Evidence map›Paper›PMID 36523265›Full record

ArticleComputational intelligence and neuroscience2022

Impact of Job Demands on Employee Learning: The Moderating Role of Human-Machine Cooperation Relationship.

Wang Sen, Zhu Xiaomei, Deng Lin

Abstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Wang SenSchool of Management, Beijing Union University, Beijing, China.ORCID https://orcid.org/0000-0002-9853-4072
Zhu XiaomeiSchool of Management, Beijing Union University, Beijing, China.ORCID https://orcid.org/0000-0003-4193-2704
Deng LinLubar School of Business, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.ORCID https://orcid.org/0000-0002-6223-1731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New artificial intelligence (AI) technologies are applied to work scenarios, which may change job demands and affect employees' learning. Based on the resource conservation theory, the impact of job demands on employee learning was evaluated in the context of AI. The study further explores the moderating effect of the human-machine cooperation relationship between them. By collecting 500 valid questionnaires, a hierarchical regression for the test was performed. Results indicate that, in the AI application scenario, a

Indexed as

Artificial IntelligenceHumansSurveys and Questionnaires

Identifiers

PMID36523265
PMCPMC9747302

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.