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Record W2288223492 · doi:10.5539/jms.v6n1p1

Sustainable Evolution for Global Business: A Synthetic Review of the Literature

2016· review· en· W2288223492 on OpenAlexvenueno aff
Sea‐Jin Chang

Bibliographic record

VenueJournal of Management and Sustainability · 2016
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityNormativeShareholderStakeholder theoryScope (computer science)Sustainability organizationsStakeholderCorporate sustainabilityCorporate social responsibilityOrder (exchange)Social sustainabilityBusinessSustainable developmentEconomicsPolitical scienceManagementPublic relationsCorporate governanceComputer scienceEcologyLaw

Abstract

fetched live from OpenAlex

<p>This paper reviews the recent literature on business sustainability. While it is almost impossible to give a universally agreeable definition of “sustainability” due to its scope, depth, and inclusive nature, this paper reviews a fairly large set of research efforts, both empirical and normative, that examine the sustainability issue in regards to the theoretical development, the interface between business and society, the interrelationships among firms, markets, and the public interest, sustainability measurement and assessment, as well as the changes, developments, and evolution in recent years along those lines. The uniqueness of the study is to review the literature by following the developmental and evolutionary sequences in business sustainability in order to shed light on how the concept of corporate sustainability has evolved from the traditional shareholders-focused neoclassical view and how it is advanced from the ideas of environmentalism, stakeholder theory, and CSR.</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)0.006
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.813
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.292
Teacher spread0.277 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations16
Published2016
Admission routes1
Has abstractyes

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