以未来场景为牵引、推进新兴技术产业化,是培育新质生产力的重要路径。扎根于场景驱动创新与知识组织理论,遵循从建构到解构的分析路径,将面向未来场景的新兴技术产业化建构逻辑化约为场景嵌入的靶向性逻辑、协同创新的静态运行逻辑和迭代跃迁的动态演化逻辑,并构建“场景驱动—技术创新—产业化应用”的研究框架。以华为在5G-Advance技术领域创建的开放式创新生态为依托,开展探索性案例研究,总结出以“场景挖掘与协同创新—场景嵌入与知识组织—场景适配与迭代跃迁”为逻辑主线的过程机制。研究发现:(1)新兴技术产业化过程可划分未来场景挖掘、场景化知识组织、场景化应用适配3个关键阶段;(2)融合战略导向、商业需求、产业现状、技术基础的未来场景识别,为新兴技术产业化提供了“靶标”;(3)场景化知识组织是实现新兴技术产业化的中枢,场景化应用适配是“场景—技术—产业”迭代演进的催化剂。研究为企业构建未来场景感知系统、优化新兴技术供给与市场需求的耦合机制提供了理论依据和实践参考。

As hubs of technological innovation, emerging industries are emerging as critical engines driving the development of new productive forces. Promoting the industrialization of emerging technologies under the guidance of future scenarios constitutes a pivotal pathway for fostering future industries. Knowledge organization serves as the foundation for resource development. Building on theoretical foundations and logical construction, and adhering to the basic analytical paradigm of "initiation-process-outcome," this paper constructs a research framework of "scenario-driven-technological innovation-industrial application" oriented toward future scenarios. In line with this logical framework and the principles of theoretical sampling, heuristic value, and typicality, this study selects Huawei as the case sample, as it is recognized as a leader and advocate in scenario-based innovation.Leveraging Huawei’s open innovation ecosystem in the 5G-advanced domain, this study employs an exploratory single-case research method to systematically explore the process mechanisms through which Huawei responds to future scenario needs via knowledge-organizing behaviors, realizes the industrial application of emerging technologies, and drives the development of new scenarios.This paper summarizes the process mechanism of emerging-technology industrialization with the core logic of "scenario mining and collaborative innovation-scenario embedding and knowledge organization-scenario adaptation and dynamic transition".The research findings are as follows:（1） The industrialization process of emerging technologies can be divided into three key stages :future scenario mining,scenario-based knowledge organization,and scenario-based application adaptation.Scenario mining marks the starting point of technological industrialization innovation.The identification of future scenarios,which integrates strategic orientation,commercial needs,industrial status quo,and technological foundations,provides a "target" for the industrialization of emerging technologies.（2） Scenario-based knowledge organization represents the technical dimension for realizing the industrialization of emerging technologies,and ecological collaboration serves as the "backbone" of high-performance knowledge organization. This paper defines scenario knowledge as a knowledge system with high contextual adaptability, dynamically evolving through the targeted integration of technologies, resources, and domain experience based on the needs and constraints of specific application scenarios. The scenario-based knowledge organization of emerging technologies involves scenario knowledge aggregation and scenario knowledge reorganization.（3） Scenario-based application adaptation acts as the hub for the iterative evolution of the "scenario-technology-industry" triad. Application in original scenarios forms a vertical evolutionary path of "agile trial-and-error-large-scale commercialization", while the development of new scenarios forms a horizontal interaction model of process-based development and parallel development. This not only accelerates the efficiency of transforming technological achievements into industrial value but also reconstructs the industrial chain value network through the continuous expansion of scenario boundaries, forming a future-industry cultivation paradigm of "technological brea kthrough-scenario innovation-industrial evolution".In light of the conclusions, this paper suggests that（1） enterprises should cultivate capabilities in scenario insight, knowledge reorganization, ecological collaboration, and digital governance in the context of the digital economy to break through the traditional linear innovation model and establish a closed-loop management mechanism of "scenario miningknowledge organization-scenario adaptation-scenario iteration".（2） It is necessary to dynamic knowledge management system driven by scenarios and cross-domain, cross-organizational, and interdisciplinary knowledge collaboration mechanisms. Building on existing open-source systems, enterprises should vigorously develop digital platforms that support knowledge generation and simulated knowledge reorganization, and systematically manage scenario knowledge as a core technological competitiveness.（3） Enterprises should promote the three-dimensional collaborative transformation of "technology-industry-market" and synchronously plan transformation paths for technological breakthroughs, industrial restructurin g, and value innovation. The contribution of this paper lies in revealing the theoretical constructs and practical paths for realizing the industrialization of emerging technologies toward future scenarios from the perspective of knowledge organization,and summarizing the industrialization innovation models oriented toward future scenarios.This has important theoretical and practical value for the in-depth application of knowledge organization theory,the expansion of the scenario-driven innovation paradigm,and the acceleration of emerging technology innovation and future industry cultivation.The research conclusions provide a theoretical basis and practical reference for enterprises to build future scenario perception systems and optimize the coupling mechanism between the supply of emer-ging technologies and market demand in the context of de-globalization.