Bibliographic citations
Meneses, G., Saldarriaga, D. (2020). La relación entre la reciprocidad de la comunidad, la distancia social afectiva, y la receptividad de la comunidad en la recomendación online de productos de ropa femenina en Facebook e Instagram, en las mujeres de 21 a 35 años en los distritos de Surquillo, Barranco y San Juan de Miraflores en Lima Metropolitana [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/655000
Meneses, G., Saldarriaga, D. La relación entre la reciprocidad de la comunidad, la distancia social afectiva, y la receptividad de la comunidad en la recomendación online de productos de ropa femenina en Facebook e Instagram, en las mujeres de 21 a 35 años en los distritos de Surquillo, Barranco y San Juan de Miraflores en Lima Metropolitana [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/655000
@misc{renati/394170,
title = "La relación entre la reciprocidad de la comunidad, la distancia social afectiva, y la receptividad de la comunidad en la recomendación online de productos de ropa femenina en Facebook e Instagram, en las mujeres de 21 a 35 años en los distritos de Surquillo, Barranco y San Juan de Miraflores en Lima Metropolitana",
author = "Saldarriaga Diaz, Diego Arturo",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
The main objective of this research is to determine if exits or not a relationship between community reciprocity, affective social distance, community receptivity influence, and the online recommendation of women's clothing products on Facebook and Instagram, in women between 21 and 35 years old and who reside in Surquillo, Barranco and San Juan de Miraflores districts in Lima Metropolitana. For this, we made a mixed approach study, since it uses a quantitative and qualitative methodology. A descriptive and correlational study was used to measure the relationship between the variables (community reciprocity, affective social distance, community receptivity, and product recommendation) and it was used to determine a predictable pattern in our segment of interest. Furthermore, we made an in-depth interview that was conducted with an expert from the fashion industry in order to validate our objectives and hypotheses. We made four interviews that were conducted with influencers or fashion bloggers, who also play an important role in generating online recommendations, in order to obtain relevant information about our segment of interest. In turn, a confirmatory factor analysis was performed to validate the theory proposed within theoretical framework. Finally, a survey was applied to a sample of 382 individuals, where the necessary information was collected to carry out the respective statistical and inferential analysis.
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