Pei-Hsing Huang, Ming-Yue Huang, Hong-Yi Li and Yi-Chen Chung
Extensive atomistic simulations of the mechanical deformation of defective nanowires (NWs) were performed using the embedded-atom molecular dynamics modeling approach. The…
Abstract
Extensive atomistic simulations of the mechanical deformation of defective nanowires (NWs) were performed using the embedded-atom molecular dynamics modeling approach. The investigation focuses on the coupled effects of various vacancy cluster (VC) defects, operation temperature, and wire cross-sectional area on the mechanical properties and plastic deformations of defective NWs. The stress-strain behaviors show that the elastic modulus is independent of the vacancy cluster defects. Quasi-linear decreasing Young's moduli were observed with increasing operation temperature. For a given operation temperature, NW Young's modulus increased with increasing NW size.
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Hong-Yi Chen, Chun-Huei Hsu and Sharon S. Yang
This study develops an environment, social, and governance (ESG) momentum strategy by combining information about ESG scores and the momentum effect. This study, subsequently…
Abstract
This study develops an environment, social, and governance (ESG) momentum strategy by combining information about ESG scores and the momentum effect. This study, subsequently, applies the ESG momentum strategy to Taiwanese and Japanese stock markets and investigates the performance of the ESG momentum strategy in each market. Detailed comparisons of the ESG scores and ESG momentum performance between the two markets are conducted. The empirical results show that the ESG momentum strategy can obtain enhanced profits in the Taiwanese market, while the ESG momentum strategy cannot lead to substantial profits in the Japanese market. In addition, the ESG momentum effect in the Taiwanese market can last for three years after portfolio formation. In the Japanese market, the ESG contrarian strategy may deliver better profits than the ESG momentum strategy.
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Ilker Murat Ar, Coşkun Hamzaçebi and Birdogan Baki
The purpose of this paper is to explore the teaching performance of Turkish Business Schools (BSs). It also aims to determine the degree of importance of factors affecting the…
Abstract
Purpose
The purpose of this paper is to explore the teaching performance of Turkish Business Schools (BSs). It also aims to determine the degree of importance of factors affecting the teaching performance of Turkish BSs. The final objective is to test the functionality and applicability of the model.
Design/methodology/approach
This study presents a ranking approach based on grey relational analysis (GRA). While evaluating the BSs, data were collected for 19 Turkish BSs in terms of five main criteria such as OSS score; Number of faculty members; Number of students per faculty member; the mean of KPSS score; and the standard deviation of KPSS score. In the analysis, three weighted methods were integrated into the GRA in order to weight the criteria.
Findings
According to this result, the main factor influencing the teaching performance of Turkish BSs is the OSS score. This study can also confirm that the results obtained from the ranking orders using the proposed methods are reliable and these results can help decision makers to identify the best alternative.
Research limitations/implications
In order to provide benchmarking data more effectively, in future, it would be helpful to collect data from both foundation and state universities with a research focus. Moreover, as an interesting suggestion for future research, fuzzy environment may be further integrated into the framework of GRA.
Originality/value
In contrast to prior research, this study makes comparisons based on the scores of national exams instead of different bibliometric indicators. Furthermore, there are no studies which have used GRA and these weighted methods as combined in education sector.