人工智能驱动电商企业创新机制探究
Exploring the Innovation Mechanism of E-Commerce Enterprises Driven by Artificial Intelligence
摘要: 随着社会的发展,人工智能(AI)技术被广泛应用于各个行业,为各行业的繁荣提供了助力。在这一社会背景下,电商企业迎来了新的发展机遇。人工智能和大数据改变了消费者的消费习惯,能够更好地满足消费者的消费需求。电商企业应该用前瞻性的眼光看待人工智能带来的影响,避免被时代淘汰。电商企业需要合理利用人工智能技术,不断创新发展机制,为企业发展提供新的动力支持。基于此,本文主要从用户体验、运营效率、创新发展3个方面介绍了人工智能对电商运营模式的影响,同时重点分析了人工智能驱动电商企业创新机制的路径,从多方位和多角度分析了电商企业在人工智能背景下应何如有效进行机制创新。最后,文章通过列举:亚马逊–全链条AI应用的平台型创新模式、京东–技术架构引领的全场景创新、法国奢侈品电商-AI与美学融合的高端创新路径,通过实例来分析了人工智能背景下电商企业的创新机制,以此来为更多的电商企业提供借鉴。
Abstract: With the advancement of society, artificial intelligence (AI) technology has been widely applied across various industries, contributing to their prosperity. Against this backdrop, e-commerce enterprises have embraced new development opportunities. AI and big data have transformed consumer behavior, enabling better alignment with their demands. E-commerce businesses should adopt a forward-looking perspective to assess the impact of AI, avoiding obsolescence. They must leverage AI technology prudently, continuously innovate development mechanisms, and provide fresh momentum for corporate growth. Based on this, this paper primarily explores the impact of artificial intelligence on e-commerce operational models from three dimensions: user experience, operational efficiency, and innovation development. It further focuses on analyzing the pathways through which AI drives innovation mechanisms in e-commerce enterprises, providing a comprehensive and multi-faceted examination of how e-commerce businesses can effectively innovate their mechanisms in the context of artificial intelligence. Finally, the article analyzes the innovation mechanisms of e-commerce enterprises in the context of artificial intelligence by citing examples: Amazon’s platform-based innovation model for end-to-end AI applications, JD.com’s innovation across all scenarios led by technical architecture, and the high-end innovation path of French luxury e-commerce integrating AI with aesthetics, thereby providing insights for more e-commerce enterprises.
参考文献
|
[1]
|
顾羽桐. 数字经济背景下电商企业与物流企业协同发展研究[J]. 商场现代化, 2025(20): 25-27.
|
|
[2]
|
闵瑞, 杭俊. 电商企业财务管理的融合创新实践——基于大数据与人工智能应用的视角[J]. 山西财经大学学报, 2025, 47(S2): 171-173.
|
|
[3]
|
李姗姗. 人工智能对跨境电商企业营销策略的影响研究[J]. 中国管理信息化, 2025, 28(19): 132-135.
|
|
[4]
|
唐莉琼, 赵军辉. 人工智能时代电子商务的精准营销思考[N]. 黑龙江日报, 2025-09-30(008).
|
|
[5]
|
关大卫, 邢纪阳. 大数据技术应用对电商企业成长性的影响[J]. 商业经济研究, 2025(17): 164-167.
|
|
[6]
|
刘备, 邱兆轩, 任保平. 人工智能与企业高质量发展: 来自国家新一代人工智能创新发展试验区的经验证据[J]. 中国软科学, 2025(6): 166-176.
|
|
[7]
|
卜谊榕. 双重视角下人工智能驱动先进制造业高质量发展研究[J]. 人文与社会科学学刊, 2025, 4(1): 212-215.
|
|
[8]
|
刘佳琪, 孙浦阳. 数字产品进口如何有效促进企业创新——基于中国微观企业的经验分析[J]. 复印报刊资料: 国际贸易研究, 2022(8): 38-53.
|
|
[9]
|
翁赟赟. 人工智能应用对企业新质生产力的影响研究——创新能力的中介作用[J]. 电子商务评论, 2025, 14(8): 10.
|
|
[10]
|
农丽燕. 生成式人工智能技术赋能跨境电商发展的机制研究[J]. 产业创新研究, 2025(13): 52-54.
|
|
[11]
|
吴沁沁, 周代数. 人工智能技术创新对企业新质生产力的赋能效应研究[J]. 新疆社会科学(汉文版), 2025(1): 43-57+187.
|
|
[12]
|
杜芳娟, 程南洋. 人工智能驱动新质生产力的效应与机制研究[J]. 生产力研究, 2025(7): 91-97.
|