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Cultural Sustainability in University Students’ Flamenco Music Event Attendance: A Neural Networks Approach

doi: 10.3390/su13052911
University students consume live music; however, almost 40% declare that they have never attended a flamenco show, an intangible heritage of humankind. Numerous studies have shown that cultural capital and socioeconomic profile, among other factors, are variables that influence cultural consumption, and therefore, cultural sustainability. Considering the relationship between several variables, this paper pursues a double objective. On the one hand, identifying the factors that influence attendance at flamenco shows, and on the other, proposing a predictive model that quantifies the likelihood of an individual attending a flamenco show. To this end, we analyse flamenco consumption by means of a survey conducted on 452 university students, using Multilayer Perceptrom (a non-parametric model), a methodology based on an artificial neural network. Our results confirm the importance of cultural capital, as well as personal and external factors, among other. The findings of this research work are of potential interest for management and planning of cultural events, as well as to promote cultural sustainability.
- University of Granada Spain
- University of Granada (UGR) Spain
- "UNIVERSIDAD DE SEVILLA Spain
- University of Granada (UGR) Spain
- University of Seville Spain
Consumption, event, Culture, TJ807-830, TD194-195, Renewable energy sources, flamenco music, GE1-350, consumption, Event, attendance, Environmental effects of industries and plants, sustainability, culture, Environmental sciences, Sustainability, Attendance, Flamenco music
Consumption, event, Culture, TJ807-830, TD194-195, Renewable energy sources, flamenco music, GE1-350, consumption, Event, attendance, Environmental effects of industries and plants, sustainability, culture, Environmental sciences, Sustainability, Attendance, Flamenco music
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
