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卡位综合性重大场景项目 时间窗口紧迫
Xin Lang Cai Jing· 2026-02-08 21:39
智启十五五 十家智库给四川的十个建议4 □川观智库研究员 黄爱林 我省"十五五"规划建议明确提出"推动新技术新产品新场景应用示范",以推动科技创新与产业创 新深度融合。当前,"场景"已不仅是技术应用的载体,更成为驱动创新、催化产业的关键引擎。 对四川而言,"十五五"期间能否深刻理解、高效运用"场景"这一关键抓手,直接关系到能否将科 技潜力转化为实实在在的发展优势,在激烈的区域竞争中突围。为此,川观智库深度对话长城企 业战略研究所咨询总监周涛,深度解码四川场景创新的未来路径。 01 判断 场景的价值升维:从创新资源到关键生产要素 川观智库:"场景"大多被定义为创新资源,但近期你们提出一个新判断——"场景"正在从一种"资 源",升级为与技术、数据、资本、人才并列的关键生产要素。这一判断的核心依据是什么? 周涛:判断依据主要来自两个层面。从理论层面看,国务院办公厅相关文件对"场景"作出新界 定:场景是用于系统性验证新技术、新产品、新业态产业化应用,以及配套基础设施、商业模 式、制度政策的具体情境,是连接技术和产业、打通研发和市场的桥梁,是推动科技创新和产业 创新融合发展的重要载体。从这一解释可以看出,场景不仅是新技 ...
持续完善数据要素价值化路径
Jing Ji Ri Bao· 2025-09-16 00:04
Core Viewpoint - The integration of digital technology into various sectors has made data a key production factor alongside labor, land, capital, and technology, emphasizing the need for effective data assetization to drive high-quality economic development [2][7]. Group 1: Data as a Production Factor - Data must undergo systematic processing, such as collection, cleaning, and labeling, to transform from raw data into valuable production factors [3]. - Despite the growth of China's digital economy, successful utilization of data resources is primarily seen in internet platform companies, with insufficient inter-organizational and market data circulation [3][4]. Group 2: Challenges in Data Value Realization - Several constraints hinder the trading and circulation of data, including unclear ownership, scene-dependent valuation, and security concerns [4]. - Companies often prefer internalizing data services rather than engaging in market transactions due to security and ownership issues [4]. Group 3: Current Practices and Innovations - Various organizations are exploring data resource integration and productization, leading to the emergence of data trading institutions and successful case studies [5][6]. - Data products are evolving into standardized datasets, analytical reports, and decision models, enhancing the measurement of data value [5][6]. Group 4: Future Directions for Data Value Realization - The realization of data value is crucial for strengthening the digital economy and promoting the synergy between industrial digitalization and digital industrialization [7]. - Emphasis should be placed on improving data collection, management, and sharing mechanisms across different sectors to fully unleash the potential of data as a production factor [7].
湖北专升本市场营销必背知识点总结
Sou Hu Cai Jing· 2025-09-11 10:29
Group 1 - The marketing major in Hubei's higher education entrance examination requires students to possess good marketing thinking and a cutting-edge knowledge background in marketing, familiar with consumer demand-centered marketing activities and project-based marketing planning [1] Group 2 - The stages of new product development include: 1. Product idea generation 2. Screening to decide whether to continue using the idea 3. Business analysis involving potential sales and product costs 4. Development of the idea into a product 5. Market testing to reduce costs and risks 6. Launching the product [3][10] Group 3 - The product lifecycle consists of four stages: 1. Introduction: Low sales and profits, costs may exceed revenue 2. Growth: Rapid sales growth and increasing profits due to economies of scale 3. Maturity: Sales stabilize, competition increases, and weaker firms may exit 4. Decline: Sales decrease due to changing consumer preferences or new technologies [3] Group 4 - Supply and demand market changes indicate that: 1. Higher price levels lead to lower demand and vice versa 2. Higher price levels result in increased supply and vice versa 3. Equilibrium occurs when the quantity demanded equals the quantity supplied at a specific price [4] Group 5 - Methods to correct market failures include: 1. Regulation, which can be difficult to implement 2. Subsidies, which may not effectively encourage consumption 3. Legislation, which may not adequately inform consumers about harmful products 4. Taxation, which has limited effects due to inelastic demand for harmful goods [5] Group 6 - Government intervention methods include: 1. Macroeconomic policy tools aimed at influencing the overall economy, such as interest rate changes and government spending 2. Microeconomic policies that specifically target individual markets [6] Group 7 - Factors affecting demand changes include: 1. Income, prices of substitutes, seasonality, and climate 2. Customer expectations, prices of complementary goods, and advertising 3. Customer preferences and government policies [7] Group 8 - Production factors, which are resources available for use, include land, labor, capital, and entrepreneurship [8] Group 9 - Sources of market research information include: 1. Internal sources, which are information owned by the company 2. Primary external sources, which are information collected from the public 3. Secondary external sources, which are information derived from existing materials [9]
未来10年,最挣钱的注定是这一类群体
创业家· 2025-05-26 10:10
Core Viewpoint - The article discusses the evolution of wealth distribution through different historical periods, emphasizing that ownership of key production factors determines wealth accumulation. It highlights the transition from slave owners to industrial capitalists, then to financial capitalists, and now to platform digital capitalists, with data emerging as a new critical production factor [1]. Group 1 - The most profitable entities have shifted from slave owners to industrial capitalists, and now to platform companies in the digital age, indicating a change in the key production factors over time [1]. - The emergence of data as a new production factor is crucial, as it can significantly enhance productivity and efficiency in businesses, exemplified by the case of a company reducing waste feedback time from 24 hours to 15 minutes through digital monitoring [2]. - The production organization, output structure, and distribution methods in service-oriented enterprises are being transformed by data, which is now a determinant of production capacity [2]. Group 2 - The year 2025 is projected to be a pivotal moment where businesses must either evolve or face obsolescence, with global trade tensions and AI reshaping the foundational logic of commerce [3]. - The current era is characterized as a golden age for disruptors, suggesting that those who engage with AI entrepreneurs and industry experts will uncover unique opportunities [4]. - The spirit of entrepreneurship is emphasized, with initiatives aimed at connecting entrepreneurs to foster collaboration and resource sharing, highlighting the importance of community in navigating the challenges ahead [5].