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Record W7005061773

Plans to Practice- The Gap Between SME Sustainability Aspirations and Implementation

2025· other· en· W7005061773 on OpenAlexaboutno aff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2025
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityProcess (computing)Psychological interventionResilience (materials science)Face (sociological concept)Psychological resilienceResource (disambiguation)Triple bottom line
DOInot available

Abstract

fetched live from OpenAlex

This research investigates the gap between sustainability ambitions and practical implementation among Canadian Small and Medium-sized Enterprises (SMEs). Through literature review, interviews, and data analysis, the study identifies three critical implementation thresholds for SME’s: stuck in ambiguity, buried in complexity, and struggling to start. The findings reveal that purpose serves as a foundational element rather than one of four equal pillars in the quadruple bottom line framework. SMEs demonstrate strong purpose-driven values aligned with sustainability principles, but face systemic barriers including emotional factors, resource constraints, and fragmented support systems. The paper reconceptualizes sustainability as an ongoing process of building organizational capacity while resilience represents the mobilization of that capacity during disruptions. This leads to a recommendation of ten practical interventions addressing barriers within and outside of SMEs control. This research provides actionable pathways for SMEs to strengthen their sustainability implementation and enhance overall resilience.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.035
metaresearch head score (Gemma)0.076
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.214
Threshold uncertainty score0.425

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.076
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.007
Scholarly communication0.0120.006
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.054
GPT teacher head0.330
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2025
Admission routes1
Has abstractyes

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