Facing Covid-19
The digitalization path of Opera di Santa Maria del Fiore in Florence
Dados Bibliográficos
| ID | 21601630 |
|---|---|
| Autores | Silvia Fissi (0000-0002-8703-9324, University of Florence, autor correspondente), Elena Gori (0000-0001-8310-1250, University of Florence), Alberto Romolini (0000-0002-1497-0281, Faculty of Economics, International Telematic University Uninettuno, Rome, Italy), Marco Contri (0000-0001-5644-2105, University of Pisa) |
| Ano | 2022 |
| Volume | 30 |
| Fascículo | 4 |
| Páginas | 573-589 |
| Data de publicação | 2022-04-03 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | European Planning Studies (JOURNAL) |
| Identificadores do periódico | ISSN: 0965-4313 • E-ISSN: 1469-5944 |
| Editora | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/09654313.2021.1974352 |
| OpenAlex | W3198690665 |
| Idioma | EN |
| Citações recebidas | 8 |
| Referências citadas | 55 |
Over the past few decades, digital technologies have become essential for the competitive success of museums and the achievement of their institutional mission. To the best of our knowledge, few studies have analyzed the effect of the Covid-19 pandemic on digitalization in the museum sector. In light of this, the present study aims to investigate whether the pandemic has accelerated the digital transformation of museums. It examines the case of Opera di Santa Maria del Fiore in Florence through semi-structured interviews and secondary sources. The results show that the museum started its digitalization some time ago, but the pandemic has accelerated it. The institution has been developing several new digital projects using various online and onsite tools
2019-20 coronavirus outbreak · Art · Humanities · Institution · Opera · Pandemic · Political science · Visual arts · Aesthetic Perception and Analysis · Museums and Cultural Heritage · Virtual Reality Applications and Impacts
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| Obras citantes distintas | 8 |
|---|---|
| Citações por ano | 4 |
| Intervalo de citações | 2024 - 2025 (2) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 8 |