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Record W4401916503 · doi:10.5539/ijps.v16n3p86

Exploring the Impact of Work-Life Balance on Employees: A Systematic Literature Review

2024· article· en· W4401916503 on OpenAlexvenueno aff
Nuradilla Zahra, Marina Sulastiana, Efi Fitriana

Bibliographic record

VenueInternational Journal of Psychological Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyWork–life balanceBalance (ability)Work (physics)Applied psychologySocial psychology

Abstract

fetched live from OpenAlex

The objective of this research is to provide a comprehensive understanding of work-life balance outcomes toward employees. The research adopts the Systematic Literature Review (SLR) approach. The researcher conducts a literature review encompassing the search and analysis of initial data collected from databases such as Scopus, PsycInfo, Emerald, Sciencedirect, Sage and Springerlink. The systematic literature review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The systematic literature review retrieved a total of 38 articles. After undergoing several stages, 25 articles met the criteria and were subsequently subjected to a more in-depth analysis. The findings of this systematic literature review have been categorized into two main outcomes: individual and organizational outcome. By knowing the outcome of work-life balance, the organization can identify the positive and negative impact of work-life balance for both individual and organization. Moreover, it also can be used to gain deeper insight into the importance of balancing work and personal life, as well as its implications in both individual and organization context.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.753
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.244
GPT teacher head0.477
Teacher spread0.233 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations4
Published2024
Admission routes1
Has abstractyes

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