Limited fashion products serve as a strategy for demonstrating the brand’s vitality and presence by satisfying the emotional needs of consumers seeking to escape from the boredom of similar products. The MZ generation values unique experiences and desires to purchase rare and unique products. Accordingly, the fashion industry prioritizes launching limited fashion products that emphasize artistry and can convey different values compared to existing products. The open-run phenomenon, characterized by people waiting in line before the store opens and then running to the store to purchase these limited products as soon as the store opens, is rapidly emerging as a consumer trend in our society. This study explored the impact of fashion consumers’ psychological factors-that is, FOMO, brand attachment, and need for uniqueness-on their open-run intention for limited fashion products. An online survey was administered to test the research hypotheses on Korean consumers, and 300 responses were statistically analyzed using the SPSS 28.0 program. The results revealed that FOMO, brand attachment, and the need for uniqueness significantly increased open-run intention for limited fashion products. Furthermore, consumers’ fashion involvement appeared to have a significant positive moderating effect on FOMO, brand attachment, and open-run intention. However, it did not substantially impact the effect of the need for uniqueness on open-run intention.

이 연구는 해조류에서 추출된 알긴산을 혼입하여 라텍스 콘크리트의 경제성을 개선하고, X선 회절 분석(XRD)을 통해 미세구조 변화 를 분석하는 것을 목표로 한다. 기존 라텍스 콘크리트(LMC)의 높은 비용을 보완하기 위해 라텍스 혼입량을 줄이고 알긴산을 추가한 콘크리트를 제작하여 재령 4시간, 7일, 28일에 따른 미세구조 및 강도 발현 특성을 분석하였다. XRD 분석 결과, 재령 증가에 따라 Ettringite는 감소하고 일부 Monosulfate(AFm 상)로 변환되었으며, Ye’elimite는 C-S-H 및 Monosulfate로 변환되면서 초기 강도 발현이 감 소하고 장기 강도가 증가하는 경향을 나타내었다. 압축강도 실험에서는 재령 28일 기준 case 2의 강도가 기존 LMC와 유사한 수준을 나타내었다. 알긴산 혼입 라텍스 콘크리트에서 Larnite(C2S) 증가와 Hatrurite(C3S) 감소가 관찰되었다. 이는 알긴산이 C3S의 조기 수화 를 촉진하고 후반 수화 반응을 활성화시켜 장기 강도 발현에 긍정적인 영향을 미친 것으로 판단된다. 결과적으로, 알긴산 혼입 라텍스 콘크리트는 초기 강도보다는 장기 강도 발현에 유리하며, 최적 혼입량 설정과 내구성 평가를 위한 추가 연구가 필요할 것으로 판단된 다.

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.