| Issue |
SHS Web Conf.
Volume 170, 2023
2023 International Conference on Digital Economy and Management Science (CDEMS 2023)
|
|
|---|---|---|
| Article Number | 01025 | |
| Number of page(s) | 9 | |
| Section | Artificial Intelligence and Digital Economy | |
| DOI | https://doi.org/10.1051/shsconf/202317001025 | |
| Published online | 14 June 2023 | |
Study on Digitization Level Evaluation of local Chronicles in Sichuan Province
1 Chengdu University of Information Technology Supply Chain and Information Management Department, Chengdu, Sichuan, China
2 Xinjiang University of Finance and Economics Management Science and Engineering department, Urumqi, Xinjiang, China
a Email: 1782369282@qq.com
b 3035328391@qq.com
c 2830284603@qq.com
d 1834135361@qq.com
Local chronicles, as documents to record the history, culture, politics and other aspects of all parts of our country, have always been the cultural heritage of the Chinese nation, and have guiding significance for our country to continuously carry out the in-depth development of all parts. With the continuous advancement of the information age, the information and digital development of local chronicles has become an inevitable trend. However, the digitalization level of local chronicles across the country is uneven, and there is no set of quantitative standards to measure the degree of digitization development of local chronicles, which makes the process of digitization of local chronicles slow. Based on the national requirements for the digitized process of local chronicles since the 14th Five-Year Plan, this paper establishes an index system for the digitalization level evaluation of local chronicles in Sichuan province. According to the index evaluation system, the fuzzy comprehensive analysis method is used to comprehensively evaluate the digitalization level of Sichuan local chronicles. Finally, according to the evaluation results, this paper puts forward some practical and developmental suggestions.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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