Search results

The purpose of this paper is to clarify how university‐industry (U‐I) collaboration differs by technology fields in Japan.

An analysis of the research resource allocation in the Japanese national universities in the Japanese national innovation system is followed by the analysis of U‐I collaboration by technology fields. The fields analyzed are life science, information and communication technology (ICT), environment science, nanotechnology and material science, which have been designated as strategically important fields by the Second Japanese Science and Technology Basic Plan. The analysis was conducted in a quantitative way using government data of R&D expenditure, researchers, patent application, joint research, contract research and university spin‐offs.

Some characteristics of U‐I collaboration have been quantitatively found by technology fields. Though the national universities occupy large R&D expenditure shares in life science and nanotechnology/material science in the Japanese national innovation system, their joint research and contract research are fairly active in environment science as well as in life science and in nanotechnology/material science. For university spin‐offs, the national universities are active in life science and ICT.

This paper quantitatively clarifies U‐I collaboration by technology fields showing relative importance of U‐I collaboration by technology fields. The results provide information input to policy makers when they formulate policies to promote U‐I collaboration by technology fields and to corporate managers when they make U‐I collaboration strategies by technology fields as a part of open innovation strategies.

The planning and construction of innovative university science and technology parks are facilitated on the basis of urban planning reconstruction, and the sustainable development of our country is the main basis for the implementation of the innovation plan and future design of university science and technology parks. However, some aspects of the transformation of a city have impeded the planning and development of university science parks. In order to solve this problem, in this study, the overall planning and successful establishment of science and technology parks in well-known universities were analyzed; and “Cambridge Future” was selected as the practical example and basis for the construction of innovative university science and technology parks; and then CATIC Science City in Nanjing was used as the object of empirical analysis. In addition, the construction of these parks in universities was evaluated through the case analysis and the excellent design strategies and results, and the planning model and construction concept of these parks were proposed after the contradiction between the transition stage of cities and the design of university science parks was resolved.

Strengthening the combination of technology and finance can significantly promote the development of economy and society. Urbanization is a crucial standard to measure the economic and social development of a country and region, and urban regional planning based on science and technology finance has always been the focus of both domestic and foreign research institutions. Thus, this paper takes Mianyang, the first city of science and technology, as the object of research, and from the angle of the development process of Mianyang, investigates the three stages of the construction and development of this science and technology city. This study analyzes the characteristics of regional planning of Mianyang City and sums up the idea of relying on the old city to build another new district, which boosts the development of science and technology as well as the economy. From two specific angles (i.e., urban spatial function region planning and urban and rural planning), this paper thoroughly studies a multiscale planning scheme of Mianyang’s urban area in recent years by researching the local policy, system, finance, and society. Empirical measurement proves that reasonable planning and construction of the science and technology city Mianyang can accelerate the development process of the western region, effectively promoting the economic development of the surrounding areas of Sichuan and remarkably improving the overall quality of the regional economy of both Chongqing and Sichuan Provinces.

This study summarizes the overall situation of the resources of the national science and technology innovation platform in the railway industry, including the distribution of platform types, supporting institutions, construction sites, professional fields, etc., to provide a reference for the further improvement and optimization of the national science and technology innovation platform system in the railway industry.

Through literature review, field investigation, expert consultation and other methods, this paper systematically investigates and analyzes the development status of the national science and technology innovation platform in the railway industry.

Taking the national science and technology innovation platform of the railway industry as the research object, this paper investigates and analyzes the construction, development and distribution of the national science and technology innovation platform of railway industry over the years. And the National Engineering Research Center of High-speed Railway and Urban Rail Transit System Technology was taken as an example to introduce its operation effect.

China Railway has made great development achievements, with the construction and development of national science and technology innovation platform in the railway industry. In recent years, a large number of national science and technology innovation platforms have been built in the railway industry, which play an important role in railway technological innovation, standard setting and commodification, and provide strong support for railway technology development.

The rapid development of information technology, epitomized by AIGC and the metaverse, presents unprecedented challenges to techno-ethics, exposing society to significant risks and uncertainties. A systematic investigation and discussion of the construction of techno-ethical order become crucial under the paradigm of risk society theory. The selection of conditions and pathways for constructing a techno-ethical order under the risk society theory paradigm becomes an unavoidable and vital issue.

Drawing on risk society theory, this study employs scientometrics and qualitative comparative analysis (QCA) to empirically analyze the key factors and conditional pathways in the construction of techno-ethical order. Initially, a quantitative analysis is conducted on 1,490 thematic literature retrieved from CNKI and WoS to identify the hot topics and core concepts in techno-ethical research. Subsequently, QCA configuration analysis is applied to calculate eight evaluation indicators and their weights from the perspectives of government, society and individuals. Finally, the study explores the mechanisms of the impact of these indicators’ weights on the construction of techno-ethical order.

The analysis of factor weights and pathways indicates that the selection of pathways for constructing techno-ethical order is influenced both by the inherent development patterns of technology and societal systems and cultural values. Literature metrics analysis reveals an overall trend of sustained growth in techno-ethical research, indicating an unprecedented prosperity in this field. Alongside technological advancements, keywords related to “artificial intelligence” play a crucial role in current techno-ethical research. Configuration analysis demonstrates that conditional variables from the dimensions of government, society and individuals form a configuration pathway, influencing and synergistically impacting the overall level of techno-ethical order construction. Attention should be given to the mutual constraints and synergistic effects of factors related to technological development, societal systems and cultural values.

This study, grounded in the risk society theory paradigm, quantitatively explores the key factors and pathways of techno-ethical order construction in academic texts, expanding new perspectives, providing novel insights, establishing innovative methodologies and extending new boundaries in the field. Further enrichment of the dataset and in-depth discussions are warranted for continued advancement.

Science and technology parks (STPs) and areas of innovation (AOIs), among the entrepreneurial ecosystem’s main actors, significantly contribute to economic development derived from technology development and commercialization worldwide. In light of this, the study aims to identify the megatrends in this domain, using bibliometric analysis and co-citation clustering.

For this purpose, all the relevant documents on the Web of Science, as a citation database, were retrieved and analyzed. The study findings helped provide detailed information about the lead authors, the most influential countries, highly cited institutions and the top-used keywords in this field. Besides, the trend of using the given keywords over time and the megatrends in this line were established.

Upon clustering the articles, 11 clusters were identified, including 6 dense clusters, STPs, technology business incubators (TBIs), university STPs, university–industry collaboration, innovation and startup services and triple/quadruple helix, which were then completely analyzed to develop a big picture for future research.

Using bibliometric coupling and co-citation clustering in the field of science and technology parks and areas of innovation for making a big picture for directing future research.

The role of social science in the curriculum of technical institutions of higher learning has always represented a series of tradeoff challenges and opportunities. Recently, issues to be addressed by those developing curricula for this audience have received increased attention. The difficulties that social and physical scientists have had collaborating on research projects have also been a matter of increasing attention and concern. Hence, to enrich this discussion we will offer a historical case study covering a 35-year (so far) experiment at Worcester Polytechnic Institute (WPI) in which both organizational and educational issues had to be addressed as faculty members of both backgrounds worked with technical students on educational projects dealing with social issues.

The online Question and Answer community is full of a large number of science and technology topics, the discussion and dissemination of which play an important role in promoting the popularization of new technologies and cultivating public enthusiasm for science. However, the spread of false information and rumors weakens the community's positive effect, making the community more difficult for people to obtain useful information on such topics. Research on the influencing factors and governance of the spread of false information on science and technology topics has become the key to the spread of popular science.

Therefore, this paper uses the Elaboration Likelihood Model as the theoretical framework to examine the role of the factors influencing the spread of false information on science and technology topics in Zhihu community on the information persuasion and the impact on public behavior attitude from the core path and the edge path. This paper compiles a crawler program to capture 12,893 response information under the “Metaverse” topic in Zhihu community as an empirical sample and uses text mining and conducts visual correlation analysis to explore the key factors affecting the persuasive transmission path of information on science and technology topics.

The research finds that the content specialization, content consistency and content coherence of science and technology topics affect personal judgment from the aspect of information content through the core path and have a positive correlation with information persuasion; the number of comments, the length of the text and the publishing authors' influence from the edge image characteristics through the edge path are positively correlated with the information persuasion. Then, from the perspective of topic platform, government and topic participants, this paper puts forward a general plan to improve the information persuasion of science and technology topics so as to deal with false information.

Compared with the small data set of the traditional questionnaire survey, the research based on community empirical big data is more reliable. The model takes into account the attitude and behavior of users and is more suitable for the research on the transmission path of scientific and technological information in the internet era. This research provides a direction for analyzing the text characteristics and development trends of information in the field of science and technology and is conducive to promoting the optimization of the network information environment and building a good ecology, with the spread of rumors about science and technology topics curbed and the governance of false information strengthened.

The purpose of this paper is to cluster and analyse the level of agricultural science and technology in China’s provinces by using grey clustering model, to have an overall understanding of the current situation of agricultural science and technology development in these provinces, and to offer a reference for decision-making departments to draw up agricultural science and technology development plans.

First of all, the grey clustering assessment is used to evaluate the clustering of agricultural science and technology level in China’s provinces in 2011, 2013 and 2015. Also a comparative static analysis is made. Then, based on the prediction data of GM (1,1) model, the provincial agricultural science and technology levels in 2017 and 2019 are analysed by grey clustering. Finally, some suggestions are put forward, such as adjusting the allocation of agricultural science and technology resources and providing policy preferences to backward areas, so as to promote the coordinated development of agricultural science and technology in China.

The development of agricultural science and technology in various provinces and regions of the authors’ country is unbalanced, with a big gap of agricultural and technology level between different provinces. What’s more, the level of agricultural science and technology in remote areas has been developing slowly, but it has been lagging behind. Through the grey clustering analysis of the provincial agricultural science and technology level in 2017 and 2019, it is concluded that the level of agricultural science and technology will be promoted as a whole, but the gap of agricultural science and technology level between different provinces and cities will be enlarged.

This paper comprehensively studies the current situation and future development trends of agricultural science and technology in China’s provinces in recent years, and preliminarily analyses the reasons for the transformation of agricultural science and technology level, however, with no further inspection. Related research should be made for further study.

This paper will provide overall understanding of the current situation of agricultural science and technology development in China’s provinces and cities, and put forward relevant suggestions for the future development of agricultural science and technology in China’s provinces and cities, and provide references for decision-making departments to draw up agricultural science and technology development plans.

For the first time, the grey clustering method is used to the research of agricultural science and technology level in the province. It analyses and evaluates the past and present situation and predicts the future development trend of provincial agricultural science and technology level by the grey clustering analysis method, which is a complete research.