catena-Poly[[hexa­kis(μ-4-methyl­benzoato)-κ2 O,O′;κ15 O,O′:O-trieuropium(III)]-tris­(μ-4-methyl­benzoato)-κ2 O,O′;κ6 O,O′:O]

The title europium(III) carboxyl­ate, [Eu3(C8H7O2)9]n, has three independent Eu atoms, two of which are eight-coordinate in a square-anti­prismatic coordination geometry, whereas the third is nine-coordinate in a tricapped trigonal-prismatic coordination geometry. The metal atoms are linked by two bidentate and seven tridentate methyl­benzoate groups into a linear chain running along the b-axis direction

Academic Experience, Overseas Experience and Chinese Scholars’ Propensity Towards International Collaboration

Taking the Chinese inland scholars’ co-authorships in the 10 leading international academic journals in the field of technological innovation management from 1990 to 2016 as the sample, the article empirically investigates factors which influence Chinese inland scholars’ propensity towards international collaboration with Logistic regression model. The empirical results show that Chinese inland scholars who have overseas education background show higher propensity towards international collaboration. However, both the overseas academic exchange experience and academic experience have no significant impacts on the propensity towards international collaboration. Keywords: Propensity towards international collaboration; Academic experience; Overseas experienc

Patent-based Measurements on Technological Convergence and Competitor Identification: The Case of Semiconductor Industry

Technological convergence promotes the formation and development of emerging industries associated with new opportunities and growth. It will be helpful for firms to understand the emerging trends of technology convergence and establish competitive strategy by identifying competitors. While previous studies mainly measure technological convergence with co-occurrence method on the technology level, relatively few studies investigate the measurement of technological convergence with firm-level data. In addition, how to identify competitors by firms in the background of technological convergence has been neglected by the extant studies. This paper takes the granted patent data of global top 10 semiconductor companies from 1994 to 2013 as the object and measures the degree and trend of technological convergence based on technology similarity. Furthermore the Multidimensional Scaling analysis with inter-firm technological similarity matrix is adopted to identify the competitors in the semiconductor industry. The main contribution of this research is that it proposes a novel method to measure technology convergence. The method is different from pervious literature in that it measures technology convergence and knowledge relatedness from a micro-level using patent data in semiconductor industry. In addition, the patent similarity matrix can be used as an input for competitor identification with Multidimensional Scaling analysis. Keywords: Technological convergence; Competitor Identification; Multidimensional Scaling analysis; Semiconductor industr