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Record W2277502896 · doi:10.1111/joms.12199

Why Firms Delay Reaching True Sustainability

2016· article· en· W2277502896 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Management Studies · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsYork University
Fundersnot available
KeywordsSustainabilityBusinessOffset (computer science)Industrial organizationMarketingComputer science

Abstract

fetched live from OpenAlex

Abstract This paper explores a discrepancy between what the literature says about sustainability and how sustainability is actually practiced. Our analysis reveals that we are in a transition era in which firms incrementally offset – rather than eliminate – their negative impacts on the environment and society. We also argue that external stakeholders have yet to create the conditions that would compel firms to become truly sustainable. We further find that a firm's response to external pressure to become truly sustainable greatly depends on its capabilities. For large firms, the decision to become truly sustainable is driven by their ability to manage external stakeholders’ expectations, with the most innovative of large firms remaining unsustainable even in the long term. In contrast, small innovative firms guide their decision‐making based on their internal readiness to change and therefore will be the first to reach true sustainability. Finally, and regardless of size, firms that lack an innovation capability are unlikely to become truly sustainable; they will struggle to survive the transition era.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.695

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.001
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 head0.017
GPT teacher head0.255
Teacher spread0.238 · 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