Search results

Study on knowledge-based systems for scientific publications is growing very broadly. However, most of these studies do not explicitly discuss the knowledge management (KM) component as knowledge management system (KMS) implementation. This background causes academic institutions to face challenges in developing KMS to support scholarly publication cycle (SPC). Therefore, this study aims to develop a new KMS conceptual model, Identify critical components and provide research gap opportunities for future KM studies on SPC.

This study used a systematic literature review (SLR) method with the procedure from Kitchenham et al. Then, the SLR results are compiled into a conceptual model design based on a framework on KM foundations and KM solutions. Finally, the model design was validated through interviews with related field experts.

The KMS for SPC focuses on the discovery, sharing and application of knowledge. The majority of KMS use recommendation systems technology with content-based filtering and collaborative filtering personalization approaches. The characteristics data used in KMS for SPC are structured and unstructured. Metadata and article abstracts are considered sufficiently representative of the entire article content to be used as a search tool and can provide recommendations. The KMS model for SPC has layers of KM infrastructure, processes, systems, strategies, outputs and outcomes.

This study has limitations in discussing tacit knowledge. In contrast, tacit knowledge for SPC is essential for scientific publication performance. The tacit knowledge includes experience in searching, writing, submitting, publishing and disseminating scientific publications. Tacit knowledge plays a vital role in the development of knowledge sharing system (KSS) and KCS. Therefore, KSS and KCS for SPC are still very challenging to be researched in the future. KMS opportunities that might be developed further are lessons learned databases and interactive forums that capture tacit knowledge about SPC. Future work potential could identify other types of KMS in academia and focus more on SPC.

This study proposes a novel comprehensive KMS model to support scientific publication performance. This model has a critical path as a KMS implementation solution for SPC. This model proposes and recommends appropriate components for SPC requirements (KM processes, technology, methods/techniques and data). This study also proposes novel research gaps as KMS research opportunities for SPC in the future.

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.

The authors chose biopharmaceutical firms in China as the sample of this study to empirically test the hypotheses.

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.

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.

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.

George Herbert Mead is an exemplary figure in sociology, and is central to sociological conceptions of the self and social action. However, other important aspects of Mead's thought have been largely neglected, including his remarkably sophisticated and sociological theory of scientific knowledge. Traditional accounts of the sociology of science identify Thomas Kuhn, and his predecessor, Ludwig Fleck, as pioneers in the social analysis of scientific knowledge, allowing the modern constructionist school of science studies to emerge. This article challenges this history by showing Mead's awareness of the sociological aspects of scientific knowledge in papers that predate both Kuhn and Fleck. Finally, Mead's position attempts to avoid sociological relativism, and offers instead a pragmatist foundation to approach the study of science.

Purpose – First, to look closely and critically at Hayek's treatment of science in The Sensory Order. This provides hints as to the difficulties in maintaining a theory of scientific knowledge as a selective sum of the identifiable contributions of individual scientists. Second, to generalize from Hayek's theory of how the brain generates an individual's knowledge to a theory of how science generates scientific knowledge, knowledge that is not a simple sum of individual contributions. Third, to apply this picture of science to understanding developments in postpositivist philosophy and post-Mertonian sociology of science.

Approach – We provide a short survey of the conventional understanding of science and scientific knowledge, including that of Hayek in The Sensory Order. We examine in more depth the ways in which developments in postpositivist philosophy and sociology have transformed our understanding of science. We describe how, by analogy with Hayek's theory of the brain, science can be seen as an adaptive system that adjusts to its environment by classifying the phenomena in that environment to which it is sensitive, and we apply this systemic picture of science with a view to integrating much of the more moderate content of recent philosophy and sociology of science.

Scientific knowledge has been a topic of interest for scholars for a long time; however, its impact on scientific decision- making and determining trust is severely underresearched. This study is aimed at determining the relationship between cultural and social attitudes and scientific knowledge and the impact of knowledge on trust in scientists in general.

The authors conducted a face-to-face survey, drawing from a nationally representative sample of the adult Serbian population (N = 1,451). The authors tested the following parameters: a. the levels of scientific knowledge within the Serbian population; b. social and cultural values as predictors of scientific knowledge and c. the effects of scientific knowledge on trust in scientists.

The analysis shows a moderate level of scientific knowledge, predominantly positive public attitudes towards scientists. The authors found that scientific knowledge indeed predicts trust in scientists on various issues, and so do cultural and social worldviews, both directly and even more significantly through the mediation of scientific knowledge.

This is the first attempt to assess the level of scientific knowledge among the Serbian public and evaluate its, as well as other factors', influence on public attitudes toward scientists in a time when trusting experts is of great relevance.

Scientific inquiry is a leading methodology that promotes science process skills to acquire scientific knowledge. There is evidence that primary school teachers have difficulties introducing inquiry-based activities in their classrooms. Hence, adequate teacher instruction in inquiry methodology is important to apply inquiry-based activities in school science lessons. This work aims to analyse if pre-service teachers succeeded in developing scientific knowledge and scientific skills through the application of an inquiry laboratory activity.

This article is presented as a case study developed in a group of 82 pre-service teachers. This research methodology involved qualitative and quantitative data.

The results demonstrate that pre-service teachers could improve their scientific skills and knowledge through inquiry-based laboratory activity.

The present study assesses not only the scientific knowledge but also if students can acquire scientific skills by doing the inquiry laboratory activity and if these skills are related to low-order cognitive skills or high-order cognitive skills.

Scientific collaborations represent informal external ties that together with formal R&D alliances constitute a multichannel knowledge sourcing network in science-based industries. Although such multichannel knowledge sourcing benefits firms by providing more thorough access to external sources, it also entails potentially significant redundancies worthy of consideration. This paper aims to take a step by first verifying their existence, followed by an examination of key contingencies determining the extent of these redundancies, i.e. firm absorptive capacity, balanced utilization of ties and firm size.

This is an empirical study that uses scientific collaborations and R&D alliances of US pharmaceutical companies to test the proposed hypotheses.

This paper verifies the existence of multichannel knowledge sourcing redundancies, followed by an examination of key contingencies determining the extent of these redundancies, i.e. firm absorptive capacity, balanced utilization of ties and firm size.

To the knowledge, this is a first attempt at clarifying redundancies in innovative knowledge sourcing and their implications for firm innovation performance.

Las colaboraciones científicas representan vínculos externos informales que, junto con las alianzas formales de I + D, constituyen una red de abastecimiento de conocimiento multicanal en industrias basadas en la ciencia. Aunque esta fuente de conocimiento multicanal beneficia a las empresas al proporcionar un acceso más completo a fuentes externas, también implica impotantes potencailes redundancias que merecen consideración. Dichas redundancias tienen su origen en conocimientos específicos que se superponen y en los requisitos de recursos clave similares, incluido el presupuesto y prsonal de investigación. A pesar de su importancia, la literatura no ha ofrecido una descripción completa de las posibles causas y contingencias de estas redundancias. El presente estudio da un paso en esta dirección al verificar primero su existencia, seguido de un estudio de las contingencias clave que determinan el alcance de estas redundancias.

este es un artículo empírico que utiliza el contexto de la industria farmacéutica para probar la interacción entre las colaboraciones científicas y las alianzas de I + D como impulsores del desempeño de innovación de una empresa farmacéutica que se manifiesta en la productividad de sus patentes.

El análisis empírico revela que el efecto de las colaboraciones científicas y las alianzas de I + D es de hecho parcialmente sustitutivo o redundante, y que dicha redundancia es mayor para las empresas con baja capacidad de absorción, utilización desequilibrada de los dos tipos de vínculos externos y su tamaño.

Este es uno de los primeros intentos empíricos de explorar los efectos sustitutivos de las colaboraciones científicas y las alianzas de I + D a nivel de empresa. La incorporación de contingencias clave como la capacidad de absorción, la utilización equilibrada de las relaciones y el tamaño de la empresa mejoran aún más la novedad y originalidad de nuestra investigación.

Colaborações científicas representam links externos informais que, juntamente com alianças formais de P&D, constituem uma rede de fornecimento de conhecimento multicanal em indústrias baseadas na ciência. Embora essa fonte multicanal de conhecimento beneficie as empresas ao fornecer um acesso mais completo a fontes externas, ela também envolve redundâncias potenciais significativas que merecem consideração. Essas redundâncias resultam da sobreposição de conhecimentos específicos e requisitos de recursos chave semelhantes, incluindo orçamento e pessoal de pesquisa. Apesar de sua importância, a literatura não fornece uma descrição completa das possíveis causas e contingências dessas redundâncias. O presente estudo dá um passo nessa direção, primeiro verificando sua existência, seguido por um estudo das contingências-chave que determinam a extensão dessas redundâncias.

Este é um artigo empírico que usa o contexto da indústria farmacêutica para testar a interação entre colaborações científicas e alianças de P&D como impulsionadores do desempenho inovador de uma empresa farmacêutica manifestada na produtividade de suas patentes.

A análise empírica revela que o efeito das colaborações científicas e alianças de P&D é de fato parcialmente substituto ou redundante, e que a referida redundância é maior para empresas com baixa capacidade de absorção, utilização desequilibrada dos dois tipos de links externos e seu tamanho.

esta é uma das primeiras tentativas empíricas de explorar os efeitos substitutos de colaborações científicas e parcerias de P&D no nível da empresa. Incorporar contingências importantes, como capacidade de absorção, utilização equilibrada de relacionamentos e tamanho da empresa, aumenta ainda mais a novidade e originalidade de nossa pesquisa.

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.

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.

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.

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.

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.

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.

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.

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.

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.