomy and innovative work behaviour concerning the impact of employee digital competence. Hence, it is necessary to conduct a survey that provides a deeper understanding of these concerns and suggests a suitable study for other researchers. Using scientific publication databases and adhering to the PRISMA statement, this systematic literature review aims to offer a current overview of employee digital competence impact on the relationship between digital autonomy and innovative work behaviour from 2015 to 2022, covering definitions, research purposes, methodologies, outcomes, and limitations. When reviewing the selected articles, 18 articles were examined under relationship topics, and 12 articles reported on impact topics under different tasks. The main findings highlight the significance of digital competence and autonomy in promoting employee creativity, learning, and sharing knowledge. According to the review findings, employees with greater digital autonomy are more likely to engage in innovative work, leading to improved job performance and empowerment. Therefore, the development of digital autonomy prioritizes organizations by providing access to digital tools, training, and a supportive work environment. Overall, the current review indicates a strong positive correlation between digital autonomy, innovative work behaviour, and employee impact. This underscores the importance for organizations to not only participate in digital competence and skills, but also to create a culture that values autonomy, creativity, and innovation among its employees.

Indexed as

Digital Autonomy (DA)Digital Competence (DC)EmployeeInformation and Communication Technology (ICT)Innovative Work Behavior (IWB)Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)Systematic Literature Review (SLR)

Identifiers

PMID37362897
PMCPMC10148002
OpenAlexW4367368475

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.