Evidence map›Paper›PMID 41929886›Full record

ArticleFrontiers in public health2026

Autonomous enhancement or emotional depletion? The dual-path mechanism of AI usage on employees' work behavior.

Daokui Jiang, Yaru Liu, Xuan Gu

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. 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.

Daokui JiangBusiness School, Shandong Normal University, Jinan, China.
Yaru LiuBusiness School, Shandong Normal University, Jinan, China.
Xuan GuBusiness School, Shandong Normal University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a core driver of social progress, artificial intelligence (AI) has a far-reaching impact on employee behavior in the workplace. A dual-path model based on the SOR theory reveals the dual effects of AI usage. A four-stage longitudinal study analyzed data from 285 finance professionals, showing that AI usage can both boost innovative work behavior by enhancing sense of self-determination and predict work disengagement behavior via the emotional exhaustion elicited by AI-associated technostressors. Leaders' AI symbolization plays a key moderating role, strengthening AI's positive effect on sense of self-determination and lessening its negative impact on emotional exhaustion. This research offers theoretical and practical guidance for organizations to improve employee management strategies.

Indexed as

Artificial IntelligencePersonal AutonomyWorkplaceEmotional ExhaustionHumansLongitudinal StudiesAI usageemotional exhaustioninnovative work behaviorsense of self-determinationwork disengagement behavior

Identifiers

PMID41929886
PMCPMC13038891

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.