当前，人工智能赋能不断推进技术创新和应用创新进入“双拐点”时期，正在从要素构成、功能边界、生态互动等多个维度对产业创新生态系统理论提出新挑战。本文集成自然生态系统和产业创新系统等相关理论，基于“核心驱动层-样态变革层”构建人工智能赋能下产业创新生态系统双重转型的理论框架，并以无人驾驶为例，深入剖析产业创新生态系统双重转型的运行逻辑和实践变革。研究发现结论如下：一是创新主体生态功能延展催生多宿主体和次生群落的出现，使得产业创新生态系统新型生态互动关系逐渐形成，成为产业创新生态系统由“旧四螺旋创新”向“新四螺旋创新”演进的核心动源；二是产业创新生态系统核心驱动与样态变革的相互作用日益增强，多宿主体和次生群落不断推动产业样态快速变革，使得产业样态呈现出价值分配重构、智能制造升级、商业模式转变、组织决策变革的发展特征。

Nowadays, artificial intelligence (AI), as a main force leading the new round of disruptive industrial change, begin to spread and accelerate enabling in various fields. Meanwhile, the artificial intelligence enables the “double transition” of technology innovation and application innovation, which puts forward emerging challenges to sectoral innovation ecosystem (SIES) from multi-dimensions, such as the production factors, the function boundary, the interaction relationship, etc. The transitions of SIES empowered by AI leads to following thinking in this paper: what original changes will AI enable the main composition and biological community of SIES? What breakthrough changes will AI enabling make in the main ecological position and interactive relationship in SIES? What disruptive changes will take place in industrial pattern due to the transitions of SIES empowered by AI? Learning lessons from theories of nature ecosystem and SIES, this paper constructs the theoretical framework of dual-transition (including core driving layer -industrial pattern change layer) empowered by AI, and the operation logic and industrial revolution within SIES are analyzed by the case study of autonomous driving. It mainly includes two steps in this part. First, based on the theoretical framework of SIES transition, this paper reveals the dynamic process of “core drive leading to industrial change”, and explains the new interactions among innovators in the SIES. To explore the core driving layer, the article also draws the cross-sectional view of the evolution from “traditional quadruplex helix” to “emerging quadruplex helix”, which also explains the generation of multi-homing actor and secondary communities in the SIES. Second, taking autonomous driving as an example, this paper gives the keywords’ co-occurrence network of autonomous driving SIES, and makes practical analysis on four aspects of SIES transition empowered by AI. The research findings are as follows: first, the emergence of multi-homing actor and secondary communities give rise to the new ecological interaction of SIES, and it becomes the core driver pushing SIES from traditional quadruplex helix to emerging quadruplex helix. Second, the interaction of core driving and industrial change are increasingly enhanced, and multi-homing actor and secondary communities continuously trigger industrial practice changes. These make characteristics of industrial patterns tend to reconstruct of value distribution, upgrade of intelligent manufacturing, adaptation of business model, and revolution of organizational decision-making. All in all, an emerging SIES integrating “core driving layer - industrial pattern change layer” empowered by AI is becoming clearer and clearer. This paper contributes to existing research in the following two aspects: first, it puts forward and demonstrates new concepts of multi-homing actor and secondary communities. And it explains the emerging quadruplex helix innovation by exploring secondary communities including technological innovation, product manufacturing, market application and policy regulation. By interpreting the existence of multi-homing actor and secondary communities, this paper break through the theoretical dilemma about the fuzzy function boundary in SIES. Second, by describing the industrial patterns and emerging characteristics empowered by AI, this paper verifies the practical transition (such as reconstruct of value distribution, upgrade of intelligent manufacturing, adaptation of business model, and revolution of organizational decision-making) of autonomous driving SIES, which strongly proves that AI enabling is triggering ubiquitous changes in industrial patterns.

The case study provides a history of Chez Panisse and Alice Waters. Throughout Chez Panisse's history, Waters and her team had built a local and now global ecosystem using an “open innovation” strategy with stakeholders such as suppliers, alumni chef and staff, food writers, and others. The Chez Panisse ecosystem case study uses an open innovation framework to analyze how Chez Panisse grew. The case study allows students to learn how a small firm thrived and became a business success based on building a successful business ecosystem that shares knowledge, encourages individuals' growth, and embeds trust among participants.

人工智能作为全球新一轮科技革命和产业革命的核心驱动力，将对创新本身带来深刻变革。在回顾人工智能创新管理研究文献基础上，从技术、制度、组织和法律理论视角入手，分别对人工智能视角下技术创新路径、创新政策、创新模式与知识产权制度创新进行系统梳理与评述，在此研究基础上提出并界定“机器创新”这一新的技术创新模式，丰富了该领域的理论研究。结合人工智能视角下的创新管理研究现状，针对系统视角下人工智能领域创新生态系统研究空白，绘制出人工智能视角下未来创新管理研究的4条路径，并对未来研究进行展望。

［目的/意义］人工智能技术的快速发展和广泛应用对知识管理产生了深远影响，研究者已经承认了知识管理与人工智能的“近亲”关系。［方法/过程］在梳理现有知识管理和人工智能关系文献的基础上，从技术、组织和战略三个维度分析了人工智能对知识管理的影响。［结果/结论］构建了人工智能环境下知识管理模式三维框架，将知识管理划分为知识跨界协同、系统匹配优化和创新绩效激励三种模式，并提出了相应的知识管理策略。

For all its richness and potential for discovery, qualitative research has been critiqued as too often lacking in scholarly rigor. The authors summarize a systematic approach to new concept development and grounded theory articulation that is designed to bring “qualitative rigor” to the conduct and presentation of inductive research.

具有开放性、可供性等特征的数字技术使得传统企业形成了数字化转型企业开放式创新生态系统的新组织型态。然而，当前对其的研究还处于概念探讨和特征归纳的初级阶段，急需对其构建研究形成系统性理论框架。因此，首先基于相关概念的梳理，尝试明晰“何为”数字化转型企业开放式创新生态系统，即其内涵界定；其次，结合当前开放式创新生态系统、数字化转型企业两大研究基础，厘清“为何”急需开展数字化转型企业开放式创新生态系统构建的研究；最后，初步提出包括“型态识别→构建动因→构建逻辑→构建过程”的研究框架，指出未来“如何”开展数字化转型企业开放式创新生态系统构建的研究，以期为数字化转型企业开放式创新生态系统构建研究夯实理论基础并指明未来研究方向。

The characteristic of digital technology has profoundly changed the process and results of innovation, presenting changes such as open innovation process, fuzzy boundary, resource liquefaction, multi-dimensional value co-creation, cross-border network structure, etc. Especially, in the era of open innovation, enterprises’ innovation is no longer the task of a single organization, but of an innovation ecosystem composed of multiple organizations. Traditional enterprises have formed a new organizational type of open innovation ecosystem of digital transformation enterprises. However, the current research is still in the initial stage of concept discussion and feature induction, and it is urgent to build a systematic theoretical framework for the future research.First, as a new organization type formed by the digital transformation of traditional enterprises under the background of digital technology, the definition of the concept of the open innovation ecosystem of digital transformation enterprises should be based on the definition of the concept of the open innovation ecosystem of enterprises and the digital transformation enterprise. Therefore, based on these two concepts, this paper tries to clarify “what” the open innovation ecosystem of digital transformation enterprises is. Then, scholars’ research on the open innovation ecosystem mainly focuses on concept discussion and feature induction, there is a lack of attention to “why” and “how” construct the open innovation ecosystem. Meanwhile, scholars have recognized the basic view that digital technology promotes digital transformation enterprises to present an open innovation ecosystem, and have believed that digital technology makes the central enterprises in the system play an increasingly important role. However, scholars have failed to further explore how central enterprises design and build open innovation ecosystems. Therefore, combined with these current two research basis, this paper clarifies “why” the research on the construction of open innovation ecosystem of digital transformation enterprises is urgently needed. Finally, this paper puts forward a research framework including “pattern identification - construction motivation - construction logic - construction process”, and points out “how” to carry out research on the construction of open innovation ecosystem of digital transformation enterprises in the future. In terms of pattern identification, this paper argues that different types of open innovation ecosystems of digital transformation enterprises can be identified according to the two dimensions of openness and centrality. In terms of construction motivation, this paper argues that schoolrs should systematically discuss why the open innovation ecosystem of digital transformation enterprises constructs, namely the architecture of the construction motivation driven by digital technology. In terms of construction logic, this paper argues that schoolrs should focus on the bridges of why and how the open innovation ecosystem of digital transformation enterprises constructs, namely the types and formation mechanisms of their construction logics. In terms of construction process, this paper argues that schoolrs should focus on how to construct four types of open innovation ecosystems of digital transformation enterprises, namely their construction process patterns and evolution rules.This paper will help guide scholars to deepen and expand the open innovation ecosystem research from the current primary stage to the concrete research, and enrich the research on the organizational types of digital transformation enterprises. Therefore, this paper lays a solid theoretical foundation for the research on the construction of open innovation ecosystem of digital transformation enterprises.