AIGC赋能非遗年画电商内容营销的价值转化机制研究——以汉吉福年画为例
A Study on the Value Transformation Mechanism of AIGC-Empowered E-Commerce Content Marketing for Intangible Cultural Heritage New Year Paintings—A Case Study of Hanjifu New Year Paintings
摘要: 生成式人工智能(AIGC)的兴起,为非遗商品的数字传播与商业转化提供了新的技术条件。以汉吉福年画为例,结合S-O-R理论与价值共创理论,考察AIGC介入非遗年画电商内容营销的价值转化机制。研究发现,非遗年画进入内容电商后,并不缺少文化资源,难点在于文化表达、平台扩散、用户认同与消费转化之间存在多重断点。AIGC在内容转译、场景扩散、情感激活、消费引导和品牌沉淀等环节发挥了连接作用,推动非遗年画由传统工艺资源向数字内容资产、用户认同和商业结果延展。本文从价值转化角度解释AIGC赋能非遗商品营销的作用路径,也为非遗经营主体的数字化转型提供参考。
Abstract: The rise of generative artificial intelligence (AIGC) has created new technological conditions for the digital dissemination and commercial transformation of intangible cultural heritage (ICH) products. Taking Hanjifu New Year paintings as a case study, and drawing on the S-O-R theory and value co-creation theory, this paper investigates the value transformation mechanism through which AIGC intervenes in the e-commerce content marketing of ICH New Year paintings. The findings reveal that while ICH New Year paintings entering the content e-commerce space are not lacking in cultural resources, the primary challenges lie in multiple disconnections among cultural expression, platform diffusion, user identification, and consumption conversion. AIGC plays a connecting role in content translation, scenario diffusion, emotional activation, consumption guidance, and brand accumulation, thereby facilitating the extension of ICH New Year paintings from traditional craft resources toward digital content assets, user identification, and commercial outcomes. This paper elucidates the pathway of AIGC-enabled marketing for ICH products from a value transformation perspective and provides insights for the digital transformation of ICH business entities.
文章引用:朱媛. AIGC赋能非遗年画电商内容营销的价值转化机制研究——以汉吉福年画为例[J]. 电子商务评论, 2026, 15(9): 490-496. https://doi.org/10.12677/ecl.2026.1591024

参考文献

[1] 梁家秀. 非物质文化遗产网络传播策略研究[N]. 山西科技报, 2025-09-11(A05).
[2] 安晓颖. 社交媒体视域下安徽省非物质文化遗产数字化传承与创新发展研究[J]. 文物鉴定与鉴赏, 2025(16): 164-167.
[3] 许金编. AIGC背景下非遗文创产品的数字化转型与电商营销策略研究[J]. 中国商论, 2025, 34(20): 74-77.
[4] 李永皇, 马鑫一. 人工智能驱动非物质文化遗产数字化保护的现实困境与实践路径[J]. 云南师范大学学报(哲学社会科学版), 2026, 58(1): 90-96.
[5] Mehrabian, A. and Russell, J.A. (1974) An Approach to Environmental Psychology. MIT Press.
[6] Prahalad, C.K. and Ramaswamy, V. (2004) Co-Creation Experiences: The Next Practice in Value Creation. Journal of Interactive Marketing, 18, 5-14.
https://doi.org/10.1002/dir.20015
[7] 赵展, 田湘文, 魏一鸣. 基于AISAS模型的皮影营销研究——以京西非遗皮影园为例[J]. 玩具世界, 2023(6): 170-172.
[8] 文杨. 基于社交电商的传统文化IP活化路径研究——以苗银文创产品为例[J]. 电子商务评论, 2025, 14(9): 1769-1775.
[9] 汉吉福门神贴金画入藏湖北省博物馆[EB/OL].
https://www.news.cn/ci/20250620/5fe79b22cef1408bba8702a0f36db8c7/c.html, 2025-06-20.
[10] 传统非遗嫁接现代科技“汉吉福”年画借AI与IP走向海外市场[EB/OL].
http://hb.news.cn/20250909/7979e8a8ed8b4bcbbbb0908f3536931f/c.html, 2025-09-09.
[11] 全小国. 非遗IP的理论内涵、基本要素与应用策略[J]. 民族艺术研究, 2025, 38(4): 87-95.
[12] Nonaka, I. and Takeuchi, H. (1995) The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press.
[13] 张宏伟. 超越数字场域: 新媒体赋能非遗保护理念创新与路径适配[J]. 西南民族大学学报(人文社会科学版), 2025, 46(12): 38-47.
[14] 菲利普∙科特勒, 凯文∙莱恩∙凯勒, 亚历山大∙切涅夫. 营销管理[M]. 第16版. 上海: 格致出版社, 2019.
[15] 中国信息通信研究院. 人工智能生成内容(AIGC)白皮书(2022年) [R]. 北京: 中国信息通信研究院, 2022.
[16] Davenport, T., Guha, A., Grewal, D. and Bressgott, T. (2020) How Artificial Intelligence Will Change the Future of Marketing. Journal of the Academy of Marketing Science, 48, 24-42.
https://doi.org/10.1007/s11747-019-00696-0
[17] 徐望. AIGC赋能非物质文化遗产传播路径的研究[J]. 传播与版权, 2025(17): 79-81, 85.
[18] Keller, K.L. (1993) Conceptualizing, Measuring, and Managing Customer-Based Brand Equity. Journal of Marketing, 57, 1-22.
https://doi.org/10.1177/002224299305700101
[19] Yin, R.K. (2018) Case Study Research and Applications: Design and Methods. 6th Edition, Sage Publications.