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Record W2801968194 · doi:10.3390/su10051534

Environmental Knowledge, Awareness, and Business School Students’ Intentions to Purchase Green Vehicles in Emerging Countries

2018· article· en· W2801968194 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

VenueSustainability · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsUniversité LavalThompson Rivers University
Fundersnot available
KeywordsEmerging marketsStratified samplingGreen consumptionMarketingBusinessConsumption (sociology)Theory of planned behaviorEnvironmentally friendlyValue (mathematics)Control (management)EconomicsManagementSociologyProduction (economics)

Abstract

fetched live from OpenAlex

Environmental awareness and changing attitudes toward “green consumption” are becoming evident in emerging countries’ markets. Using an extended theory of planned behavior, this paper aims to examine emerging countries’ business students’ intentions to purchase green vehicles. Stratified random sampling was used to select study participants, and data were collected through face-to-face interviews. Results revealed that environmental knowledge and awareness have a significant influence on business students’ favorable attitudes toward green vehicles. Further, a significant association between attitudes toward green vehicles, perceived behavioral controls, and intentions to purchase green vehicles was observed. Findings serve to inform managers and policy makers who are formulating strategies for maximizing value creation in an era of increasingly environmentally aware consumers in emerging markets. Ultimately, this policy will help to promote green technology initiatives, and encourage higher rates of adoption of eco-friendly vehicles in emerging countries.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.002
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 head0.009
GPT teacher head0.269
Teacher spread0.260 · 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