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Record W4393404930 · doi:10.61778/ijmrast.v2i3.44

Analysis of a young Polish firm's use of Green HRM practices with the purpose of achieving sustainable business development

2024· article· en· W4393404930 on OpenAlex
S. Rafiya Banu, S. Jayakani, Uma, Ms. Maria Fastina, Ms. Kaavya Vikraman, Ms. M. V. Rebeeca Angeline

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Multidisciplinary Research in Arts Science and Technology · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Practices
Canadian institutionsSheridan College
Fundersnot available
KeywordsBusinessSustainable businessSustainable developmentBusiness developmentBusiness administrationProcess managementKnowledge managementIndustrial organizationSustainabilityComputer sciencePolitical science

Abstract

fetched live from OpenAlex

The concept of incorporating environmental practices into human resource management, commonly referred to as Green HRM, has become increasingly popular. This is because sustainable development, particularly its ecological aspect, plays a crucial role in establishing a competitive edge for modern firms. The objective of the study was to compile a comprehensive inventory of the environmentally conscious human resource policies and processes used by startup enterprises in Poland, and subsequently assess their impact on the long-term sustainability of these organizations. In order to accomplish these objectives, a survey was conducted on a representative sample of 150 young enterprises. Based on the findings, the concept of Green HRM is relatively recent in Poland. There exists a strong correlation between the evaluation of the impact of particular Green HRM initiatives on the long-term sustainability of businesses and their subsequent implementation. The research indicates that a higher rating of an activity's impact resulted in its more frequent implementation in the evaluated firms. Based on the aforementioned analysis, it can be inferred that the dissemination of information regarding the favorable impacts of Green HRM on the sustainability of organizations is crucial in fostering greater adoption of this concept among young Polish enterprises.

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)0.004
metaresearch head score (Gemma)0.002
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 score0.058
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.008
Science and technology studies0.0000.001
Scholarly communication0.0000.004
Open science0.0010.001
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 head0.375
Teacher spread0.293 · 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