How non-consumption goals (elicited by competitive setting or social risk) and self-confidence influence the importance of trivial attributes in product evaluation
Notice bibliographique
Résumé
Purpose This research aims to provide new empirical evidence, showing that trivial attributes can exert a significant impact on product evaluation when they help to fulfill non-consumption goals (goal that goes beyond functional benefits). Design/methodology/approach The research presents two experimental studies that investigate the role of trivial product attributes in various non-consumption contexts. Findings Trivial attributes can have a significant impact on product evaluation when they help to fulfill non-consumption goals. First, in the non-competitive versus competitive choice settings, a trivial attribute becomes more important when it helps to make a choice (i.e. a non-consumption goal). Second, in the low versus high social risk settings, a trivial attribute becomes more important when it helps to reduce a social risk (i.e. a non-consumption goal). In addition, self-confidence is a moderator, which regulates consumers’ ability to rely on trivial attributes in making product choices. Research limitations/implications The social risk manipulations (high vs low) were operationalized by manipulating the impression motive related to social risk. The more important a goal is, the more risk consumers feel in decision making (Lazarus, 1991). Therefore, risk is a proxy of the goal strength or goal relevance. Future research is needed to examine goal strength’s sole influence on the perception of the trivial attribute. Practical implications From managerial perspective, trivial attributes can help companies to improve their sales. For example, a way to increase an attribute’s importance is to put the product in a competitive setting. Increasing a social risk further increases the influence of trivial attributes. When less confident consumers perceive the social risk is high, they prefer a brand with a trivial attribute. For consumers, the findings also suggest that consumers should not be tempted to consider trivial attributes in their purchase decisions. Reconsidering attributes and increasing self-confidence could help maintain focus on non-trivial attributes. Originality/value The study makes several contributions to theory and practice. This is the first study to systematically propose a framework of how trivial attributes’ role in product evaluation and choice change based on goals. The paper clarifies confusions about the definitions of trivial attributes and reconciles contradictory findings in literature. A trivial attribute can be instrumental in evaluation and choice when it helps to achieve a non-consumption goal. It is also the first study to introduce social risks into trivial attributes research in choices. The findings provide empirical evidence that social risks and self-confidence together drive consumers to prefer for trivial attribute.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,014 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».