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Record W4281680983 · doi:10.1111/joss.12766

Effect of geographical origin on consumers' emotional response to alcoholic beverages: A study with wine and cider

2022· article· en· W4281680983 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Sensory Studies · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSensory Analysis and Statistical Methods
Canadian institutionsAcadia University
Fundersnot available
KeywordsWinePurchasingAffect (linguistics)Consumer behaviourPsychologyMarketingCountry of originAdvertisingGeographyFood scienceBusinessCommunication

Abstract

fetched live from OpenAlex

Abstract Consumers do not evaluate food products exclusively using sensory properties, but rather they judge them using both intrinsic (ex. sensory properties) and extrinsic (ex. brand, packaging, geographic origin) factors. Alcoholic beverages include a wide variety of information on their packaging, with one factor being geographic origin. The purpose of this study was to determine how geographic origins can influence a consumer's emotional response to alcoholic beverages (wine and cider). First, consumers were asked to identify wine and cider‐producing countries. Then in the first trial, consumers ( n = 112) evaluated wine samples from different geographic origins (France, Italy, Canada, USA, Nova Scotia [NS]). In the second trial, consumers ( n = 102) evaluated cider samples labeled with different geographic origins (France, USA, Canada, United Kingdom, NS). In both trials, the samples were evaluated using the check‐all‐that apply variant of the 25‐item version of the EsSense Profile® and a purchase intent scale. The geographic origin affected the consumers' purchase intent of both wines and ciders. Participants that had higher knowledge about wine or cider, were not influenced by the geographic origin. In both trials, purchase intent scores increased when positive emotions were selected. However, the consumer's level of knowledge did not affect their emotional response to the different geographical origins. Future research should investigate how cultural background affects consumers' emotional responses, and the influence of other extrinsic factors. Practical Applications Consumers have emotional responses to foods and these responses begin prior to purchase. Consumers rely on the packaging (extrinsic cues) to make purchasing decisions and alcoholic beverages contain a large number of extrinsic cues. Geographical origin is an extrinsic cue that is especially important for alcoholic beverages. This study aimed to evaluate consumers' emotional responses to alcoholic beverages from different geographical origins. The geographical origin affected the consumers' emotional response and purchase intent. When consumers experienced positive emotions their purchase intent increased. Future studies should evaluate the effect of other extrinsic cues.

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)0.002
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 score0.352
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.051
GPT teacher head0.350
Teacher spread0.299 · 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