Introduction: Personalised nutrition (PN) has great potential for disease prevention, particularly if coupled with the power and accessibility of mobile technology. However, success of PN interventions will depend on the willingness of users to subscribe. This study investigates the factors associated with potential users' perceived value of PN and heterogeneity in these values. Methods: A discrete choice experiment was carried out in a representative sample (N=429 valid responses) from the adult population in Spain. The results were analysed in line with McFadden's Random Utility Theory, using conditional and mixed logit models in addition to a latent class logit model. Results: The conditional and mixed logit models revealed the existence of a significant preference and willingness to pay for personalized nutrition, but the effect on average was not large for the highest level of personalization. The latent class logit revealed four classes of respondent: those who would be likely to pay for a high level of personalized nutrition service, those who would use it if it were heavily subsidized, those who would use only a basic nutrition service, and those who would not be willing to engage. These results could be useful for the design and targeting of effective personalized nutrition services. Conclusions: Over half of adults currently perceive some individual benefit in a high level of PN, which may justify some degree of public subsidy in investment and delivery of such a service.
Key points for decision-makers• We found four classes of consumers depending on their attitude through personalised nutrition and their individual characteristics. • Half of adults currently perceive some individual benefit in high levels of personalised nutrition. • Digital service delivery is feasible from consumers' point of view, leading to a reduction in provision costs.
El objetivo de la investigación fue identificar el actual tejido socio empresarial de España, así como detallar el perfil de la Empresa Social activa. En esta identificación, se planteó una investigación inductiva mediante un análisis cuantitativo a partir de fuentes secundarias, en particular, desde cuatro directorios públicos de Empresas Sociales localizadas en España. A partir de los cuales se elaboró una base de datos (directorio) propia con varias variables comunes (tamaño, sector, año de constitución, región) sobre las características corporativas. Cuando se obtuvieron los datos, se trataron con Stata, en un análisis estadístico descriptivo e inferencial de una población localizada de 2.587 empresas. Se determinaron varias características definitorias de las actuales Empresas Sociales de España, como la concentración territorial (la mayoría se ubica en tres regiones: Andalucía, Comunidad de Madrid y Cataluña) donde arraiga la Economía Social. Este perfil conectó en la conceptualización nacional de Empresa Social, al contribuir a la literatura dando respuesta a las apelaciones originales de diversas autorías para contrastar empíricamente las deducciones existentes de la organización social con la variedad de experiencias y modelos. Así, este estudio se situó en una línea de investigación emergente de mapeo y tipificación territorial.
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