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Record W4413190524 · doi:10.1080/15568318.2025.2544181

The role of the new ecological paradigm scale on the willingness to pay and willingness to wait for e-commerce deliveries

2025· article· en· W4413190524 on OpenAlexaff
Tanguy Baiwir, Sabine Limbourg, Mario Cools

Bibliographic record

VenueInternational Journal of Sustainable Transportation · 2025
Typearticle
Languageen
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsDepartment of Environment and Conservation
Fundersnot available
KeywordsWillingness to payScale (ratio)Environmental economicsBusinessEnvironmental resource managementMarketingEconomicsNatural resource economicsGeographyMicroeconomics

Abstract

fetched live from OpenAlex

Amidst the rise of e-commerce, understanding the interplay between consumer behaviors and environmental considerations has become pivotal. This study examines how environmental awareness impacts e-commerce consumers’ preferences for sustainable versus express delivery options. To contribute to the literature in this field, we investigate the behaviors of a sample of 299 e-commerce consumers, particularly in light of growing environmental concerns. Leveraging the New Ecological Paradigm Scale (NEPS), we compute an ecological score, offering a comprehensive insight into its influence on varied consumer decisions. Principal Component Analysis of the NEPS items reveals that the first four components account for nearly 50% of the variance, highlighting significant dimensions of environmental perspectives. Additionally, Cronbach’s alpha analysis indicates that the NEPS scale is reliable and has good internal consistency, justifying the use of a summated scale to reflect overall ecological positioning. We then contrast two primary delivery types: sustainable and express. The key metrics under scrutiny include the willingness to wait and the willingness to pay for sustainable delivery and willingness to pay for express delivery. Our findings affirm that NEPS affects positively willingness to pay and willingness to wait for sustainable delivery and negatively WTP for express delivery.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.218

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.213
Teacher spread0.207 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2025
Admission routes1
Has abstractyes

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