Evidence map›Paper›PMID 42651626›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Employee-AI Collaboration and Career Sustainability: The Role of Job Crafting and AI Job Role Clarity.

Huiling Jiang, Yuanyuan Zhang, Shumin Yan

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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.

Huiling JiangSchool of Economics and Management, Tongji University, Shanghai 200092, China.ORCID 0000-0003-4093-6885
Yuanyuan ZhangSchool of Economics and Management, Tongji University, Shanghai 200092, China.
Shumin YanSchool of Economics and Management, Tongji University, Shanghai 200092, China.ORCID 0000-0003-1983-7612

Funding

National Natural Science Foundation of China 72595874
6 · The paper itself

Abstract

Artificial intelligence (AI) is reshaping the global labor market and creating both challenges and opportunities for employees. This study conceptualizes AI as a collaborative partner in the workplace and examines how employee-AI collaboration relates to career sustainability. Drawing on conservation of resources theory and self-determination theory, the study proposes that job crafting mediates this relationship and that AI job role clarity strengthens the positive effect of employee-AI collaboration on job crafting. Three-wave survey data were collected from 398 employees who were required to use AI as part of regular work. The results showed that employee-AI collaboration was significantly associated with career sustainability, that job crafting mediated the relationship between employee-AI collaboration and career sustainability, and that AI job role clarity positively moderated the effect of employee-AI collaboration on job crafting. These findings extend research on AI adoption and job crafting by showing that employee-AI collaboration constitutes an interdependent work arrangement whose long-term career value depends on employees' proactive work redesign and clear human-AI role boundaries. The findings further suggest that organizations can support employees' proactive adaptation and career development by clarifying human-AI role boundaries, providing opportunities for skill development, and creating conditions that enable employees to redesign their work effectively.

Indexed as

AI job role claritycareer sustainabilityemployee–AI collaborationjob crafting

Identifiers

PMID42651626
PMCPMC13510139

What OpenQuestion holds

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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.