Abstract: [Purpose/Significance] Technology forecasting is a field of research related to future technology development trends and technological innovation. This paper aims to identify the current research hotspots and frontiers in the field of technology forecasting, to provide guidance for the technological innovation of enterprises and organizations, helping them seize opportunities and avoid risks. [Method/Process] Technology forecasting literature from WoS and CNKI (2001—2024) was analyzed using VOSviewer and CiteSpace to identify literature characteristics, hotspots, and frontiers. [Result/Conclusion] The result shows that: ①The volume of articles published in the field of technology forecasting has grown steadily at domestic and international, and the core journals are distributed in the fields of information science, management and other disciplines. ②A stable core authors group has formed in the field of technology forecasting at home and abroad. In China, collaboration remains predominantly intra-institutional, and there are cross-institutional, with cross-institutional ties often stemming from mentor-apprentice relationships. Internationally, cross-institutional collaboration is more prevalent, frequently facilitated by jointly-trained scholars and visiting academics who serve as bridges for research partnerships. Notably, Chinese scholars have emerged as key contributors to international technology forecasting research. ③Regarding research hotspots, domestic research focuses on the research of emerging and disruptive technologies, technology opportunities, and technology forecasting methods. Foreign countries focus on technology development trend research, emerging technology assessment and forecasting research, technology convergence and technology intelligence research, technology opportunity discovery and analysis research. ④In terms of research frontiers, identification and prediction of disruptive and emerging technologies, research on technology convergence and technological innovation, and optimization of technology opportunity identification and discovery methods are the research frontiers in the field of domestic technology forecasting. The research frontiers in the field of foreign technology forecasting mainly focus on the improvement of technology forecasting methods and the discovery and analysis of technology opportunities.

Abstract: [Purpose/Significance] Many scholars are using qualitative comparative analysis and structural equation modeling to conduct empirical analysis in the field of library and information, but few relevant studies are comparing the two methods. This study can provide a useful reference for selecting appropriate methods to explore the problems in the field of library and information, which is of great benefit to improving the overall research level of this discipline. [Method/Process] The principle, operation procedure, and application of QCA and SEM are elaborated and compared, and then QCA and SEM are respectively used to conduct an empirical study on the willingness of online knowledge paying users to continue using. [Result/Conclusion] The results showed that there were differences between the two methods. In terms of theoretical basis, QCA theory is based on set theory and Boolean algebra, while SEM theory is based on analysis of variance. In terms of causal analysis, QCA emphasizes equivalence and asymmetry, which is suitable for analyzing complex and interrelated problems with multiple antecedents, and SEM emphasizes linearity and symmetry, which is suitable for analyzing the relationship between two variables. In terms of research objectives, QCA is mainly to construct new theories and extend existing theories, while SEM is mainly to verify and improve existing theories. In terms of logic analysis, QCA is mostly an exploratory analysis method in logic analysis, while SEM is mostly a verification analysis method. In empirical studies, the multiple pathways resulting from QCA can complement the univariate conclusions of SEM.

Abstract: [Purpose/Significance] This study proposes a methodology and process for knowledge discovery in technology fields based on the integration perspective. By constructing a knowledge map of multi-energy technology and focusing on analyzing the integration features (e.g., synergistic energy utilization and system integration), this study aims to provide a new methodological tool for identifying the potential of technology integration. [Method/Process] By integrating different patent technology classification systems, this study innovatively constructed a multi-energy integration patent knowledge graph. It established a domain knowledge organization framework based on multi-technology classification fusion. The conceptual model was constructed by combining the "top-down" and "bottom-up" methods, with the low-carbon energy technology field using as the empirical research object to systematically analyze the multi-energy fusion trend, fusion signal, and multi-energy fusion potential of low-carbon energy. [Result/Conclusion] Empirical study shows that combination of knowledge map, and bibliometrics can help analyze the development trends of low-carbon energy convergence, reveal the characteristics of technology integration of multiple low-carbon energy sources, and focus on specific domains to explore the potential and technological evolution path, to provide a decision-making basis for the development and application of low-carbon multi-energy integration technology.

Abstract: [Purpose/Significance] In order to promote the standardization and digital transformation of Hainan sea fishing industry, this paper integrates knowledge management theory and Internet of Things technology to build intelligent management solutions and provide scientific and technological support for the upgrading of recreational fisheries. [Method/Process] Based on the real-time data acquisition and big data analysis technology of HiTo smart bracelet, the "Deshun Haitu" integrated management information service platform was designed and developed. The platform incorporated functional modules such as safety early-warning, resource scheduling, and user behavior analysis. Its efficacy was validated and refined through multiple iterations of case studies, expert evaluations, and simulation tests. [Result/Conclusion] "Desheng Haitu" integrated management information service platform based on HiTo smart bracelet can significantly reduce the rate of sea fishing accidents (down 35%), improve the efficiency of fishery resource allocation (28%), and enhance user activity (up 40%). Through the real-time perception and dynamic analysis of intelligent devices, accurate risk early warning and intelligent resource allocation can be realized, and a replicable technical path and management paradigm can be provided for the digital transformation of recreational fisheries.

Abstract: [Purpose/Significance] By facilitating the externalization of tacit knowledge, this study aims to drive knowledge innovation within virtual brand communities, ultimately injecting strong momentum into corporate innovation. [Method/Process] Using Xiaomi community members as research subjects, this study conducted coding analysis and relationship mapping of interview data. Grounded in the Stimulus-Organism-Response (SOR) theory, a model was developed to identify the influencing factors and pathways of tacit knowledge externalization among virtual brand community members. Finally, promotion strategies were proposed from three dimensions: individual, community, and brand dimensions. [Result/Conclusion] Community members' risk perception and benefit considerations are direct factors influencing tacit knowledge externalization behavior. Members' self-efficacy and intrinsic motivation, along with community-level factors (including member participation, content dissemination mechanisms, management, and ecosystem), as well as members' emotional identification with the brand and continuous attention to product innovation, indirectly affect tacit knowledge externalization by influencing members' risk perception and benefit considerations.

Abstract: [Purpose/Significance] Fact-checking is an effective strategy to combat the dissemination of misinformation. Exploring the mechanism of how fact-checking types (crowdsourced and AI fact-checking) influence users' information participation behavior can help social platforms improve and optimize their measures for misinformation governance. [Method/Process] Based on real data from social media platforms, this study used analysis of variance to investigate the impact of fact-checking on users' information participation behavior, while considering the moderating effect of source credibility. [Result/Conclusion] The empirical results show that crowdsourced fact-checking significantly affects users' information engagement behavior, with positive fact-checking promoting information participation behavior and negative fact-checking inhibiting it. AI fact-checking positively influences users' information engagement behavior, and the combination of AI and crowdsourced fact-checking also positively affects users' information engagement behavior. Source credibility positively moderates the relationship between crowdsourced fact-checking and information engagement behavior, as well as the relationship between AI fact-checking and information engagement behavior. This study reveals the impact of different types of fact-checking and their integration on information engagement behavior, providing theoretical support for social media platforms to fully utilize collective intelligence and AI for fact-checking and misinformation governance.

Abstract: [Purpose/Significance] This paper aims to comprehensively grasp the theoretical and practical frontiers of data governance in the field of library and information science, construct a systematic cognitive framework, and provide a strong reference for relevant policy formulation, institutional design, and strategic planning implementation. [Method/Process] With the help of CiteSpace and VOSviewer visualization tools, the data source of this paper was CNKI. Through the analysis of the topic information, this paper built the research framework of the field, extracted the frontier hotspots of the field, and explored the development and evolution of the field. [Result/Conclusion] The research literature on data governance in the field of Library and Information Science in China shows an exponential growth trend and can be divided into two stages (2015-2019 and 2020 to now). Through topic clustering, five topics are summarized, including governance theory system, governance technology system, governance business model, governance practice plan, governance policies and laws, and regulations. Further prospects for the research on data governance in China are put forward, which provide theoretical and practical reference for better playing the role of "data element ×" and promoting the modernization of the national governance system.

Abstract: [Purpose/Significance] Addressing issues such as single point of failure, privacy leakage, and insufficient ability of traditional digital resource preservation methods, an integrated model based on blockchain and distributed storage is proposed to solve the core challenges such as easy data tampering, inefficient permission management and a lack of trust in cross-institutional collaboration. [Method/Process] This study designed a hierarchical architecture model that integrates blockchain depositary metadata and IPFS chunked storage files. And smart contracts were utilized to automate processes including resource upload, permission control and data recovery. Data privacy was safeguarded through AES encryption. The model's reliability was rigorously verified based on a hash collision probability calculation (4.26×10^-27) and a quantified disaster tolerance capacity quantification (annual file recoverability rate of 99.99%). [Result/Conclusion] The model significantly outperforms other methods in data immutability, privacy protection (it takes 3.68×10⁵¹ years to crack AES-256) and disaster tolerance capacity. And it is suitable for high-security scenarios such as digital archives and medical data management. The study also proposes strategies such as hierarchical storage, data deduplication and compression to optimize system performance and reduce cost. A modular design reduces development complexity, while the integration of managed services enhances deployment efficiency. This research shows that the collaborative mechanism of blockchain and IPFS provides a reliable path for digital resources preservation. In the future, it is necessary to further balance performance and cost to support large-scale applications.

Abstract: [Purpose/Significance] Exploring young people's attitudes towards the digital modeling of traditional culture plays a significant role in the communication of cultural heritage. [Method/Process] Based on CAPS theory, this study had employed methods such as word frequency analysis, topic identification, and sentiment analysis to investigate the young people's attitudes towards the digital modeling of traditional culture, having used the danmaku and comments from videos showcasing traditional culture on Bilibili as the research subjects. The study had collected and cleaned a total of 22,961 danmaku and comment texts from high-play-volume videos related to the construction of traditional Chinese architecture using the sandbox game Minecraft on Bilibili. [Result/Conclusion] Results show that the younger generation maintains a certain level of interest and awareness in traditional architecture and culture, especially regarding the use of new forms like Minecraft to inherit traditional architectural culture; the younger generation appreciates and recognizes the aesthetic and cultural value of traditional architecture and shows a certain interest in the design and creative skills of traditional construction; nearly 60% of the younger generation hold a positive attitude towards using Minecraft to inherit traditional architectural culture, demonstrating a fondness for historical civilization and pride in traditional culture. It is evident that inheriting traditional architectural culture through game formats is feasible, capable of attracting the attention and participation of the younger generation, and providing new ideas for the protection, inheritance, and promotion of traditional architecture.

Abstract: [Purpose/Significance] By constructing a model of online application behavior among fine arts undergraduates, this study aims to provide a basis for art universities to understand and grasp students' online behaviors, thereby monitoring their digital activities and exploring innovative online ideological and political education models in higher education. [Method/Process] Based on grounded theory and using the qualitative data analysis tool NVivo 12, interview texts were subjected to open coding, axial coding, selective coding, and theoretical saturation testing to develop a model of online application behavior for fine arts undergraduates. [Result/Conclusion] The model reveals that under different online and real-world contexts, influenced by personal traits and realistic constraints, fine arts undergraduates' online behaviors exhibit similar group characteristics while differing in behavioral purposes and patterns. The model summarizes six core categories (representation layer, environment layer, goal layer, behavior layer, extension layer, and constraint layer), as well as 18 main categories. Based on these core categories, the study further proposes that art universities should enhance the effectiveness of online ideological and political education by focusing on three aspects: environmental governance, goal guidance, and behavior correction, thereby providing a foundation for properly guiding students' online behaviors.

Abstract: [Purpose/Significance] This study employs the BERTopic model to analyze the core themes, evolutionary pathways, and frontier dynamics of data element valorization in China, providing a macro perspective and objective foundation for advancing theoretical exploration and guiding practical applications. [Method/Process] Having used 1735 articles published in CNKI from 2019 to the present as the dataset, this research had applied the BERTopic topic modeling approach. First, a semantic embedding space had been constructed using a pre-trained language model, and UMAP had been applied for dimensionality reduction, combined with HDBSCAN for density-based clustering, to have initially generated the incorporation of a temporal analysis method to trace the dynamic evolution of research topics. [Result/Conclusion] The findings reveal that: ① Current research themes focus on five key areas: "Enterprise Innovation and Data Element Market Cultivation", "Data Infrastructure Systems and Industrial Digital Transformation", "Element Marketization Allocation and Institutional Reform", "Data Transaction Systems and Market Competition Mechanisms", and "Data Empowerment for Productivity Improvement and Regulatory Balance". ② Data element valorization exhibits multidimensional collaborative characteristics and forms a dynamic evolutionary mechanism.

Abstract: [Purpose/Significance] To explore the characteristics and inherent rules of health information interaction behavior among young social media users, and provide measures and solutions for social media intervention in users' positive health behavior. [Method/Process] In this paper, by collecting interview data, log files, experimental video data and Xiaohongshu note data, and adopting the data analysis methods of grounded theory and text mining, an in-depth analysis was conducted on the characteristics of young social media users' health information acquisition behaviors, the logic of health information quality evaluation, and the patterns of health information retrieval behaviors. And based on Engeström's Activity Theory and Kuhlthau's Information Search Process Model, an activity model of the health information retrieval behavior patterns of young social media users was constructed. [Result/Conclusion] The following conclusions were drawn: The sources from which young social media users obtain health information exhibit the characteristics of diversified choices that are mainstream-oriented and demand-driven. The ways in which they pay attention to health information content are mostly demand-based retrievals triggered by recommendations, and the categories of attention fall into multiple core areas of concern. Young social media users' evaluation paths for health information quality follow a dual path of subjective cognition and objective perception. The basis for judging the trustworthiness of health information is a collaborative inspection-style information assessment through the convergence of content and the consensus of comments, and the evaluation method of health information is based on the principle of the minority obeying the majority.

Abstract: [Purpose/Significance] In order to understand the implementation status of scientific research achievements evaluation in Chinese universities under the guidance of "Breaking the Five-Only Criteria", grasp the reform direction of scientific research evaluation, and promote the healthy development of academic ecology in universities. [Method/Process] This paper uses the content analysis method based on policy text coding to analyze 95 university research reward policy texts, systematically sort out the evaluation indicators and criteria of different types of scientific research achievements, and reveal the reform ideas of university research achievement evaluation. [Result/Conclusion] It is found that the scientific research achievements of universities include five types: award achievements, academic papers, academic works, technology property rights, think tank consulting results, etc. The overall scientific research reward system has problems such as unbalanced attention, inadequate classification of disciplines, and imperfect qualitative evaluation system. At the institutional level, it is necessary to improve the relevant provisions of non-theoretical results evaluation, expert review, subject classification evaluation, and human-machine collaborative evaluation, and guide scholars to return to the essence of scientific research.

Abstract: [Purpose/Significance] Focusing on the public opinion dynamics of generative artificial intelligence, especially ChatGPT, we aim to explore the background and significance of this technology and its social impact, analyze the public acceptance and public opinion evolution process, and provide theoretical support for the application of related technologies and social governance. [Method/Process] 221 564 microblog data related to generative AI between January 2023 and September 2024 were analyzed. By using the BERTopic model to extract the core themes and combining with keyword co-occurrence network analysis, we tracked the discussion hotspots and the evolution of public opinion in different time periods. [Result/Conclusion] This study identified eight major themes, including technology industry, education and robotics, and health care, and revealed the evolutionary path of public discussion: the initial phase focused on technological innovation and potential, the mid-term explored scenario applications such as education, health care, and finance, and the later stage turned to data privacy, security, and social ethics. Keyword analysis shows that terms such as "artificial intelligence" and "technology" run through the entire cycle, while high-frequency words such as "privacy" and "security" in the later period reflect the public's concern about the potential risks of technology. This study provides an in-depth understanding of the social effects of generative artificial intelligence technology and theoretical support for technology optimization and policy governance.

Abstract: [Purpose/Significance] Evaluating service efficiency from a user perspective is crucial for grassroots library to enhance their performance and achieve high-quality development. [Method/Process] Based on the theory of uses and satisfaction, this study first constructed an "Awareness-Utilization-Satisfaction" evaluation framework for the service efficiency of grassroots library from the perspective of users. Then, a concise evaluation indicator system was designed with reference to the existing results. The indicator system was further optimized by collecting users' opinions through questionnaires and interviews. Finally, A pilot survey was carried out to collect data for calculating the indicator values. [Result/Conclusion] The constructed evaluation framework and indicator system highlight the user perspective of service efficiency evaluation, aligning with the current trend of international public library evaluation. They could reflect the true level, advantages and disadvantages of grassroots library, thereby serving as a valuable supplement to China's national Evaluation and Grading Standards for Public Library. If it is implemented by the district/county library or the third party organization every year, it would be conducive to improving the awareness rate, utilization rate and satisfaction of the grassroots library, ultimately improving the overall service efficiency of China's public library, and better meeting the public's expectation for the library circle.

Abstract: [Purpose/Significance] This study aims to measure the influence of scholars objectively and scientifically, identify a group of scholars with rich scientific research achievements and outstanding academic influence in China in the past 10 years, and guide Chinese scholars to publish more outstanding achievements in domestic journals. [Method/Process] The selection and evaluation process primarily employed bibliometric methods. For assessing individual paper impact, we utilized the Paper Citation Standardized Index (PCSI) as the evaluation metric. Author contribution weights were allocated using an optimized harmonic allocation method. The final selection of highly cited scholars was based on calculating the 'Total Author PCSI' derived from each researcher's complete publication record. [Result/Conclusion] Approximately 30,000 individuals were selected as "Top 1% Highly Cited Scholars", and around 89,000 individuals were selected as "Top 5% Highly Cited Scholars". This research achievement has achieved a comprehensive quantitative evaluation of Chinese scholars for the first time, providing a new perspective for the academic community to identify high-end talent teams, which is conducive to stimulating scholars' continuous innovation and encouraging the return of excellent domestic scientific research achievements. The selection results show that in terms of disciplinary distribution, applied economics, education, business administration, public management, and agricultural and forestry economic management have the highest number of highly cited scholars selected in the fields of humanities and social sciences. In the field of technology, disciplines such as clinical medicine, traditional Chinese medicine, electrical engineering, nursing, and civil engineering have the highest number of highly cited scholars selected. In terms of regional distribution, the regions with the highest number of highly cited scholars are Beijing, Jiangsu, Shanghai, Guangdong, and Hubei, which are developed in education and scientific research. In terms of institutional distribution, Tsinghua University, Peking University, Wuhan University, Renmin University of China and Beijing Normal University are the five institutions with the largest number of selected scholars.

Abstract: [Purpose/Significance] Prize Informatics is the applied research direction of Subject Informatics in the field of scientific awards. Research on data mining and knowledge discovery of scientific awards based on Prize Informatics can quantitatively characterize the evolution of scientific innovation activities. [Method/Process] Based on an overview of the development history of international scientific awards and the research value of award data mining analysis, this study further selected three internationally authoritative S&T awards as key analysis subjects, conducting systematic quantitative data mining and measuring the patterns of scientific evolution. [Result/Conclusion] Empirical analysis reveals that scientific awards with domain representativeness generally exhibit scientometric characteristics or patterns, including the centralization of award-winning countries and institutions, the aging of awardees, the award time lag, the trend of innovation peak ages being in the middle and youth, the diversification of awardees' collaboration networks, and the evolution of the impact of scientific discoveries.

Abstract: [Purpose/Significance] In view of the current situation of diversified channels and increasingly expanding scope of knowledge diffusion in academic papers in the new media era, exploring the methods for evaluating the effect of knowledge diffusion in academic papers and its influencing factors is conducive to promoting the effective diffusion of knowledge in academic papers and improving the communication effect. [Method/Process] Organic integration of data generated by formal and informal carriers, construction of a multi-dimensional, multi-level academic paper knowledge diffusion effect evaluation model, to evaluate the effect of knowledge diffusion of academic papers, and as a basis for this, and to explore the impact factors affecting the effect of knowledge diffusion of academic papers, and based on this, put forward to promote the effect of the diffusion of knowledge of academic papers strategies, and take the highly cited papers in the field of biochips as an example for empirical research. [Result/Conclusion] The formula for measuring the knowledge diffusion effect of academic papers can to some extent select academic papers with good knowledge diffusion effect; twelve factors influencing the effect of knowledge diffusion of academic papers are explored and it is found that there are two significant influences of formal carriers(the amount of references and the time of first citation), seven significant influences of informal carriers(such as the time of publication and the h index of the first author), six significant influences of knowledge diffusion of academic papers(such as the time of publication and the number of interdisciplinary disciplines); and proposes four strategies to enhance the effectiveness of knowledge diffusion in academic papers.