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Record W4407913285 · doi:10.21272/esbp.2024.4-02

Impact of corporate environmental responsibility on business competitiveness and sustainability

2024· article· en· W4407913285 on OpenAlexaboutno aff
Iryna Lutsenko, Pavlo Tkachenko, Олег Михайлович Олефіренко

Bibliographic record

VenueEconomic sustainability and business practices · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessSustainabilityCorporate sustainabilityCorporate social responsibilityAccountingEnvironmental resource managementPublic relationsEconomicsPolitical scienceEcology

Abstract

fetched live from OpenAlex

This paper investigates the growing importance of environmental responsibility, focusing on the sustainability efforts of major corporations such as Google and Apple. The research explores how these companies address global environmental challenges through innovative strategies, such as carbon emissions reduction and circular economy practices. The report highlights increasing public awareness of ecological issues by analysing Google Trends data for the USA, Canada, and Germany. This study identifies these companies' key actions to minimise their environmental footprints through a detailed review of Apple's and Google's sustainability strategies. Apple’s focus on recycled materials, trade-in technology, and reducing plastic use in packaging demonstrates its commitment to a circular economy. Meanwhile, Google’s ambition to achieve a fully decarbonised supply chain by 2030 exemplifies its efforts to minimise carbon emissions, positioning itself as a leader in corporate sustainability. The findings suggest that these corporate initiatives are aligned with global trends toward increased environmental responsibility. The paper discusses the potential for other companies to adopt similar sustainability practices and the challenges in scaling these strategies across different sectors and regions. By offering insights into the practical significance of corporate sustainability initiatives, this report provides valuable recommendations for businesses seeking to integrate environmental responsibility into their operations. The study contributes to the growing body of knowledge on sustainability in the corporate sector, emphasising the need for continued innovation and collaboration to address climate change. It is essential to provide educational initiatives, raise the awareness of employees and customers about environmental responsibility, and organise training and campaigns to promote an ecological lifestyle. These strategies allow companies to reduce their environmental impact and increase their competitiveness in the market, responding to the growing demand for environmentally responsible products and services.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0040.010
Scholarly communication0.0160.007
Open science0.0010.011
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.018
GPT teacher head0.271
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2024
Admission routes1
Has abstractyes

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