Assessing the relationship between occupational stressors and accountants performance and burnout: a neural network approach with extreme learning machine

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Publication Details

Journal
Global Business and Economics Review
Published
2026-03-26
DOI
https://doi.org/10.1504/gber.2027.10077293
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing the relationship between occupational stressors and accountants performance and burnout: a neural network approach with extreme learning machine

Yavuz Selim Balcioglu, Gökhan Özer, Abdulah Kürsat Merter, Yavuz Arslan
Global Business and Economics Review
Organizational and Employee Performance
article

Assessing the relationship between occupational stressors and accountants performance and burnout: a neural network approach with extreme learning machine

Yavuz Selim Balcioglu, Gökhan Özer, Abdulah Kürsat Merter, Yavuz Arslan
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Global Business and Economics ReviewVol. 1(1)
Life in Land
Openalex Percentile: Top 8%
Organizational and Employee Performance
DOISourceOpenAlex
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Assessing the relationship between occupational stressors and accountants performance and burnout: a neural network approach with extreme learning machine — Yavuz Selim Balcioglu, Gökhan Özer, et al. · Global Business and Economics Review (2026) | TGRS Research Map | TGRS