Evidence map›Paper›PMID 40150146›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Assessing the Effect of Artificial Intelligence Anxiety on Turnover Intention: The Mediating Role of Quiet Quitting in Turkish Small and Medium Enterprises.

Selen Uygungil-Erdogan, Yaşar Şahin, Aşkın İnci Sökmen-Alaca, Onur Oktaysoy, Mustafa Altıntaş, Vurgun Topçuoğlu

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

6 authors.

Selen Uygungil-ErdoganKadirli Faculty of Applied Sciences, Osmaniye Korkut Ata University, 80750 Osmaniye, Türkiye.ORCID 0000-0002-7916-1709
Yaşar ŞahinBeşikdüzü Vocational School, Trabzon University, 61800 Trabzon, Türkiye.ORCID 0000-0002-5205-3054
Aşkın İnci Sökmen-AlacaFaculty of Economics and Administrative Sciences, Istanbul Arel University, 34537 Istanbul, Türkiye.ORCID 0000-0002-2021-137X
Onur OktaysoyFaculty of Economics and Administrative Sciences, Kafkas University, 36000 Kars, Türkiye.ORCID 0000-0002-8623-614X
Mustafa AltıntaşÇekerek Fuat Oktay Vocational School of Health Services, Yozgat Bozok University, 66100 Yozgat, Türkiye.ORCID 0000-0002-9846-5513
Vurgun TopçuoğluFaculty of Economics, Administrative and Social Sciences, Istanbul Nişantaşı University, 34398 Istanbul, Türkiye.ORCID 0009-0005-3727-1431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of artificial intelligence (AI) refers to technologies that imitate human-like thinking, learning and decision-making abilities. While integrating AI into the workforce offers the potential to increase efficiency in organizational activities, it can lead to negative effects such as anxiety, uncertainty, and distrust among employees which results from not being able to understand these technologies, regarding them as alternatives for themselves, and the possibility of losing their organizational position. These effects can reduce employees' commitment at work and trigger negative organizational behaviors such as quiet quitting and turnover intention. Starting from this point, the present study aims to investigate the effect of AI anxiety on turnover intention and the mediating role of quiet quitting in this relationship. The study was conducted using a cross-sectional design with 457 people working in SMEs in Kırıkkale province. AI Anxiety, Quiet Quitting, and Turnover Intention Scales were utilized during the data collection process. The obtained data were analyzed through structural equation modeling. In addition to detecting significant relationships between concepts as a result of the analysis, it was realized that AI anxiety did not have a considerable effect directly on turnover intention; however, this effect occurred indirectly through quiet quitting. Accordingly, it is predicted that integrating AI technologies into business processes will increase the concerns about job security in employees, and this anxiety triggers the turnover intention by leading to a tendency toward quiet quitting for reasons such as loss of motivation and low organizational commitment.

Indexed as

artificial intelligencemanagement of turnoverquiet quittingSMEsturnover intention

Identifiers

PMID40150146
PMCPMC11939379

What Socratic 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 Socratic graph.