Evidence map›Paper›PMID 42745733›Full record

ArticleFrontiers in psychology2026

The double-edged mechanism of organizational AI adoption on employee creativity.

Rui Mao, Leilei Zhou

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

2 authors.

Rui MaoSchool of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.
Leilei ZhouSchool of Management, Guizhou University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As artificial intelligence (AI) becomes increasingly integrated into organizational management, understanding its association with employee creativity has become an important research issue. Methods: Drawing on self-determination theory, this study examines the two psychological pathways linking organizational AI adoption to employee creativity and investigates the moderating role of empowering leadership. A two-wave survey was conducted among 400 employees from Chinese organizations. Hierarchical regression analyses and bootstrapping procedures using the PROCESS macro were employed to test the proposed moderated mediation model. Results: Organizational AI adoption is negatively associated with employee creativity through AI replacement anxiety, while it is positively associated with employee creativity through AI self-efficacy. These two significant indirect effects operated in opposite directions and were similar in magnitude, thereby largely offsetting each other and indicating a countervailing mediation pattern. Furthermore, empowering leadership weakened the relationship between organizational AI adoption and AI replacement anxiety while strengthening its relationship with AI self-efficacy. Discussion: This study extends the literature on the consequences of organizational AI adoption by identifying its countervailing associations with employee creativity from the perspective of self-determination theory. The findings also highlight the critical role of empowering leadership in weakening the negative pathway and strengthening the positive pathway associated with AI adoption, offering practical implications for organizations seeking to foster employee creativity in the AI era.

Indexed as

AI replacement anxietyAI self-efficacycreativityempowering leadershiporganizational AI adoption

Identifiers

PMID42745733
PMCPMC13574569

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.