Human behavior analysis in the production and consumption of scientific knowledge across regions

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.