The Metaverse’s virtual world is used in various industries and is expected to continue to grow in the future. In addition, the Metaverse is a new type of society that integrates various new technologies, and NFT products play an essential role. Therefore, NFT product characteristics and industry trends should be assessed to revitalize the NFT market. To this end, this study confirms the influence relationship between social presence and NFT product characteristics in the Metaverse environment and examines the impact of each characteristic on consumer satisfaction and continued engagement intention to NFT product. Statistical analysis such as exploratory factor analysis, reliability analysis, confirmatory factor analysis, correlation analysis, and structural equation modeling (SEM) using IBM SPSS Amos was conducted on data collected through a survey targeting male and female Korean consumers in their age group 10 to 50. Study results indicate that social presence significantly impacted all characteristics of NFT products (authenticity, scarcity, rarity, collectability, and interactivity). Scarcity and authenticity significantly impacted consumer satisfaction, and both authenticity and consumer satisfaction significantly impacted continued engagement intention. Thus, effective product development and marketing strategies can be established only by presenting different emphasized characteristics depending on the type of NFT product and the Metaverse’s social presence.

본 연구팀은 피아노제조산업에서 대표적인 기업인 ㈜야마하가 국제화 과정에서 제품 전략과 시장 전략을 동시에 적용하는 사례를 통해서 국제경영에 관한 새로운 모델인 국제경영의 4가지 본원적 메커니즘(4 Generic Mechanisms in Global Management: 4GMGM)의 현실적용가능성을 다루었다. 야마하 피아노가 초기에 현으로 소리를 내는 전통적인 건반악기인 피아노를 일본이라는 현지 시장에서 개발 판매하는 현지화(Localization) 전략에서 출발했다가, 디지털 피아노를 개발 하면서 현세화(Loc-balization) 전략으로 나아갔고, 최상위 품질을 갖춘 그랜드피아노를 개발하 면서 세계화(Globalization) 전략의 정점을 찍었다가, 현지 음악 소리를 내는 맞춤형 피아노를 일 렉트릭 파이노의 한 영역으로 개발하면서 세현화(Glocalization) 전략으로 변신한 과정을 검토했 다. 이 연구를 통해 기업이 국제화하는 과정에서 제품전략과 시장전략을 동시에 개발해야 한다는 논리를 제시한 4GMGM이 현실을 설명하는데 적절하다는 검토 의견을 도출했다.

Guangxi is located in the southwest, with multi-ethnic settlements and complex language components. Chinese is mainly spoken in Southwest Mandarin and Cantonese, while also including small dialects of Min, Xiang, and Hakka. The Zhuang language is the most widely used minority language. This language pattern is also widely reflected in various volumes of Guangxi local chronicles, where dialects and language contact can be seen in many places. The article selects five sets of famous objects and words from the volume of “Products” in Guangxi Old Gazetteer, and comprehensively uses methods such as character recognition, comparative analysis, and contextual interpretation to conduct research. The conclusion is helpful for reading local chronicles, studying Chinese history, and revising Chinese dictionaries.

Distribution and logistics industries contribute some of the biggest GDP(gross domestic product) in South Korea and the number of related companies are quarter of the total number of industries in the country. The number of retail tech companies are quickly increased due to the acceleration of the online and untact shopping trend. Furthermore, major distribution and logistics companies try to achieve integrated data management with the fulfillment process. In contrast, small and medium distribution companies still lack of the capacity and ability to develop digital innovation and smartization. Therefore, in this paper, a deep learning-based demand forecasting & recommendation model is proposed to improve business competitiveness. The proposed model is developed based on real sales transaction data to predict future demand for each product. The proposed model consists of six deep learning models, which are MLP(multi-layers perception), CNN(convolution neural network), RNN(recurrent neural network), LSTM(long short term memory), Conv1D-BiLSTM(convolution-long short term memory) for demand forecasting and collaborative filtering for the recommendation. Each model provides the best prediction result for each product and recommendation model can recommend best sales product among companies own sales list as well as competitor’s item list. The proposed demand forecasting model is expected to improve the competitiveness of the small and medium-sized distribution and logistics industry.

In the event of an emergency such as facility shutdown during process operation, the by-product gas must be urgently discharged to the vent stack to prevent leakage, fire, and explosion. At this time, the explosion drop value of the released by-product gas is calculated using ISO 10156 formula, which is 27.7 vol%. Therefore, it does not correspond to flammable gas because it is less than 13% of the explosion drop value, which is the standard for flammable gas defined by the Occupational Safety and Health Act, and since the explosion drop value is high, it can be seen that the risk of fire explosion is low even if it is discharged urgently with the vent stock. As a result of calculating the range of explosion hazard sites for hydrogen gas discharged to the Bent Stack according to KS C IEC 60079-10-1, 23 meters were calculated. Since hydrogen is lighter than air, electromechanical devices should not be installed within 23 meters of the upper portion of the Bent Stack, and if it is not possible, an explosion-proof electromechanical device suitable for type 1 of dangerous place should be installed. In addition, the height of the stack should be at least 5 meters so that the diffusion of by-product gas is facilitated in case of emergency discharge, and it should be installed so that there are no obstacles around it.

The aim of this study was to prepare rice straw silage using cabbage by-product and persimmon peel which are agricultural by-products produced during the same season in Korea. The treatments comprised a commercial corn silage as the control and four rice straw silages (P15-1, P15-2, P30-1, and P30-2) with different levels of persimmon peel supplementation (15%, 30%) and ensiled periods (1 or 2 months). The cabbage by-products were used to adjust silage moisture (approximately 65%). The quality of the experimental silages was evaluated based on organic acid content, palatability to three Holstein dairy cows, and manufacturing cost. In the corn silage, all chemical compositions, except total digestible nutrients and levels of lactic and butyric acids, were significantly (p<0.05) higher than those of the rice straw silages. However, considering the quality analysis using Flieg's score, the rice straw silage supplemented with 30% persimmon peel ensiled for 2 months (P30-2) was estimated as second grade to corn silage, and was relatively better in palatability to dairy cows than the other rice straw silages, which were considered third grade. The manufacturing cost of rice straw silages using cabbage by-product and persimmon peel compared to that of corn silage was reduced by 28%. Consequently, to prepare rice straw silage adjusted to 65% moisture using only cabbage by-products without inoculant, 30% of persimmon peel, 10% of ground corn, and 2% of molasses as a sugar source should be ensiled for at least 2 months.