DeepSeek驱动传统文化电商转型的风险机理与治理路径研究
Research on the Risk Mechanisms and Governance Pathways of DeepSeek-Driven Transformation in Traditional Cultural E-Commerce
摘要: 在国潮消费兴起与生成式人工智能技术普及的双重背景下,DeepSeek等大语言模型正重塑传统文化产品的电商价值链。本文基于平台经济学的双边市场理论,结合创新扩散理论与算法伦理框架,系统分析DeepSeek在非遗产品电商、传统工艺线上营销等场景中的应用现状,识别出算法偏见导致的文化市场失灵、数据垄断引发的双边权力失衡、技术依赖造成的产业生态锁定三类核心风险。研究发现,风险根源在于AI的效率导向与传统文化电商的文化价值导向、平台的双边定价逻辑与商户差异化竞争需求之间的结构性冲突。据此,本文构建“政府监管引领–平台主体负责–行业自律规范–技术工具赋能–社会监督补充”五维协同治理框架,并提出“文化适配性算法”理论命题,为人工智能赋能传统文化电商高质量发展提供理论支撑与实践路径。
Abstract: Against the dual backdrop of rising Guochao consumption trends and the proliferation of generative artificial intelligence technologies, large language models like DeepSeek are fundamentally reshaping the e-commerce value chain for traditional cultural products. Grounded in the two-sided market theory of platform economics, and integrating innovation diffusion theory with algorithmic ethics frameworks, this paper systematically analyzes the current application of DeepSeek in scenarios such as e-commerce of intangible cultural heritage products and online marketing of traditional crafts, identifying three core risks: cultural market failure arising from algorithmic bias, bilateral power imbalance triggered by data monopoly, and industrial ecosystem lock-in resulting from technological dependency. This study reveals that the root causes of these risks lie in the structural conflicts between the efficiency-oriented nature of AI and the cultural-value orientation of traditional cultural e-commerce, as well as between the platform’s two-sided pricing logic and merchants’ need for differentiated competition. Accordingly, this paper constructs a five-dimensional collaborative governance framework of “government supervision as the guide, platform accountability as the core, industry self-regulation as the norm, technological tools as enablers, and social oversight as the supplement”, and proposes the theoretical proposition of “culturally adaptive algorithms”. This provides both a theoretical foundation and practical pathways for achieving high-quality development in traditional cultural e-commerce empowered by artificial intelligence.
参考文献
|
[1]
|
抖音电商. “非遗融入现代生活”专题报告[R]. 北京: 抖音电商研究院, 2025.
|
|
[2]
|
Rochet, J. and Tirole, J. (2006) Two-Sided Markets: A Progress Report. RAND Journal of Economics, 37, 645-667. [Google Scholar] [CrossRef]
|
|
[3]
|
Katz, M.L. and Shapiro, C. (1985) Network Externalities, Competition, and Compatibility. American Economic Review, 75, 424-440.
|
|
[4]
|
Rogers, E.M. (2003) Diffusion of Innovations. Free Press.
|
|
[5]
|
Floridi, L. and Chiriatti, M. (2020) GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30, 681-694. [Google Scholar] [CrossRef]
|
|
[6]
|
江小涓, 孟丽君. 数字技术赋能文化产业创新的机制与路径[J]. 中国社会科学, 2023, 44(2): 67-85.
|
|
[7]
|
蔡跃洲, 马文君. 人工智能驱动的产业数字化转型机制研究[J]. 数量经济技术经济研究, 2023, 40(6): 45-63.
|
|
[8]
|
Parker, G., Van Alstyne, M. and Jiang, X. (2023) Platform Ecosystems: How Developers Invert the Firm. MIS Quarterly, 47, 23-45.
|
|
[9]
|
吕铁, 李萌. 人工智能与传统产业融合发展的政策体系研究[J]. 中国软科学, 2023, 38(4): 23-35.
|
|
[10]
|
Goldfarb, A. and Tucker, C. (2023) Digital Economics. Journal of Economic Literature, 61, 78-96.
|
|
[11]
|
杜创, 王珏. 平台竞争、数据垄断与反垄断政策[J]. 经济学(季刊), 2023, 22(3): 89-106.
|
|
[12]
|
OECD (2023) Artificial Intelligence in Society. OECD Publishing.
|