基于SWOT-CLPV矩阵模型的体育非物质文化遗产数字化传播研究
A Study on the Digital Dissemination of Sports Intangible Cultural Heritage Based on the SWOT-CLPV Matrix Model
李真鹏 1周锦锐 2邱海洪1
作者信息
- 1. 衡阳师范学院体育科学学院,湖南 衡阳 421002
- 2. 南通大学体育科学学院,江苏南通 226019
- 折叠
摘要
随着国家一系列有关体育非物质文化遗产保护政策的出台,体育非物质文化遗产的重要地位逐渐彰显.在现如今的数字信息大爆炸时代,有必要利用数字媒体积极传播富含深刻意义的体育非物质文化遗产的相关信息,以便让更多人了解.本文主要采用文献资料法和逻辑分析法,利用SWOT-CLPV矩阵模型对体育非物质文化遗产数字化传播的优势、劣势、机遇和挑战进行分析,并在深入研究其杠杆效应、抑制性、脆弱性和问题性的基础上提出促进体育非物质文化遗产数字化有效传播的优化路径,即:推进体育非遗+数字化传播新模式,提升数字化传播效率;大力培养体育科技复合型人才,以文旅为依托吸引更多受众参与;建立标准化的数字影像信息库,传递体育非遗的正向能量;转变传播观念及采用多元数字化形式,凝聚文化认同感..
Abstract
With the implementation of a series of national policies addressing the protection of intangible cultural heritage in sports,the significant role of sports intangible cultural heritage has become increasingly evident.In the current era of digital information explosion,it is imperative to actively utilize digital media to disseminate information about sports intangible cultural heritage,which carries profound meaning,in order to reach a wider audience.This study employs literature review and logical analysis methods,utilizing the SWOT-CLPV matrix model to analyze the strengths,weaknesses,opportunities,and challenges of digitally disseminating sports intangible cultural heritage.Through an in-depth exploration of leverage,inhibitory factors,fragility,and issues,the paper proposes an optimized approach to enhance the effective digital dissemination of sports intangible cultural heritage.This includes advancing a novel model that integrates sports intangible cultural heritage with digital communication to improve efficiency,fostering talents with expertise in sports technology,establishing a standardized digital image information repository to convey the positive energy of sports intangible heritage,and transforming communication concepts through diverse digital forms to build cultural identity.
关键词
SWOT-CLPV矩阵模型/体育非物质文化遗产/数字化传播Key words
swot-clpv matrix model/sports intangible cultural heritage/digital dissemination引用本文复制引用
基金项目
湖南省教育厅科学研究重点项目(2023)(23A0522)
出版年
2024
NETL
NSTL
万方数据