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Record W4417401040 · doi:10.1522/revueot.v34n3.2018

Perception de manipulation dans un point de vente : quels impacts sur la résistance envers le commerçant et sur la satisfaction à l’égard de la visite?

2025· article· fr· W4417401040 on OpenAlexaffvenueabout
Bilitis Berthiaume, Lova Rajaobelina, Isabelle Le Brun, Line Ricard

Bibliographic record

VenueRevue Organisations & territoires · 2025
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsUniversité de MonctonUniversité du Québec à Montréal
Fundersnot available
KeywordsPerceptionDimension (graph theory)ESPACECognition

Abstract

fetched live from OpenAlex

Bien que la perception de manipulation puisse expliquer certaines réactions chez le consommateur, telles qu’une attitude négative envers le commerçant ou la diminution des intentions d’achat, aucune recherche quantitative n’a encore exploré sa relation avec la résistance envers le commerçant, ainsi que la satisfaction à l’égard de la visite. En adoptant une approche multidimensionnelle, cet article détermine les impacts de chacune de ses dimensions (cognitive, comportementale et affective) sur ces deux variables. Un questionnaire en ligne a été rempli par 200 consommateurs québécois. Des équations structurelles ont été réalisées avec EQS 6.4. Les résultats confirment que la perception de manipulation est multidimensionnelle et qu’en point de vente elle suscite des réactions variées chez le consommateur, avec des impacts différenciés selon les dimensions. Plus précisément, la dimension cognitive tend à accroître la résistance attitudinale et comportementale, tout en réduisant la satisfaction, tandis que la dimension affective renforce la résistance comportementale et diminue la satisfaction. Des recommandations sont proposées pour éviter ces réactions négatives.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
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 head0.012
GPT teacher head0.254
Teacher spread0.242 · 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.

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

Citations0
Published2025
Admission routes3
Has abstractyes

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