›› 2019, Vol. 31 ›› Issue (7): 186-198.

• 案例研究 • 上一篇    下一篇

商业模式采纳与融合:“人工智能+”赋能下的零售企业多案例研究

王砚羽1, 苏欣1, 谢伟2   

  1. 1. 北京邮电大学经济管理学院, 北京 100876;
    2. 清华大学经济管理学院, 北京 100084
  • 收稿日期:2018-08-03 出版日期:2019-07-28 发布日期:2019-07-28
  • 通讯作者: 谢伟(通讯作者),清华大学经济管理学院教授,博士生导师,博士。
  • 作者简介:王砚羽,北京邮电大学经济管理学院讲师,硕士生导师,博士;苏欣,北京邮电大学经济管理学院博士后,博士。
  • 基金资助:

    国家自然科学基金青年项目(71802026);国家自然科学基金面上项目(71672096);北京市社会科学基金项目(18GLC077)。

Adoption and Integration of Business Model in Retail Industry Empowered with “Artificial Intelligence +”——A Mult-case Study

Wang Yanyu1, Su Xin1, Xie Wei2   

  1. 1. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876;
    2. School of Economics and Management, Tsinghua University, Beijing 100084
  • Received:2018-08-03 Online:2019-07-28 Published:2019-07-28

摘要:

本文以零售企业人工智能赋能下的商业模式为研究对象,探讨了"人工智能+"商业模式采纳的驱动要素以及采纳后产生的融合与冲突。通过分析和对比三家不同技术嵌入模式(外包、合作、自建)的零售企业人工智能商业模式,得出以下结论:(1)企业"人工智能+"商业模式的采纳受到内外因素共同的驱动作用,内部因素包括组织管理因素(企业管理者的推动、专门IT研发部门的设立、知识员工离职带给企业的风险)和充分的数据准备;外部因素包括新零售对企业的冲击、人工智能本身的系统效能、以及市场上其他企业采纳后的扩散和传播。(2)采纳人工智能商业模式之后,企业将会面临着来自组织和员工的阻力、项目交付阶段的信任危机。同时本文识别出了两种外部知识管理模式,探索型知识管理和应用型知识管理。最后本文总结了研究结论及在实践中的启示,并扩展讨论了其他行业人工智能商业模式采纳和融合的特征。

关键词: 人工智能, 商业模式, 零售业, 多案例研究

Abstract:

This paper takes the business model empowered with artificial intelligence in retail industry as the research object, and discusses the driving factors of the adoption of"artificial intelligence +" business model innovation and the integration and conflicts after adoption. By comparing and analyzing three retail enterprises with different technology development methods, we come to the following conclusions:(1) The adoption of "artificial intelligence+" business model of enterprises is driven by internal and external factors, internal factors refer to organizational management factors (the promotion of managers, the establishment of IT R&D department, the risk aversion brought by artificial intelligence) and the accumulation of data; external factors include the impact of new retail on traditional enterprise, the system performance of artificial intelligence, the spread and diffusion of new technology and knowledge. (2) After adopting the business model of artificial intelligence, enterprises will face the crisis from the organization, employees and the complementation of project. At the same time, this paper identifies two external knowledge management modes, that is, exploratory knowledge management and applicable knowledge management. Based on the above conclusions, this paper further discusses the inspiration and prospects in future research.

Key words: artificial intelligence, business model, retail industry, multiple case study