Green infrastructure can effectively coordinate environmental, social and economic development, and has become one of the important strategies to achieve sustainable development. This study used CiteSpace and VOSviewer to analyze 2194 papers in the field of green infrastructure published from 1995 to 2019 in the Web of Science database using the bibliometrics and visualization methods. Results demonstrate a substantial increase in the number of studies on green infrastructure in recent years, with European and American countries leading the study of green infrastructure. Landscape and Urban Planning, Urban Forestry & Urban Greening, and Journal of Environmental Management are the first three cited journals in green infrastructure study. By studying co-cited literature, the study of green infrastructure has been found to involve the relationship between green infrastructure and ecosystem and human health, construction, evaluation and management of green infrastructure, and analysis of a special aspect of green infrastructure, among others. Clustering analysis results of green infrastructure keywords indicate that the existing studies have concentrated on green infrastructure in stormwater management, ecosystem services, biodiversity protection, and climate change. This study provides references for green infrastructure for sustainable environment development.

The prime contribution of current research entails the explanation of role of artificial intelligence based human resource management function to determine the employer reputation among pharmaceutical industry of Indonesia. The study intends to examine the empirically investigation the role and impact of artificial intelligence-based recruitment and artificial intelligence-based quality to determine the employer reputation with mediating role of artificial intelligence adoption. The study contributes to the body of knowledge and claims to be novel in explaining the AI based HR function to explain the phenomenon of employer reputation. The study examined the empirical investigation between AI based recruitment and AI based quality to influence the AI adoption that further predicts the phenomenon of employer reputation. The study was conducted on pharmaceutical industry of Indonesia and convenience sampling was used for data collected and Smart-PLS was utilized for data analysis. The study found that AI based recruitment and quality significantly influences the AI adoption and further it influences the employer reputation. The mediation role of artificial intelligence adoption is significant where it is found that artificial intelligence mediates the relationship between artificial intelligence recruitment and employer reputation, with similar significant mediation role between artificial intelligence quality and employer reputation.

During the past few decades, globalization has dramatically changed the context of competitiveness around the world. Considering the role of competitiveness in the development of the digital economy, this paper aims to highlight the role of innovation, foreign direct investment (FDI), and human capital in supporting competitive European economies. The research hypothesis is that FDI, innovation, and human capital contribute to competitiveness growth. The paper extends the Cobb-Douglas function by including other competitiveness factors in a panel data framework based on the EU-28 countries in the period 2004-2018. The results indicate that GDP per capita variation is explained by human and physical capital, FDI, and R&D expenditure. Human capital plays a crucial role in economic development due to the innovation skills of individuals, which improve the productivity of these factors. Capital formation also makes a positive contribution to economic growth. The empirical evidence suggests that the changes in the GDP per capita are explained by modifications in the labor force and capital formation, as is described in the traditional framework of the Cobb-Douglas function. R&D expenditure and FDI stock, however, also play a significant role. Moreover, human capital could determine the adoption of external technology by absorbing new equipment and ideas. On the other hand, the education index and capital formation showed a positive impact on GCI.