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Record W2412328986 · doi:10.5539/jsd.v9n3p65

Global Organisations and SME in India: A Comparative Study of Sustainability Initiatives

2016· article· en· W2412328986 on OpenAlexvenueno aff
Amrinder Kaur, Puja Chhabra Sharma

Bibliographic record

VenueJournal of Sustainable Development · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityBusinessProduct (mathematics)Supply chainCorporate governanceCompetitive advantageScale (ratio)Sustainability organizationsMarketingFinance

Abstract

fetched live from OpenAlex

Sustainability has become a mandatory strategy for survival on the planet. Sustainable development is an imperative for survival and growth for nations, peoples and the organisations. The study embraces the sustainability initiatives of Global and Small/Medium enterprises (SME) working in India. Data was collected for the study using a questionnaire. Mid-senior level executives were contacted for their take on sustainability initiatives by their organisations in India. The responses were collected both from globally operating organisations and SME in India. The summarised data was analysed to arrive at the conclusions. The study indicates that global organisations are operating at global scale in corporate sustainability programs for competitive advantage, to mitigate risk, for building a brand, and to regulate the complexity of global supply chains for business growth to ensure an enhanced market share/customer growth. The SMEs in India are found at a nascent stage with respect to sustainability and are only involved in activities necessary for their survival. Incorporating sustainability initiatives in the business practices of SME will need awareness and policy frame. On the other hand, the global organisations have a long way to go to create appreciable impact on the planet via their sustainability efforts. However, changes of responsible product, processes and global supply chain designs are being incorporated in their culture. These initiatives will need further push through governance and policy announcements at a regional and country level for far reaching impact. And for emerging countries like India they can be leaders in sustainability efforts for other Indian organisations particularly SME to follow sustainability based practices.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.182
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.264
Teacher spread0.247 · 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

Citations10
Published2016
Admission routes1
Has abstractyes

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