Identificación de atributos extrínsecos e intrínsecos en relación con la producción de cerveza artesanal mexicana
نویسندگان
چکیده
The purpose of this paper is to identify concordances between producer and consumer perceptions on the importance craft beer’s intrinsic extrinsic attributes. Although beer Mexico’s most popular alcoholic beverage consumption has increased, producers still face challenges for growth. We therefore examine how attributes influence consumers’ purchases behavior. To analyze producers’ perspective, data were collected from a focus group brewers; results evaluated with Nvivo Atlas.ti software; then, semantic scales designed consumers. Main findings showed that relevant attributes, master brewers manufacturers, are style diversity, complexity, abundant hops malt, exotic ingredients, no additives, carbonated, non-industrial, independent, high-alcohol content, strong smell, flavor, thirst-quenching, more expensive than industrial beer, artisan-made aesthetic, sold directly by at low volume. Craft hold central idea type product ought not be in any way associated beer. This artisanal mindset limited elaboration production but also encompasses administration marketing. see themselves as sort elite, who manufacture elite It seems choose distance or process, which related processes marketing concepts. inclusion these would take them away realm products include industrial-made ones. These allow us ascertain manufacturers partially overlap those main differences consumers lie greater give little relevance brewers, believe other specific traits lead satisfaction. creates issues brewers’ success.
منابع مشابه
Identificación de un Sistema de Fijación de Tornillos con Ruido en Mediciones
Resumen La identificación de sistemas es una tarea anterior fundamental al control de los mismos. El estado del arte en la identificación ha permitido resolver el problema de conocer el modelo de los sistemas con alta precisión, considerando que las mediciones de las variables del sistema son realizadas sin error; o bien, efectuando algún tratamiento de filtrado. Sin embargo, existen casos dond...
متن کاملIdentificación de entidades con nombre basada en modelos de Markov y árboles de decisión
In this paper we investigate Named Entity Recognition (NER) systems using two well-known classifiers in the machine learning literature: Markov Models and Decision Trees. We have designed several systems to check the impact of introducing different characteristics which have a weak dependence of the language used. We also report the results obtained by our systems on the Spanish corpus provided...
متن کاملReconocimiento automático de objetos basado en la relación dimensional
This paper presents a methodology for tridimensional object recognition with respect to images of the stereoscopic vision system integrated by standard digital cameras. The methodology considered Resumen extendido de tesis doctoral. Graduado: Alejandro Israel Barranco Gutiérrez. Director: José de Jesús Medel Juárez. Fecha de graduación: 19.06.2010. Extended abstract of PhD thesis. Graduated: Al...
متن کاملAnálisis de propiedades de medidas de similitud con atributos binarios
We propose to extend an approach based on the set theory for similarity metrics with binary attributes that can be presented as a contingence table. We analyze different properties of similarity that allow us to classify them.
متن کاملUtilizando WordNet para Complementar la Información de Entrenamiento en la Identificación del Significado de las Palabras
La desambiguación del significado de las palabras se ha desarrollado como una subárea del Procesamiento del Lenguaje Natural (PLN), donde el objetivo es determinar el sentido correcto de aquellas palabras que tienen más de un significado, no es una tarea final en sí misma, sino una tarea intermedia necesaria en variadas aplicaciones del procesamiento del lenguaje natural. La resolución de la am...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Agroalimentaria
سال: 2022
ISSN: ['1316-0354', '2244-8128']
DOI: https://doi.org/10.53766/agroalim/2021.27.53.04