ABSTRACT
In order to counteract the COVID-19 pandemic by wearing face masks, we examine washable fabric-based triboelectric nanogenerators (FTENGs). We applied the flash-spun nonwoven fabric (FS fabric) into the FTENGs, comparing the melt-blown nonwoven fabric (MB fabric) based FTENGs, which is conventionally studied in the field of energy harvesting. For reusability, all our proposed FTENGs are systematically investigated by controlling the washing conditions. After washing, the degradation ratio of the obtained output voltage is found to be only 12.5% for FS FTENGs, compared to the ratio of about 50% for the typical MB FTENGs. A rather small degradation ratio for FS fabric cases has resulted from less changed fabric structure after washing due to more dense fabric nature. Additionally, in order to improve the electrical characteristics of FS FTENGs. Note that the output voltage of FTENGs exhibits as much as 600 V.
ABSTRACT
The purpose of this study is to comprehensively review previous studies and discover implications for the sustainable growth engines of middle market enterprise (MME) of Korea using meta-analysis. Since Germany’s hidden champion companies are considered as benchmarking targets because their economic environment and size are similar to those of Korean MMEs, a meta-analysis was conducted on the previous studies of them. As a result of integrating the effect sizes of input and output factors according to the process of the Program Logic model from the viewpoint of dynamic capabilities, 198 in Germany and 229 in Korea were derived. It was found that, unlike Korean companies, the number of skilled workers, labor productivity, CEO experience, and Innovation activities within the firm had a significant impact on Germany’s hidden champion companies. In addition, industry and region-oriented innovation networks and family businesses were identified as important variables. Meta-analysis collects a large number of individual studies in order to integrate the results and statistically assess the data. As a result, it will be used as basic data for developing models for academic research in the future. In addition, it will provide implications for sectors in which Korean MMEs should concentrate their efforts in order to create an innovative ecosystem.