科技管理创新

如何成为数字创新生态系统领导者——一个共演模型

  • 施锦诚 ,
  • 刘昱涵 ,
  • 王迎春
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  • (1.上海人工智能实验室 治理研究中心,上海 200232;2.哥伦比亚大学 魏德海东亚研究所,纽约 10027)
施锦诚(1995—),男,安徽六安人,博士,上海人工智能实验室治理研究中心助理研究员,研究方向为人工智能创新与治理;刘昱涵(1999—),男,四川南充人,哥伦比亚大学魏德海东亚研究所硕士研究生,研究方向为人工智能治理、平台经济;王迎春(1983—),男,山东德州人,博士,上海人工智能实验室治理研究中心副主任、研究员,研究方向为人工智能创新与治理战略、大模型安全与价值对齐。本文通讯作者:施锦诚。

收稿日期: 2023-10-11

  修回日期: 2024-01-04

  网络出版日期: 2025-02-10

基金资助

新一代人工智能国家科技重大专项(2022ZD0116205);中国博士后科学基金面上项目(2022M721742);上海市“科技创新行动计划”软科学项目(23692105600)

How to Become A Leader in the Digital Innovation Ecosystem: A Co-Evolution Model

  • Shi Jincheng ,
  • Liu Yuhan ,
  • Wang Yingchun
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  • (1.AI Governance Research Center, Shanghai AI Lab, Shanghai 200232, China;2.Weatherhead East Asian Institute, Columbia University, New York 10027, US)

Received date: 2023-10-11

  Revised date: 2024-01-04

  Online published: 2025-02-10

摘要

以生态领导者为核心的数字创新生态系统正加速形成,然而已有研究未对数字创新生态系统领导者角色形成过程和影响机制进行深入讨论。通过构建“环境感知—系统变革—角色跃迁”共演模型,探究英伟达1993—2023年从芯片市场探索者起步,到实现赶超成为产业链龙头,再到引领技术和市场的数字创新生态领导者角色形成过程。研究发现:①在跟随追赶阶段,英伟达通过组织聚焦策略推出自主式芯片架构设计,深化对外合作,成为行业探索者;②在追赶超越阶段,英伟达通过组织扩张策略推出开放式架构设计,聚焦行业前瞻布局,试水潜力市场,实现产业链龙头角色跃迁;③在发展引领阶段,英伟达通过组织生态策略、面向人工智能的生态式架构设计,满足生态伙伴需求,自主定义市场,成为数字创新生态系统领导者。构建数字创新生态系统领导者角色形成共演模型,识别出架构设计和场景驱动创新的“订单式、杠杆式、赋能式”3类协同机制,有助于深化数字创新生态系统角色形成理论研究,并为推动建设国产自主引领的数字创新生态提供有益借鉴。

本文引用格式

施锦诚 , 刘昱涵 , 王迎春 . 如何成为数字创新生态系统领导者——一个共演模型[J]. 科技进步与对策, 2025 , 42(3) : 1 -13 . DOI: 10.6049/kjjbydc.2023100277

Abstract

In recent years, some leading companies in China have been dedicated to building a domestic digital innovation ecosystem, striving to overcome the risks of decoupling and disconnection. Although they have made a series of breakthroughs in key technologies, they still face significant challenges in building an independent and leading digital innovation ecosystem. There are considerable gaps in technology strength, market space, and rules and standards compared with the powerful digital innovation ecosystems represented by international technology giants such as NVIDIA, Google, and Microsoft. These leading companies are at the core of the digital innovation ecosystem, and their growth process is closely related to the development of the digital innovation ecosystem. By focusing on international technology giants, exploring and revealing the formation process and micro-mechanisms of their digital innovation ecosystem leaders, it is of great significance for developing and strengthening domestic digital enterprises and building a domestic digital innovation ecosystem.
The existing literature has systematically analyzed various roles in the ecosystem, including those of leaders (or coordinators) and complementors. Despite significant progress in related research, most of these studies assume that the role of ecosystem leaders remains unchanged. In reality, most digital innovation ecosystem leaders undergo complex growth processes before becoming core leaders. However, there is still a lack of theoretical elucidation on the formation process and micro-mechanisms of ecosystem leaders.
Given the above theoretical background and practical context, this paper explores the role formation process and micro-mechanisms of digital innovation ecosystem leaders from a co-evolution perspective. The aim of this paper is to address three key questions: How can digital enterprises become digital innovation ecosystem leaders? How do collaborative mechanisms for architecture design and context-driven innovation drive organizational role transitions? What are the insights for building a domestically led digital innovation ecosystem for Chinese digital enterprises facing ecological construction challenges? Specifically, using NVIDIA as a case study, this paper summarizes and refines general rules for the formation of the digital innovation ecosystem leader role according to its 1993-2023 development history in the digital innovation ecosystem, and further analyzes the collaborative mechanisms for architecture design and scenario-driven innovation.
Firstly, the paper conducts theoretical analysis based on longitudinal case studies. Secondly, it integrates patent technology network analysis into the case study, using quantitative analysis to support the findings of the case study to ensure the rigor and scientificity of the research. Thirdly, the paper incorporates event analysis into the case study approach by conducting a detailed analysis of the development process of the case object to identify 125 key events. It is found that (1) in the following and catching-up stage, through organizational focus strategy and the introduction of self-developed chip architecture designs, NVIDIA deepened external cooperation and linked with industry giants to support the enterprise to become an industry explorer; (2) in the catching-up and surpassing stage, it focused on the forward-looking layout of the industry and tested the potential market to realize the role transition towards the leader of the industry chain through organizational expansion strategy and the open architecture design of the general industry structure; (3) in the leading stage, it has been striving to meet the demands of ecosystem partners and autonomously defines markets through the organizational ecological strategy and ecological architecture design for AI so as to support the enterprise to become leader in the digital innovation ecosystem.
The digital innovation ecosystem centered around ecosystem leaders is accelerating its formation and forming competitive barriers, but existing research has not thoroughly explored the process and mechanism of how leaders emerge in the digital innovation ecosystem. This paper proposes a co-evolution model of "environmental perception-system transformation-role transition" to explore how NVIDIA, from 1993 to 2023, progressed from an explorer in the chip market, surpassed competitors to become an industry leader, and ultimately transformed into a leader in the digital innovation ecosystem, guiding both technological advancements and market trends. This study deepens the theoretical research on the role formation of the digital innovation ecosystem, and provides implications for promoting the construction of a domestic-led digital innovation ecosystem.

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