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[Paper Express] Dual Transformation of Industrial Innovation Ecosystem under Artificial Intelligence Empowerment

Abstract:At present, artificial intelligence empowerment continues to promote technological innovation and application innovation into the "double inflection point" period, and is posing new challenges to the theory of industrial innovation ecosystem from multiple dimensions such as factor composition, functional boundaries and ecological interaction. This paper integrates the relevant theories of natural ecosystem and industrial innovation system, constructs the theoretical framework of dual transformation of industrial innovation ecosystem under artificial intelligence empowerment based on "core driving layer-pattern change layer", and takes unmanned driving as an example to deeply analyze the operation logic and practical change of dual transformation of industrial innovation ecosystem. The conclusions of the study are as follows: first, the extension of the ecological function of innovation subject leads to the emergence of multi-night subject and secondary community, which makes the new ecological interaction relationship of industrial innovation ecosystem gradually form, and becomes the core source of the evolution of industrial innovation ecosystem from "old four-helix innovation" to "new four-helix innovation"; second, the interaction between the core drive of industrial innovation ecosystem and the change of pattern is increasing, multi-host subject and secondary community continue to promote the rapid change of industrial state, so that the industrial state presents the development characteristics of value distribution reconstruction, intelligent manufacturing upgrade, business model transformation, organizational decision-making change.


Key words:artificial intelligence; innovation ecosystem; dual transformation; unmanned driving


Abstract: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.


Keyword:Artificial intelligence(AI); innovation ecosystem; dual-transition; autonomous driving


article authors: jiang lidan, xue lan, liang zheng

Author: School of Economics and Management, Beijing University of Posts and Telecommunications

School of Public Administration, Tsinghua University

China Science and Technology Policy Research Center, Tsinghua University

The full text has been published in Scientific Research, Issue 4, 2022.

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