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Record W2514612727 · doi:10.5539/jms.v6n3p1

Business Professionals’ Attitudes toward Sustainable Business Practices

2016· article· en· W2514612727 on OpenAlexvenueno aff
Otto H. Chang, Michael D. Slaubaugh

Bibliographic record

VenueJournal of Management and Sustainability · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityBattleUtilitarianismPublic relationsBusinessMarketingBusiness ethicsSustainable developmentPhilosophy of businessSustainable businessBusiness modelEconomic growthPolitical scienceEconomicsGeography

Abstract

fetched live from OpenAlex

Maintaining the sustainability of our planet is an important issue as it affects the wellbeing of future generations. Businesses can potentially play an instrumental role in addressing global warming and maintaining the ecological equilibrium of nature. Attitudes held by business executives and professionals regarding sustainable business practices can help determine the outcome of this battle. A survey instrument was administered to 166 business professionals in the Midwest United States to assess these attitudes. In general, we found that the surveyed business professionals have positive attitudes toward sustainable business practices. These attitudes were correlated with utilitarianism ethics and new business opportunities hypothesis, but not with the cost factor or a belief in a free market economy. Several background variables were found to explain the variation of the subjects’ overall attitudes toward sustainability: age, religious affiliation, political affiliation, and education.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.266
Teacher spread0.251 · 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 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

Citations4
Published2016
Admission routes1
Has abstractyes

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