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Articles

Museum communication management in digital ecosystems. Impact of COVID-19 on digital strategy

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 548-570 | Received 21 Mar 2022, Accepted 05 Aug 2022, Published online: 22 Aug 2022

Figures & data

Table 1. Museums analysed. Source: Own elaboration based on data (AECOM Citation2021) and (Ministerio de Cultura y Deporte. Gobierno de España Citation2021).

Table 2. Main metrics of Museums’ SM.

Table 3. Technical sheet for content analysis.

Table 4. Main SM metrics during Stage 1- Isolation.

Table 5. Main SM metrics Stage 2.

Table 6. Coincidences of content between Instagram and Twitter.

Figure 1. Regression Model-1 based on general metrics of SM.

Figure 1. Regression Model-1 based on general metrics of SM.

Figure 2. Regression Model-2 based on analysis content for the detailed published content.

Figure 2. Regression Model-2 based on analysis content for the detailed published content.

Table 7. Endogenous variable: Engagement. OLS.

Table 8. Endogenous variable: total interactions.

Table 9. Endogenous variable: total interactions. Bootstrap.

Figure 3. Domain dessagregated by Stage and SM.

Figure 3. Domain dessagregated by Stage and SM.

Figure 4. National Art Museum of Catalonia 3 April 2020.

Figure 4. National Art Museum of Catalonia 3 April 2020.

Figure 5. National Museum of Art of Catalonia 8 May 2020.

Figure 5. National Museum of Art of Catalonia 8 May 2020.

Figure 6. Style dessagregated by Stage and SM.

Figure 6. Style dessagregated by Stage and SM.

Figure 7. Emotions dessagregated by Stage and SM.

Figure 7. Emotions dessagregated by Stage and SM.

Figure 8. WordsClouds Stage 1 and WordsCloud Stage 2.

Figure 8. WordsClouds Stage 1 and WordsCloud Stage 2.

Figure 9. Hashtags WordsClouds Stage 1 and WordsCloud Stage 2.

Figure 9. Hashtags WordsClouds Stage 1 and WordsCloud Stage 2.

Figure 10. Concurrence Word and SM Stage 1.

Figure 10. Concurrence Word and SM Stage 1.