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The future of French museums in 2030

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  • Pauget, Bertrand
  • Tobelem, Jean-Michel
  • Bootz, Jean-Philippe

Abstract

The purpose of this article is to describe the possible futures of French museums up to 2030. To do this we rely on a Delphi study that took place between late 2017 and early 2018 with 99 experts from the field. We propose three scenarios. The first aims to create museums centered around youth and to democratize culture. The second corresponds to the reaction of museums facing a decrease in public funding. The third is a breakdown scenario, where museums undergo evolutions. In this latter scenario, a direct participation of nearby stakeholders is observed, unlike the other two scenarios.

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  • Pauget, Bertrand & Tobelem, Jean-Michel & Bootz, Jean-Philippe, 2021. "The future of French museums in 2030," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    • Handle: RePEc:eee:tefoso:v:162:y:2021:i:c:s0040162520312105
    DOI: 10.1016/j.techfore.2020.120384
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    1. Liimatainen, Heikki & Kallionpää, Erika & Pöllänen, Markus & Stenholm, Pekka & Tapio, Petri & McKinnon, Alan, 2014. "Decarbonizing road freight in the future — Detailed scenarios of the carbon emissions of Finnish road freight transport in 2030 using a Delphi method approach," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 177-191.
    2. Pauget, Bertrand & Dammak, Ahmed, 2019. "The implementation of the Internet of Things: What impact on organizations?," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 140-146.
    3. Warth, Johannes & von der Gracht, Heiko A. & Darkow, Inga-Lena, 2013. "A dissent-based approach for multi-stakeholder scenario development — The future of electric drive vehicles," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 566-583.
    4. Jiang, Ruth & Kleer, Robin & Piller, Frank T., 2017. "Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 84-97.
    5. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    6. Mottner, Sandra & Ford, John B., 2005. "Measuring nonprofit marketing strategy performance: the case of museum stores," Journal of Business Research, Elsevier, vol. 58(6), pages 829-840, June.
    7. Ribeiro, Barbara E. & Quintanilla, Miguel A., 2015. "Transitions in biofuel technologies: An appraisal of the social impacts of cellulosic ethanol using the Delphi method," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 53-68.
    8. Bruno Frey, 1998. "Superstar Museums: An Economic Analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 22(2), pages 113-125, June.
    9. Apreda, Riccardo & Bonaccorsi, Andrea & dell'Orletta, Felice & Fantoni, Gualtiero, 2019. "Expert forecast and realized outcomes in technology foresight," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 277-288.
    10. Melander, Lisa & Dubois, Anna & Hedvall, Klas & Lind, Frida, 2019. "Future goods transport in Sweden 2050: Using a Delphi-based scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 178-189.
    11. Martine PEYRARD-MOULARD & Bertrand PAUGET, 2013. "Vers Une Societe Relationnelle En France : Impact Et Divergence Avec Une Societe Orientee Par L’Economie Et Le Pib: Le Cas De La Protection Sociale," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 12(2), pages 18-23.
    12. Fritschy, Carolin & Spinler, Stefan, 2019. "The impact of autonomous trucks on business models in the automotive and logistics industry–a Delphi-based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    13. Martin Shubik, 1999. "Culture and Commerce," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(1), pages 13-30, March.
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    1. Malgorzata Galecka & Katarzyna Smolny, 2021. "Productivity of Public Theatres in the Times of COVID-19: The Example of Polish Theatres," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 667-678.

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