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Record W2345037971 · doi:10.5539/jms.v6n2p77

The Evolution of Sustainability in a Global Firm and Its Supply Chain

2016· article· en· W2345037971 on OpenAlexvenueno aff
Robert N. Mefford, Payson Johnston

Bibliographic record

VenueJournal of Management and Sustainability · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityBusinessSupply chainSustainabilityGlobeIndustrial organizationContext (archaeology)Process (computing)Corporate sustainabilityMarketingPublic relations

Abstract

fetched live from OpenAlex

<p>Firms typically go through an evolutionary process in development of their Corporate Social Responsibility (CSR) programs. This paper traces the development of CSR initiatives and the incorporation of sustainability into the corporate culture and business model of a large global firm in the electronics industry. The process at this firm involves several distinct stages and extends over a period of more than ten years. The organizational and managerial factors facilitating the broadening and deepening of CSR penetration and the institutional barriers encountered are discussed. The importance of fitting CSR initiatives to a company’s core competencies is evident at this firm where their most successful programs, in both a business and societal benefits sense, have used the firm’s networking expertise to provide communication services and training in both developing and developed countries. At its current stage of evolution, CSR at the firm has achieved penetration into most functional areas and is a decision criterion for many operational and strategic decisions. The firm is currently extending its sustainability efforts to its supply chain partners across the globe collaborating with them to improve their performance and build their capabilities in CSR. However, the expansion into the supply chain has not been without its hurdles. The company’s sustainability programs are discussed in the context of the theoretical and empirical literature on CSR. Implications for other firms undergoing a similar evolutionary process are highlighted. The next stage in this firm’s evolutionary process of expanding CSR into its global supply chains is discussed in the terms of its potential and challenges.</p>

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)0.003
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 score0.204
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.223
Teacher spread0.218 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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