Impact of corporate environmental responsibility on business competitiveness and sustainability
Bibliographic record
Abstract
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".