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<p>In this paper, we explore the mechanism of managing red cultural resources enabled by digital technology. We developed a digital communication model for red culture and proposed an innovative pathway for the management of digitally-enabled red cultural resources. Then, a regression analysis model was established to assess the effects of digital management of cultural resources through model estimation and significance testing. Based on the one-way ANOVA model, we explored the differences in the evaluation of digital management of red culture in Shanxi by different students’ genders. We tested and regressed the correlation between digital red resource management and students’ sense of political efficacy and political emotion. The results show that the correlation coefficients between digital red education and intrinsic political efficacy and extrinsic political efficacy are between (0.5 and 0.6). The correlation coefficients of digitalized red resource management with students’ sense of intrinsic political efficacy and extrinsic political efficacy r are all greater than 0, p=0.000. They are significantly positively correlated under the condition of α=0.01. This study effectively promotes the high-quality development of digital transformation in red culture and builds a new pattern of digital inheritance and innovation in red culture.</p>
</abstract>

In this paper, we explore the mechanism of managing red cultural resources enabled by digital technology. We developed a digital communication model for red culture and proposed an innovative pathway for the management of digitally-enabled red cultural resources. Then, a regression analysis model was established to assess the effects of digital management of cultural resources through model estimation and significance testing. Based on the one-way ANOVA model, we explored the differences in the evaluation of digital management of red culture in Shanxi by different students’ genders. We tested and regressed the correlation between digital red resource management and students’ sense of political efficacy and political emotion. The results show that the correlation coefficients between digital red education and intrinsic political efficacy and extrinsic political efficacy are between (0.5 and 0.6). The correlation coefficients of digitalized red resource management with students’ sense of intrinsic political efficacy and extrinsic political efficacy r are all greater than 0, p=0.000. They are significantly positively correlated under the condition of α=0.01. This study effectively promotes the high-quality development of digital transformation in red culture and builds a new pattern of digital inheritance and innovation in red culture.

Digital Innovation of Red Cultural Resource Management Mode in Shanxi

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Digital Innovation of Red Cultural Resource Management Mode in Shanxi"}

In this paper, we explore the mechanism of managing red cultural resources enabled by digital technology. We developed a digital communication model for red...

Digital Innovation of Red Cultural Resource Management Mode in Shanxi

Publié en ligne: 07 juin 2024

Pages: -

Reçu: 20 févr. 2024

Accepté: 05 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1400

Mots clés
Regression analysis, Significance test, Correlation test, Model estimation, Red culture

© 2024 Chang Sun, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Digital Innovation of Red Cultural Resource Management Mode in Shanxi

Publié en ligne: 07 juin 2024

Pages: -

Reçu: 20 févr. 2024

Accepté: 05 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1400

Mots clésRegression analysis, Significance test, Correlation test, Model estimation, Red culture

© 2024 Chang Sun, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Regression analysis, Significance test, Correlation test, Model estimation, Red culture