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Record W3131877393 · doi:10.5539/ibr.v14n3p41

The Effect of Remote Working on Employees Wellbeing and Work-Life Integration during Pandemic in Egypt

2021· article· en· W3131877393 on OpenAlexvenueno aff
Bassant Adel Mostafa

Bibliographic record

VenueInternational Business Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionPandemicWork (physics)PsychologyIntervention (counseling)Applied psychologyEmpirical researchCoronavirus disease 2019 (COVID-19)Sample (material)Mental healthPerspective (graphical)BusinessMedicineEngineeringComputer science

Abstract

fetched live from OpenAlex

The study aims to enrich employers' understanding of how employees perceive remote working Post COVID-19's quarantine period and its effect on employees' psychological wellbeing and work-life integration in Egypt. A structured questionnaire was distributed post-COVID-19 pandemic lockdown period on a sample of 318 employees who are supposed to be working remotely in different sectors from home. Correlation and regression analyses were conducted to test the research hypotheses. The results suggest a significant positive effect of employees' perception of remote working on psychological wellbeing and work-life integration. Simultaneously, there is a significant negative effect of employees' perception of remote working and emotional exhaustion. This study should help employers design the appropriate intervention plan to sustain operations and maintain effective communication with remote workers. It contributes to the literature by considering it as one of the growing empirical studies that will tackle remote working in relation to employee psychological wellbeing and work-life integration Post-COVID-19 quarantine period in Egypt. The majority of research nowadays tackling COVID-19 is from a biomedical perspective, focusing on physical and mental health, but this research will tackle COVID-19 from a psychological and managerial standpoint. The research results will assist researchers and practitioners in gaining insights into the future role of remote working.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.064
GPT teacher head0.391
Teacher spread0.327 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations51
Published2021
Admission routes1
Has abstractyes

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