Déterminants of In‐store Information Search Stratégies Pertaining to a Christmas Gift Purchase
Bibliographic record
Abstract
Abstract This study examines consumers' use of in‐store information sources while Christmas shopping. A literature review identifies a number of situational, personal, and démographic variables that may influence search behaviour for a Christmas gift. A survey was conducted soon after the Christmas season to investigate the effects of the identified variables on search behaviour pertaining to a clothing gift. Findings indicate that in‐store search behaviour consists of three dimensions: general information search (e.g., dispays, comparing prices/brands), specific information search (e.g., labels, packaging), and assistance of sales clerks. Each search dimension was regressed on the identified variables, and determinants were obtained. Situational variables consistently outper‐forn all other variables, and personal variables outper‐form demographics for the two nonpersonal search variables. Implications for further research and for practitioners are provided. Résumé La présente recherche s'intéresse à l'utilisation par les consommateurs des sources d'information à l'intérieur du magasin lors du choix de cadeaux de Noël. Une revue de la littérature identifie plusieurs variables (personnalité, situation et démographie) comme pouvant influencer la recherche d'information lors du choix d'un cadeau de Noël. Une enquěte a été menée juste après les Fětes afin d'identifier les variables qui ont pu influencer le choix d'un větement comme cadeau. Les résultats indiquent que la recherche d'information comporte trois dimensions: la recherche générale (ex.: présentoirs, comparaison des marques et des prix), la recherche spécifique (ex.: étiquettes et emballage) et l'aide d'un vendeur. Une régression de toutes les variables sur chaque dimension permet d'identifier les déterminants de la recherche d'information. Les variables de situation sont les plus importantes sur les trois dimensions, et les variables de personnalité plus importantes que les variables démographiques sur les deux premières dimensions. Enfin, l'article fournit des suggestions pour de futures recherches et indique les retombées pour les gestionnaires.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".