以人工智能驱动的瑞幸咖啡商业模式画布分析
AI-Driven Canvas Analysis of Luckin Coffee’s Business Model
摘要: 我国已全面步入数字经济的新纪元,以人工智能等为核心特征的数字经济正逐渐融入国民生活的每一个角落,并在推动国民经济实现优质转型、促进产业结构的升级换代、加速实体经济的复苏与崛起中发挥着关键作用。本研究聚焦于瑞幸咖啡,通过综合分析国内外相关研究成果,描绘数字经济背景下由人工智能推动的瑞幸咖啡商业模式创新路径,并借助商业模式画布这一工具进行分析。进一步体现瑞幸咖啡现有商业模式用户黏性不高、同质化严重、财务风险加剧的问题,从而提出持续建设数字化运营管理体系增强用户粘性、本地创新、社区深耕、数值赋能三维驱动改善产品同质化、完善数据治理机制,积极巩固“信任基石”等优化对策。旨在为数字经济下企业如何利用人工智能进行商业模式创新提供理论和实践指导,同时为其他互联网新零售企业的可持续发展提供借鉴。
Abstract: China has fully entered a new era of digital economy, with artificial intelligence as the core feature of the digital economy is gradually integrated into every corner of national life, and plays a key role in promoting the high-quality transformation of the national economy, promoting the upgrading of the industrial structure, and accelerating the recovery and rise of the real economy. This study focuses on Luckin Coffee, and through a comprehensive analysis of relevant research results at home and abroad, it depicts the business model innovation path of Luckin Coffee driven by artificial intelligence in the context of digital economy, and analyzes it with the help of the business model canvas. It further reflects the problems of low user stickiness, serious homogeneity and aggravated financial risk of the existing business model of Luckin Coffee, so as to continuously build a digital operation management system to enhance user stickiness, local innovation, community deep cultivation, numerical empowerment three-dimensional drive to improve product homogeneity, improve the data governance mechanism, and actively consolidate the “foundation of trust” and other optimization countermeasures. It aims to provide theoretical and practical guidance for enterprises to use artificial intelligence for business model innovation in the digital economy, and at the same time provide a reference for the sustainable development of other Internet new retail enterprises.
参考文献
|
[1]
|
Teece, D.J. (2012) Next-Generation Competition: New Concepts for Understanding How Innovation Shapes Competition and Policy in the Digital Economy. Journal of Law Economics and Policy, 9, 97-118.
|
|
[2]
|
Haenlein, M. and Kaplan, A. (2019) A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61, 5-14. [Google Scholar] [CrossRef]
|
|
[3]
|
宋杰. 人工智能推动新零售商业模式的变革与创新[J]. 数字经济, 2023(11): 50-55.
|
|
[4]
|
Shankar, V. (2018) How Artificial Intelligence (AI) Is Reshaping Retailing. Journal of Retailing, 94, vi-xi. [Google Scholar] [CrossRef]
|
|
[5]
|
郭漫勤, 师佳英. 人工智能价值网络下零售企业商业模式创新与企业效益相关性分析[J]. 商业经济研究, 2021(12): 117-121.
|
|
[6]
|
贾冬琴, 柯平. 面向数学素养的高校图书馆数字服务系统研究[C]//中国图书馆学会. 中国图书馆学会年会论文集: 2011年卷. 北京: 国家图书馆出版社, 2011: 45-52.
|
|
[7]
|
辛永澄, 李明翰. 基于商业模式画布的百果园运营模式分析[J]. 经营与管理, 2024(2): 40-45.
|
|
[8]
|
赵雷. 浅析新零售商业模式下涉税风险——以瑞幸咖啡为例[J]. 现代商业, 2024(16): 177-180.
|