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1 – 10 of over 23000Jiang Wu, Jingxuan Cai, Miao Jin and Ke Dong
Although interdisciplinary research is an increasing trend in scientific funding projects, they are suffering from a lower probability of being funded. The purpose of this paper…
Abstract
Purpose
Although interdisciplinary research is an increasing trend in scientific funding projects, they are suffering from a lower probability of being funded. The purpose of this paper is to analyze the current situation on successful case of funding application and provides suggestions on how libraries can expand services to help scientific funding application.
Design/methodology/approach
This paper utilizes the co-occurrences of disciplinary application codes to construct an interdisciplinary knowledge flow network. Based on 193517 sponsored projects of the National Natural Science Foundation of China, the authors study the interdisciplinary flow of knowledge and investigate the evolution of network structure using social network analysis.
Findings
Results show that the interdisciplinary knowledge flow network is not only a small-world network but also a scale-free network. Two main knowledge flow paths across scientific departments exist, showing the heterogeneity of knowledge distributions across scientific disciplines. The authors also find that if two disciplines in the same scientific department both have a wide influence to other disciplines, they are more prone to link together and create a knowledge chain.
Originality/value
Funding consultation currently has not occupied an advisory role either in library services or in the research team. This paper conducts a co-occurrences network analysis of interdisciplinary knowledge flow in scientific funding projects. Considering the complexity of funding application and the advantage of traditional library services on information collection, integration, and utilization, the authors conclude the possibility and necessity of embedding funding consultation in traditional library services.
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Jin Chen, Hao Jiao and Xiaoting Zhao
Based on the knowledge-based view (KBV), the purpose of this study is to explore the impact of scientific knowledge resources on innovative performance, as well as the mechanisms…
Abstract
Purpose
Based on the knowledge-based view (KBV), the purpose of this study is to explore the impact of scientific knowledge resources on innovative performance, as well as the mechanisms, in the science-based innovation practice of biotechnological industry. How scientific knowledge influences the firms’ innovative performance and how external scientific knowledge flows into the firms efficiently are important issues every high-tech firms must consider.
Design/methodology/approach
The authors chose biopharmaceutical firms in China as the sample of this study to empirically test the hypotheses.
Findings
The study introduces a framework combining scientific knowledge resources, technological capabilities and innovative performance and, then, follows with an empirical investigation on firms in Chinese biotechnological industry. Survey data from biopharmaceutical firms in China prove the significantly positive impact of both stocks and flows of scientific knowledge on firms’ innovative performance, as well as the significant mediation effect, of technological capability.
Practical implications
From the results of this study, the authors derive the important managerial implications that talent exchange, purchasing external knowledge directly and establishing R&D alliances are three effective ways leading external scientific knowledge to flow into the firms.
Originality/value
The study finds that technological capability plays an intermediary role between scientific knowledge resource and innovative performance; tacit scientific knowledge stock and R&D alliance influence innovative performance through technological capability totally among them.
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Muhammad Awais Qasim, Saeed Ul Hassan, Naif Radi Aljohani and Miltiadis D. Lytras
The latest developments in Data Science and in advanced Scientometrics set a very challenging context for the analysis and the understanding of human behavior toward the design of…
Abstract
Purpose
The latest developments in Data Science and in advanced Scientometrics set a very challenging context for the analysis and the understanding of human behavior toward the design of value adding library services and sophisticated information systems. The purpose of this paper is to present an innovative research that integrates the creation and the consumption of scientific knowledge across regions. From a human behavior point of view, this is significant since it provides an advanced decision-making layer for bringing together researchers from all over the world.
Design/methodology/approach
More specific in this paper, the authors analyze the production and consumption of scientific knowledge across the regions in an important field of sustainable and renewable energy – using publications and citations data indexed in Scopus. As a case study, the authors select the USA a major producer of scientific publications in the field. At first, the authors identify the topics produced by the USA. Further topics produced by the scientific communities outside the USA that consume the knowledge produced by the USA are identified. The authors generate topics by employing the proposed topic model with distance matrix – an extension of classic latent Dirichlet allocation model.
Findings
The results show that research topics produced by the USA are consumed in different international contexts, interestingly. Consuming the knowledge produced by the USA, Chinese scientific community heavily produces topics related to biomass – to produce renewable energy. In contrast, Japanese scientific community produces topics related to fuel cell – used for the production of hybrid and electronic vehicles. Whereas the Taiwanese scientific community shows remarkable competency in solar cells. Among the European nations, while the German scientific community produces topics related to photovoltaic, the French scientific community covers topics related to Energy Storage and Green Chemistry. The authors believe that such analyses may be helpful in establishing more effective multi-national research collaborations by understating the actual consumption of produced knowledge.
Practical implications
Overall, the study provides a new dimension to comprehensively understand production and consumption of knowledge using scientific literature. From a human behavior analysis view in the context of sophisticated library systems, this is a significant contribution.
Originality/value
The use of advanced Data Mining and computing methods for deriving critical insights for the use of scientific knowledge is a bold action toward the global knowledge society vision.
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Zhichao Fang, Xinhui Guo, Yang Yang, Zhongkai Yang, Qingchun Li, Zhigang Hu and Xianwen Wang
This study aims to analyse the geographical distribution of global research activities and to investigate the knowledge diffusion embodied in scientific papers.
Abstract
Purpose
This study aims to analyse the geographical distribution of global research activities and to investigate the knowledge diffusion embodied in scientific papers.
Design/methodology/approach
The geographical summary of Frontiers articles displays the number of visits and categorizes where the visitors hail from. This study uses the records of 23,798 articles published in 16 Frontiers journals from 2007 to 2015 to analyse the geographical distribution of article visits at both country and city levels. The process of knowledge diffusion is investigated on the basis of the different visiting patterns of new and old papers.
Findings
Most article visits are concentrated around major metropolitan areas and some high-tech clusters. The top “visiting countries” include both developed countries and developing countries, and the USA and China are two major players. Publishing cities dominate article visits for new papers; as time passes, there is diffusion from the publishing cities to a broader area.
Research limitations/implications
The data on visiting for open access articles may be generated from various repositories besides the publishers’ websites; these data are ignored, as they are not significant enough to have much influence. There is also a lack of a basic theory in the data processing of outliers in the data set. In addition, only static results are given in this paper, as the data were collected on one day, for one time. A longer time period is necessary to track the dynamic diffusion process of the observations.
Practical implications
Introduction of usage data will propose a novel way to analyse research activities and track knowledge diffusion.
Social implications
The visiting data of articles offer a new way to investigate research activities at the city level in a detailed and timely manner, for the geographical distribution of research activities and the research resource allocation of a specific country to be explored.
Originality/value
This study measured the research activities of scientific papers by examining the usage data. Compared with previous studies that focused on the geographical distribution of scientific activities using publication data, citation data and even altmetrics data, usage data are at the forefront of this research. Therefore, usage data offer a fresh perspective on methodology, providing more detailed and real-time information.
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Abstract
Purpose
The research on social media-based academic communication has made great progress with the development of the mobile Internet era, and while a large number of research results have emerged, clarifying the topology of the knowledge label network (KLN) in this field and showing the development of its knowledge labels and related concepts is one of the issues that must be faced. This study aims to discuss the aforementioned issue.
Design/methodology/approach
From a bibliometric perspective, 5,217 research papers in this field from CNKI from 2011 to 2021 are selected, and the title and abstract of each paper are subjected to subword processing and topic model analysis, and the extended labels are obtained by taking the merged set with the original keywords, so as to construct a conceptually expanded KLN. At the same time, appropriate time window slicing is performed to observe the temporal evolution of the network topology. Specifically, the basic network topological parameters and the complex modal structure are analyzed empirically to explore the evolution pattern and inner mechanism of the KLN in this domain. In addition, the ARIMA time series prediction model is used to further predict and compare the changing trend of network structure among different disciplines, so as to compare the differences among different disciplines.
Findings
The results show that the degree sequence distribution of the KLN is power-law distributed during the growth process, and it performs better in the mature stage of network development, and the network shows more stable scale-free characteristics. At the same time, the network has the characteristics of “short path and high clustering” throughout the time series, which is a typical small-world network. The KLN consists of a small number of hub nodes occupying the core position of the network, while a large number of label nodes are distributed at the periphery of the network and formed around these hub nodes, and its knowledge expansion pattern has a certain retrospective nature. More knowledge label nodes expand from the center to the periphery and have a gradual and stable trend. In addition, there are certain differences between different disciplines, and the research direction or topic of library and information science (LIS) is more refined and deeper than that of journalism and media and computer science. The LIS discipline has shown better development momentum in this field.
Originality/value
KLN is constructed by using extended labels and empirically analyzed by using network frontier conceptual motifs, which reflects the innovation of the study to a certain extent. In future research, the influence of larger-scale network motifs on the structural features and evolutionary mechanisms of KLNs will be further explored.
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Nicolas van Zeebroeck, Bruno van Pottelsberghe de la Potterie and Dominique Guellec
The purpose of this paper is to look at the sharp increase in academic patenting over the past 20 years and to raise important issues regarding the generation and diffusion of…
Abstract
Purpose
The purpose of this paper is to look at the sharp increase in academic patenting over the past 20 years and to raise important issues regarding the generation and diffusion of academic knowledge. Three key questions may be raised in this respect: What is behind the surge in academic patenting? Does patenting affect the quality and quantity of universities' scientific output? Does the patent system limit the freedom to perform academic research? The present paper seeks to summarize the existing literature on these issues.
Design/methodology/approach
The paper's approach is a review of the recent literature on academic patenting and research use of patented inventions, complemented with critical viewpoints and new data on academic patenting in Europe.
Findings
The evidence suggests that academic patenting has only limited effects on the direction, pace and quality of research. A virtuous cycle seems to characterise the patent‐publication relationship. Secondly, scientific anti‐commons show very little effects on academic researchers so far, limited to a few countries with weak or no research exemption regulations. In summary, the evidence leads the authors to conclude that the benefits of academic patenting on research exceed their potential negative effects.
Originality/value
The paper offers a critical overview of the available evidence on the links between patents and academic research, which may be useful both for individuals unfamiliar with this issue or for those experienced in the field who are looking for a state of the art discussion on recent debates.
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Marcia Siqueira Rapini, Tulio Chiarini, Pablo Bittencourt and Thiago Caliari
The purpose of this paper is to investigate the academic side of university–firm linkages, reporting the results of research (called the “BR Survey”, a primary database) conducted…
Abstract
Purpose
The purpose of this paper is to investigate the academic side of university–firm linkages, reporting the results of research (called the “BR Survey”, a primary database) conducted in Brazil with leaders of research groups that interacted with firms. The authors analysed the answers from 662 research groups (from both universities and research institutes) to investigate whether the intensity of private funds affects the results of the interactions. The main intent is to answer the following question: Is there a difference between funding sources and the type of results achieved by research groups when interacting with firms?
Design/methodology/approach
To verify the impact of some variables on the perception of the main results of university–firm interactions, highlighting the impact of funding sources, the authors present a Logit Model defined with binary dependent variables. The null value is categorized as a “scientific result” (new scientific discoveries and research projects; publications, theses and dissertations; human resources’ and students’ education) and the value 1 is classified as an “innovative/technological result” (new products, artefacts and processes; improvement of industrial products and processes; patents, software, design and spin-off firms).
Findings
The authors found that the modes of interaction (relationship types) and some knowledge transfer channels, besides the number of interactions with firms, have statistically significant coefficients, so their values present different impacts on the results of the interaction. The results suggest that the Brazilian innovation policy towards a more active and entrepreneurial role of universities is fostering innovative/technological results from university–firm interactions.
Originality/value
The originality of the study lies on the results found that given the fact that private funding sources do not affect the conventional mission of Brazilian universities – teaching and research – university research groups should be even more incentivized to search for private funds to carry out their research. This may be a solution to the public fund scarcity and may help in reducing the historical distance between universities and firms in Brazil.
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Li Si and Caiqiang Guo
This paper aims to explore the characteristics of knowledge diffusion in library and information science (LIS) to reveal the impact of knowledge in LIS on other disciplines and…
Abstract
Purpose
This paper aims to explore the characteristics of knowledge diffusion in library and information science (LIS) to reveal the impact of knowledge in LIS on other disciplines and the disciplinary status of LIS.
Design/methodology/approach
Taking the 573 highly cited papers (HCP) of LIS during the years 2000–2019 in Web of Science and 85,638 papers citing them from non-LIS disciplines as the analysis object, this paper analysed the disciplines to which the citing papers belonged regarding the Biglan model, and the topics and their characteristics of the citing disciplines using latent Dirichlet allocation topic clustering.
Findings
The results showed that the knowledge in LIS was exported to multiple disciplines and topics. (1) Citations from other disciplines were overall increasing, and the main citing disciplines, mainly from applied science disciplines, were medicine, computer science, management, economics, education, sociology, psychology, journalism and communication, earth science, engineering, biology, political science, chemistry and agronomy. However, those disciplines had fewer citations to LIS during for the years from 2000 to 2004, with rapid growth in the next three time periods. (2) The citing papers had various topics and showed an increasing trend in quantity. Moreover, topics of different disciplines from 2000 to 2019 had various characteristics.
Originality/value
From the perspective of discipline and topic, this study analyses papers citing the HCP of LIS from non-LIS disciplines, revealing the impact of knowledge in LIS on other disciplines.
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The creation of partnerships among companies, governments and universities can improve innovation and the technological development of institutions. As innovation is a…
Abstract
Purpose
The creation of partnerships among companies, governments and universities can improve innovation and the technological development of institutions. As innovation is a multidimensional concept, more nuanced research is needed to identify, which dimensions of innovation firms should focus on them. This paper aims to investigate the influence of attitude to knowledge sharing (KS) factors, learning organization and creativity on the innovation in marketing biotechnology firms. So, the purpose of this paper is to examine the influence of learning organization, attitude to KS, creativity, information technology (IT) acceptance, KS culture and trust on the innovation by presenting a new framework and a model.
Design/methodology/approach
The structural equation modeling technique is used to examine the reliability and validity of the measurement of the provided model. Data were collected by questionnaires. A case study was carried out in 100 marketing biotechnology firms in the Tehran of Iran. In this paper, smart partial least squares 2.0 was used to evaluate the measurement.
Findings
The result showed that all hypotheses of this research are proved. Also, the results have shown that the attitude to KS, learning organization and creativity affect the innovation in marketing biotechnology firms. As an overall result, the managers should create an enhanced knowledge bank to increase and encourage the KS among employees, thus creating and enhancing innovation in organizations. Also, the results have shown that marketing shortages were mostly connected to access to human resources with related management and marketing experiences and were mainly felt by firms introducing discontinuous novelties.
Research limitations/implications
The main limitation of this paper is that the sample was retrieved from 384 employees in 100 marketing biotechnology institutions. The larger number of samples can yield better results. Next, even though the respondents’ profiles indicated a high probability of them being cognizant of their organization’s efforts in inter-firm KS, learning, creativity and innovation with three or four respondent from each organization answering all questions for such complicated issues always poses the risk of measurement bias and inaccuracy. An ideal situation for future studies would be to pool and compare multiple respondents from the same organization to obtain a more comprehensive firm-level measurement. In addition, this study only surveyed and sampled biotech marketing companies in Iran. Therefore, the model should be examined using samples from other countries because the varieties of culture could have an impact on employee apprehensions. So, future researchers can test the measurement instrument in different countries and/or conduct large multi-national comparisons.
Practical implications
Successful marketing strategies depend very much on an organization’s ability to implement them. This paper provides an excellent study about the future of pharmaceutical KS and shows that innovation paths are linked with local and temporary occasions. Also, the results of this study provide valuable information in formulating marketing biotechnology programs. It is essential to study both economics and innovation for students and academics. The results also suggested that policies to increase economic research will also increase innovation. They could contain the consolidation of the legal framework and institutional resources for public organizations to protect intellectual properties. In general, for successful implementation of strategies an organization has to integrate KS, processes and IT.
Social implications
The paper identifies the most critical factors in the innovation process of enterprizes in marketing biotechnology institutions. The implications derived from this study can shed new light upon policy-making both at the level of governance and in the management practice in Iran’s marketing biotechnology industry. Also, the paper increases understanding of the innovation process in Iran marketing biotechnology companies. This study contributes to innovating management research by offering a set of legal and dependable operational measures. These measures can help academics in theory analysis.
Originality/value
This is the first attempt examining the role of the learning organization, creativity and attitude to KS as a key contingency factor in innovation in Iran marketing biotechnology firms, an issue whose understanding is still developing in the literature. The paper adds to the body of knowledge by allowing better understanding the attitude toward KS and the influence of KS, learning and creativity on innovation. Previous studies did not investigate the KS in marketing biotechnology firms deeply, but, the present paper permits a more complete view on this topic. The guidelines are provided for the top directors to promote KS and innovation according to the research results. From a managerial point of view some critical elements, which are important for the success of KS and application of these elements for progressing institutional guidelines to develop KS, are considered. Theoretical foundations can be extracted from this study, and these foundations can be implemented to investigate connection in KS elements such as feasibilities processes and institution initiative abilities. So, the results could be suitable to managers when arranging an organization and shaping its culture to improve knowledge management.
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Jorge Ramón D’Acosta Rivera, Rafael Ricardo Jacomossi, Alcides Barrichello and Rogerio Scabim Morano
The purpose of this paper is to analyze patterns and trends of articles that present the use of structural equation modeling (SEM) and that were published in several Brazilian…
Abstract
Purpose
The purpose of this paper is to analyze patterns and trends of articles that present the use of structural equation modeling (SEM) and that were published in several Brazilian journals. In addition, this paper maps the institutions where the authors of the identified articles are affiliated, and discusses aspects of searching the articles in journals’ archives and other scientific databases.
Design/methodology/approach
The work used bibliometrics, which is one of the forms of evaluation and measurement of information flows in scientific knowledge, using mathematical and statistical methods.
Findings
The study showed an exponential growth in using SEM in several areas in recent years, with predominance in marketing. Most of the publications were produced by authors from institutions such as USP, FGV and UFRGS, but most authors published only one article using SEM. Almost all published articles used one of the three most common software, especially AMOS®. Surprisingly, many articles did not mention the software used, indicating methodological flaw.
Practical implications
Weaknesses were found regarding the search for articles in the different sources used, indicating that, for literature reviews, the research should be conducted in several databases in a complementary way and not alternatively. This fact becomes critical especially when expressions in languages other than Portuguese were used. This situation suggests an aggravating lack of visibility for the Brazilian scientific community since the articles are less likely to be found.
Originality/value
The paper shows that among the various techniques of multivariate data analysis used in the field of administration, SEM has gained prominence being operationalized using specific software.
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