01 June 2026, Volume 22 Issue 3

    

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  Scientific and Technological Intelligence and the Development of Modern Service Industry

  CHEN Chao

  Competitive Intelligence. 2026, 22(3): 1-1.

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  Patents as National Power: The Strategic Reshaping of the United States Patent and Trademark Office in the Trump 2.0 Era and Its Implications

  REN Xiaobo

  Competitive Intelligence. 2026, 22(3): 2-13.

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  Editor’s Note: On March 25, 2026, United States Patent and Trademark Office (USPTO) Director John A.Squires reiterated at a House hearing that the USPTO is transitioning from a traditional examination authority into a “central bank of innovation”. This strategic repositioning marks a shift in which the patent system is evolving from a purely legal instrument into a core component of national competitiveness infrastructure, further underscoring the logic that “patents as national power”. In this framework, the patent system has become a critical vehicle through which a nation allocates innovation resources, shapes technological advantages, and underpins security capabilities, directly serving objectives across technology, industry, and national security. At the same time, “the Outline of the Fifteenth Five-Year Plan for National Economic and Social Development of the People’s Republic of China” signals a clear forward shift in the role of intellectual property, calling for it to play a greater part in supporting a modern industrial system, strengthening its function as an asset attribute, and participating in global rule-making competition. Against this dual domestic and international backdrop, this article takes recent U.S. practices as its staring point, systematically deconstructs the pathways of institutional restructuring across technology, industry, rules, and governance, and proposes an analytical framework for patent strategy. This framework is intended to clarify the functional positioning and policy choices of the patent system under different scenarios, providing a reference for China as it explores the development of a patent system that is deeply integrated with national science and technology strategy, precisely empowers high-level technological self-reliance and self-strengthening, and systematically supports international technological competition. It also offers insights for understanding, from a competitive perspective, how patent systems can serve technologicaldevelopment and industrial rivalry.
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  Research on the Big Data-Driven Precise Service Model of Competitive Intelligence for Small and Medium-Sized Enterprises

  SHEN Tao, WANG Yangyu

  Competitive Intelligence. 2026, 22(3): 14-23.

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  Big data technology is profoundly reshaping the enterprise management and socio-economic operation model, and triggering disruptive changes in the market environment. Building a precise service model of competitive intelligence based on big data has become an important strategic initiative for small and medium-sized enterprises to achieve sustainable development. By analyzing and sorting out the related concepts of big data-driven, precise service, and entity collaboration, the study confirm that establishing a entity collaboration mechanism can improve the accuracy and efficiency of competitive intelligence service for small and medium-sized enterprises. Based on the role positioning of service entities, a collaborative mechanism model is designed, which consists of the government, industry associations, scientific and technological intelligence institutions, professional consulting agencies, and small and medium-sized enterprises. On this basis, a big data-driven competitive intelligence precise service model for small and medium-sized enterprises is designed. This forms a collaborative and co-creation ecosystem of precise identification of competitive intelligence needs, accurate analysis of competitive intelligence content, and precise delivery of competitive intelligence product.
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  Knowledge Structure and Evolution Trends in the Trade Secrets Research Field at Home and Abroad: A Comparative Analysis Based on Knowledge Graphs

  LI Zengbei, YUAN Li, ZOU Yun

  Competitive Intelligence. 2026, 22(3): 24-35.

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  In the era of the knowledge-based and innovation-driven economy, trade secrets have become a vital component of national core competitiveness and security systems. However, existing research remains largely confined to single perspective, and lacks a systematic comparison of the global knowledge structure and evolution in this field. This study pioneers the application of bibliometric methods in trade secrets research field. Utilizing knowledge graph software for visual comparative analysis of domestic and foreign literature, this study established a multi-dimensional framework to clarify commonalities and differences in research from the perspectives of authors, institutions, and keywords, thereby systematically analyzing the knowledge structure and developmental dynamics in this field. The findings reveal that while research scale has consistently grown globally, collaborative networks among foreign authors and institutions demonstrate greater density with stronger interdisciplinary synergy. Significant thematic divergences emerge: domestic research concentrates on legal regulation and digital economy governance, exhibiting policy-driven characteristics, whereas foreign studies focus more on cutting-edge security technologies such as encryption algorithms and data hiding. In terms of evolutionary paths, domestic research has shifted from legal practice toward data property rights exploration, while foreign research has expanded from hardware security to emerging areas including differential privacy and wireless communication security. This research elucidates paradigm differences and knowledge structure characteristics between domestic and foreign trade secrets research, providing theoretical foundations for interdisciplinary integration and academic resources optimization. It offers significant reference value for constructing trade secrets protection system adapted to the digital economy.
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  Analysis of Global Frontiers Trends in Clean Energy Development Based on CiteSpace: A Case Study of Tandem Perovskite Solar Cells

  LIU Pu

  Competitive Intelligence. 2026, 22(3): 36-46.

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  With its ultra-high efficiency potential, tandem perovskite solar cells are emerging as a disruptive force driving the transformation of the photovoltaic industry. Analyzing the global frontier trends in clean energy development not only helps to construct a theoretical framework for clean energy research but also provides critical references for future academic exploration and practical applications. The article takes the core collection data of Web of Science from 2015 to 2025 as the literature statistical source, and employs tools such as CiteSpace and VOSviewer to conduct quantitative analysis across multiple dimension, including temporal evolution, spatial distribution, collaboration networks, and knowledge structure. The findings reveal that the development of tandem perovskite solar cells exhibits phased evolutionary characteristics, significantly driven by policy support. China ranks among the top in terms of the number of published papers in this field, forming a multipolar collaboration network centered around China, Germany, and the United States. Research hotspots are shifting from fundamental material development to industrial applications, forming a dual-track development pattern of “perovskite-silicon tandem and all-perovskite tandem” solar cells. Key technologies such as defect passivation and interface engineering constitute the current research core, while emerging frontiers include self-assembled monolayers and wide-bandgap perovskites. It is suggested that future research should focus on systematic investigations into stability mechanisms, process innovation, and industry-academia-research collaboration to accelerate industrial deployment in China.
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  Research on Multidimensional Driving Paths for High Quality Development of Technology Based Entrepreneurial Enterprises

  LIU Ran, DUN Shuai, TANG Tianbo

  Competitive Intelligence. 2026, 22(3): 47-55.

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  As the main creators of employment and economic value, technology-based entrepreneurial enterprises have become an important driving force for the high-quality development of China’s economy in the new journey. The study takes 311 technology-based entrepreneurial enterprises participating in the “Maker China” Shanghai competition as samples, and based on six key elements from the perspective of internal and external entrepreneurial environments, uses Fuzzy-sets Qualitative Comparative Analysis (fsQCA) method to analyze the collaborative driving mechanism for high-quality development of technology-based entrepreneurial enterprises. Research has found that human resources, government policies, and social support are necessary conditions leading to the high-quality development of technology-based entrepreneurial enterprises; There are three paths for the high-quality development of technology-based entrepreneurial enterprises, namely the human resource driven path, the human resource social support collaborative driven path under government policy guidance, and the entrepreneurial cognition incubation conditions social support collaborative driven path under government policy guidance.
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  Global Development Trends of the Generative Artificial Intelligence Industry

  WANG Desheng

  Competitive Intelligence. 2026, 22(3): 56-64.

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  Generative artificial intelligence (GenAI), as a new generation of general-purpose technology, is rapidly transforming economic and social activities. It plays an increasingly important role in enhancing productivity, driving industrial upgrading, and reshaping innovation models, and has become a key indicator of national technological strength and industrial competitiveness. In recent years, the global GenAI industry has experienced rapid growth, with accelerated technological evolution and expanding application scenarios. This paper focuses on the global development trend of GenAI during 2025–2026, systematically analyzing the current industrial sitnootion and competitive landscape around market size, regional dynamics, technological pathways, industrial competition, and development models of major nations, and provides insights into future industry trends.