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中国管理科学 ›› 2025, Vol. 33 ›› Issue (1): 111-123.doi: 10.16381/j.cnki.issn1003-207x.2024.1913cstr: 32146.14.j.cnki.issn1003-207x.2024.1913

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人工智能驱动下的营销变革

石峰1,2, 杨扬3,4, 袁韵2,5, 贾建民2,4,6()   

  1. 1.西南交通大学经济管理学院,四川 成都 610031
    2.深圳市人工智能与机器人研究院,广东 深圳 518129
    3.深圳市社会科学院,广东 深圳 518028
    4.香港中文大学(深圳)经管学院,广东 深圳 518172
    5.清华大学经济管理学院,北京 100084
    6.香港中文大学(深圳)高等金融研究院,广东 深圳 518038
  • 收稿日期:2024-10-24 修回日期:2024-11-14 出版日期:2025-01-25 发布日期:2025-02-14
  • 通讯作者: 贾建民 E-mail:jmjia@cuhk.edu.cn
  • 基金资助:
    国家自然科学基金项目(72332004)

Marketing Transformation in the Age of Artificial Intelligence

Feng Shi1,2, Yang Yang3,4, Yun Yuan2,5, Jianmin Jia2,4,6()   

  1. 1.School of Economics and Management,Southwest Jiaotong University,Chengdu 610031,China
    2.Shenzhen Institute of Artificial Intelligence and Robotics for Society,Shenzhen 518129,China
    3.Shenzhen Academy of Social Sciences,Shenzhen 518028,China
    4.School of Management and Economics,The Chinese University of Hong Kong (Shenzhen),Shenzhen 518172,China
    5.School of Economics and Management,Tsinghua University,Beijing 100084,China
    6.Shenzhen Finance Institute,Shenzhen 518038,China
  • Received:2024-10-24 Revised:2024-11-14 Online:2025-01-25 Published:2025-02-14
  • Contact: Jianmin Jia E-mail:jmjia@cuhk.edu.cn

摘要:

人工智能(AI)的迅猛发展,催生了企业新的实践和营销模式,改变了企业与消费者的互动方式,使得营销科学的理论和实践经历着一场颠覆性变革。为了揭示人工智能驱动下的营销变革,本文基于近年来AI与营销科学等交叉领域的代表性文献,首先划分出AI与营销领域结合的萌芽、发展和深化等渐进式三阶段;然后提出了“AI认知—AI赋能—AI互动—AI集成”的理论分析框架,最后结合该框架展望了未来研究方向,包括构建更具解释力的AI采纳模型,开发公平的AI定价算法,探索AI互动中的消费者心理机制,和设计有效的人机协作管理机制等,以期推动人工智能和营销交叉领域的理论发展和实践应用。

关键词: 人工智能, 技术接纳, 客户旅程, 4P赋能, 营销变革

Abstract:

The rapid development of artificial intelligence (AI) has catalyzed new corporate practices and marketing models, transforming the way companies interact with consumers and revolutionizing the theory and practice of marketing science. To reveal the full picture of this transformation, the gradual three-stage process of AI-driven marketing transformation is reviewed and mapped out, spanning from its emergence and development to its deepening, based on representative literature in the interdisciplinary field of AI and marketing science in recent years. A theoretical analysis framework of "AI Cognition—AI Empowerment—AI Interaction—AI Integration" is then proposed. Finally, combined with this framework, future research directions are outlined, including constructing more explanatory AI adoption models, developing fair AI pricing algorithms, exploring the psychological mechanisms of consumers in AI interactions, and designing effective human-machine collaborative management mechanisms, with the aim of promoting theoretical development and practical applications in the interdisciplinary field of artificial intelligence and marketing.

Key words: artificial intelligence, technology acceptance, customer journey, 4P empowerment, marketing transformation

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