Decision-making tool for enhancing the sustainable management of cultural institutions: season content programming at Palau de la música catalana
Keywords: 
Multi-criteria decision-making
Multi-attribute utility theory
Sustainable cultural management
International artists
Music institutions
Season programming
Creative industries
Issue Date: 
17-Jul-2020
Publisher: 
MDPI
ISSN: 
2071-1050
Citation: 
Casanovas-Rubio, M.d.M.; Christen, C.; Valarezo, L.M.; Bofill, J.; Filimon, N.; Armengou, J. Decision-Making Tool for Enhancing the Sustainable Management of Cultural Institutions: Season Content Programming at Palau De La Música Catalana. Sustainability 2020, 12, 5785. https://doi.org/10.3390/su12145785
Abstract
There has been an increasing relevance of the cultural sector in the economic and social development of different countries. However, this sector continues without much input from multi-criteria decision-making (MDCM) techniques and sustainability analysis, which are widely used in other sectors. This paper proposes an MCDM model to assess the sustainability of a musical institution’s program. To define the parameters of the proposed model, qualitative interviews with relevant representatives of Catalan cultural institutions and highly recognized professionals in the sector were performed. The content of the 2015–2016 season of the ‘Palau de la Música Catalana’, a relevant Catalan musical institution located in Barcelona, was used as a case study to empirically test the method. The method allows the calculation of a season value index (SVI), which serves to make more sustainable decisions on musical season programs according to the established criteria. The sensitivity analysis carried out for different scenarios shows the robustness of the method. The research suggests that more complex decision settings, such as MCDM methods that are widely used in other sectors, can be easily applied to the sustainable management of any type of cultural institution. To the best of the authors’ knowledge, this method was never applied to a cultural institution and with real data.
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