1,722,016 research outputs found
[Regents] Photograph of Donato C. Salinas, Dr. Robert Nelsen, and Blandina Cardenas Flores
No full textDonato C. Salinas, Dr. Robert Nelsen, and Blandina \u27Bambi\u27 Cardenas Flores at the Regents Event.https://scholarworks.utrgv.edu/utpaphotographs/1478/thumbnail.jp
[Regents] Photograph of Miguel A. Nevarez with Donato C. Salinas and Blandina Cardenas Flores
No full textMiguel A. Nevarez with Donato C. Salinas and Blandina \u27Bambi\u27 Cardenas Flores at the Regents Event.https://scholarworks.utrgv.edu/utpaphotographs/1510/thumbnail.jp
Disgust and preference for familiar brands
Full text linkDisgust represents an undesired state that signals the presence of threats in the external environment, leading to a change in needs and motivations aimed at coping with the threats. The present research aims at studying the effects of disgust in a consumer setting, proposing that once disgusted consumers show an immediate avoidance for familiar (vs. unfamiliar) brands. However, this avoidant reaction is followed by an opposite response of preference for familiar (vs. unfamiliar) brands. Moreover, conversely to the immediate response of avoidance of familiar brands, the subsequent response of preference for familiar brands is even stronger in case the consumer is depleted, showing a more deliberative nature of that response. The proposed results contribute to both emotion and consumer research debates demonstrating how an externally induced emotion, as disgust, influences consumers’ brand choice over time. Moreover, the present findings offer interesting suggestions to brand managers and retailers in order to better promoting the commercialized brands
L'emigrazione giuliana nel mondo. Note introduttive
No full text"QUADERNI" DEL CENTRO STUDI ECONOMICO-POLITICI "EZIO VANONI
Tell me more and make me feel proud: the role of eco-labels and informational cues on consumers' food perceptions
No full textGoing Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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