人工智能技术扩散对电商产业的影响研究
Research on the Impact of Artificial Intelligence Technology Diffusion on E-Commerce Ecology
DOI: 10.12677/ecl.2025.1441015, PDF,    科研立项经费支持
作者: 张千禧:江苏大学科技信息研究所,江苏 镇江
关键词: 人工智能技术扩散电商产业Artificial Intelligence Technology Diffusion Ecommerce Industry
摘要: 现代化信息技术的快速发展催生各行各业的经营业态发生变革。随着人工智能(AI)技术的涌现,传统电商也发生了根本性的变化,从传统的网购到AI电商,AI导购、智能选品、智能客服、AI数字人等智能服务在电商行业中迅速普及。技术的发展和快速扩散对电商产业产生了深远影响,但其具体的影响机制还未得到充分研究。本文利用IncoPat专利数据库检索人工智能技术在电商领域中申请的相关专利,通过专利计量和技术主题识别,探究人工智能技术扩散对电商产业的影响。研究结果揭示了人工智能技术在电商领域的扩散趋势及其对平台、商家和消费者的影响,为电商行业的智能化转型提供了相关启示。
Abstract: The rapid development of modern information technology has given rise to changes in the business formats of all walks of life. With the emergence of artificial intelligence (AI) technology, traditional e-commerce has also undergone fundamental changes, from traditional online shopping to AI e-commerce, AI shopping guide, intelligent product selection, intelligent customer service, AI digital human and other intelligent services have rapidly become popular in the e-commerce industry. The development and rapid diffusion of technology have had a profound impact on the e-commerce industry, but its specific impact mechanism has not been fully studied. This paper uses the IncoPat patent database to search for relevant patents applied for by artificial intelligence technology in the field of e-commerce, and explores the impact of artificial technology diffusion on the e-commerce industry through patent measurement and technical subject identification. The research results reveal the diffusion trend of artificial intelligence technology in the field of e-commerce and its impact on platforms, merchants and consumers, and provide relevant enlightenment for the intelligent transformation of the e-commerce industry.
文章引用:张千禧. 人工智能技术扩散对电商产业的影响研究[J]. 电子商务评论, 2025, 14(4): 1322-1330. https://doi.org/10.12677/ecl.2025.1441015

参考文献

[1] Blinder, A.S., Gordon, R.H. and Wise, D.E. (1983) Social Security, Bequests and the Life Cycle Theory of Saving: Cross-Sectional Tests. In: Modigliani, F. and Hemming, R., Eds., The Determinants of National Saving and Wealth, Palgrave Macmillan, 89-122. [Google Scholar] [CrossRef
[2] 滕瑛. 基于技术扩散理论的区块链供应链金融共识机制及决策研究[D]: [硕士学位论文]. 南京: 南京工业大学, 2024.
[3] 刘茂长, 鞠晓峰. 基于TOE模型的电子商务技术扩散影响因素研究[J]. 信息系统学报, 2012(2): 13-30.
[4] 王强, 张嵩. 电子商务技术扩散水平影响因素实证研究——基于资源和制度视角[J]. 青岛大学学报(自然科学版), 2011, 24(2): 64-71.
[5] 刘振滨, 刘蕾. 社会网络视角下农村电子商务技术扩散研究[J]. 中国经贸导刊(中), 2019(5): 72-75.
[6] 王宁宁. 大数据与人工智能在电商运营模式中的应用及影响[J]. 商业经济研究, 2025(2): 38-41.
[7] 孙克, 鲁泽霖. 人工智能在电子商务中的应用发展趋势研究[J]. 贵州社会科学, 2019(9): 136-143.
[8] 杨妮. 大数据时代人工智能在电子商务领域的应用研究[J]. 营销界, 2024(16): 56-58.
[9] 张炫, 蒋良骏, 焦世奇. 人工智能对电子商务人才的影响[J]. 现代企业, 2020(5): 129-130.
[10] 蒋良骏, 张炫, 闫铭, 等. 人工智能时代高职电子商务专业人才培养——基于就业岗位的视角[J]. 河北职业教育, 2020, 4(3): 40-43.
[11] 王亚芬, 石艾鑫. 人工智能背景下民办院校电子商务人才培养方案的研究[J]. 今日财富, 2020(9): 33-34.
[12] 杨晓茜. 人工智能技术对电子商务领域的影响探究[J]. 无线互联科技, 2024, 21(7): 101-103.
[13] Narin, F. (1994) Patent Bibliometrics. Scientometrics, 30, 147-155. [Google Scholar] [CrossRef
[14] Iversen, E.J. (2000) An Excursion into the Patent-Bibliometrics of Norwegian Patenting. Scientometrics, 49, 63-80. [Google Scholar] [CrossRef
[15] Blei, D.M., et al. (2003) Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, 993-1022.
[16] 王芳, 徐路路. 基于智能化公文主题分析的我国政策层级扩散倾向性研究[J]. 情报学报, 2021, 40(4): 387-401.
[17] 方曙, 胡正银, 庞弘燊, 等. 基于专利文献的技术演化分析方法研究[J]. 图书情报工作, 2011, 55(22): 42-46.