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Record W3005345016 · doi:10.3126/qjmss.v1i2.27446

The Gap between Attitudes and Behavior in Ethical Consumption: A Critical Discourse

2019· article· en· W3005345016 on OpenAlexaff
Pragya Budhathoki, Kabita Adhikari, Ranjana Koirala

Bibliographic record

VenueQuest Journal of Management and Social Sciences · 2019
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsQuest University Canada
FundersUniversiteit GentStrong
KeywordsConsumption (sociology)DeskMarketingConsumer behaviourQuality (philosophy)Product (mathematics)PurchasingBusinessPsychologySocial psychologySociologyPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

Background: Although consumers are increasingly concerned with ethical factors when forming product opinions and making purchase decisions, recent studies have highlighted significant differences between consumers’ ethical consumption intentions and their actual buying behavior.Various dimensions concerning how consumers make purchase and consumption decisions and the driving forces behind them have been identified through this study. Objectives: This paper aims to explore the factors leading the gap between attitudes and behavior of consumers in relation to ethical consumption. Methods: The desk review carried out on various related studies reflects that the factors that obstruct the process of ethical consumption and thereby being responsible in forming attitude-behavior gap, which can be helpful in the course of management decision implications worth encouragement of ethical consumption behavior. Moreover, conceptual framework that has been developed for ethical consumption also indicates the factors responsible for creating ethical intention-behavior gap. Findings: This study derives concepts on ethical consumption from literature survey and identifies consumers’ understanding level on ethical consumption. Likewise, the study also provides a comprehensive picture of factors impeding ethical consumption among consumers while providing some theoretical and analytical applications. Conclusions: Price, quality, taste, brand image of products and convenience are some of the considerable issues while buying, due to which consumers’ ethical concerns towards society and environment are not transformed into their consumption behavior.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.136
Threshold uncertainty score0.669

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.307
GPT teacher head0.533
Teacher spread0.226 · 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 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

Citations12
Published2019
Admission routes1
Has abstractyes

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