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Record W4390108712 · doi:10.5755/j01.ee.34.5.31558

Occupational Burnout among Employees in Serbian Banking Sector: Evidence during Covid-19 Pandemic

2023· article· en· W4390108712 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEngineering Economics · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCOVID-19 Pandemic Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsBurnoutEmotional exhaustionDepersonalizationSerbianAutonomyBusinessWorkloadPandemicQuarter (Canadian coin)Demographic economicsCompetition (biology)Job satisfactionPersonal protective equipmentPsychologyCoronavirus disease 2019 (COVID-19)MarketingSocial psychologyManagementEconomicsPolitical scienceMedicineClinical psychology

Abstract

fetched live from OpenAlex

This paper examines occupational burnout among employees in the banking sector in Serbia, with an emphasis on the Covid-19 pandemic. Workload, short deadlines, role ambiguity, role conflict, lack of autonomy, job insecurity, new technologies, overly demanding clients, constant pressure for high performance, and fierce and increasing competition make the banking sector one of the most stressful. Banking institutions have undergone various changes in their strategies, organization, and structure in the past due to new technologies, processes, and working conditions caused by the Covid-19 pandemic. The research results of conducted empirical study based on the Maslach Burnout Inventory, in which 165 employees from Serbian banks participated in the first quarter of 2022, revealed a higher level of emotional exhaustion among employees who had daily direct contact with clients and those who worked from office, a higher level of depersonalization among male respondents, and a lower personal accomplishment among employees with less working experience.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.082
GPT teacher head0.279
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it