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Record W3128256405 · doi:10.1051/e3sconf/202123503009

Business Analysis on Sustainable Competitive Advantages

2021· article· en· W3128256405 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

VenueE3S Web of Conferences · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsCape Breton University
Fundersnot available
KeywordsCompetitive advantageSustainabilityBusinessContext (archaeology)Industrial organizationResource (disambiguation)Sustainable developmentResource-based viewStrategic managementCorporate sustainabilityEnvironmental economicsEconomicsMarketingComputer science

Abstract

fetched live from OpenAlex

With the rapid economic growth and globalization, sustainability begins to play a more and more important role in the strategic management of a company. This paper explains what the sustainability competitive advantages are, and what factors are related to sustainability. It also briefly introduces the sustainable competitive advantages from institutional and resource-based views. In addition, this paper presents that sustainable competitive advantages largely depend on the company’s capability to manage the institutional context of resource decision. Sustainable competitive advantages are not only related to internal context, but also related to external environment. This paper explains the link of sustainable competitive advantages in the internal and external environment. In conclusion, it presents the necessary understanding for entrepreneurs to concentrate on factors which influence corporate sustainability beyond numbers in the financial analysis.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.235
Teacher spread0.221 · 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