• 패션비즈니스
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• 제20권1호
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• pp.142-156
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• 2016

Convergence of IT devices and fashion is enabling the industry to take fully different approaches in various areas including product planning, fabric selecting, distributing, and marketing. At the same time, it also transforms the definition of clothing itself. Convergence of IT technologies in the realm of fashion and textiles industries can create a powerful synergy through connection digital devices, such as mobile phone. In this context, this study attempts to suggest how IT technology can be efficiently harnessed through the usage of mobile devices in the planning stage of fashion materials, where the initial production plan of a clothing item is mapped out. This study ultimately aims to enhance the effectiveness of databases on fashion material information by using mobile devices to utilize NFC, an RFID technology having as much revolutionary power as Internet - which can be the convergence between IT and fashion across the software dimensions. To pursue this research, data on fashion material information regarding 200 woven fabric specimens were provided by textile companies. The information includes elements such as its composition, weight, width, yarn, density and sales report. These pieces of information were organized into a database. Drawing on this data, Android-based applications that allow smart phones to read off fabric information from NFC tags were developed for this study using two methods. The system works as follows: 1. NFC tag stickers are attached onto the hangers where 200 fabric samples are hanging. 2. The NFC tag stickers are tagged, or read off from a smart phone that support NFC functions. 3. Upon tagging, the Smart phone swiftly displays all information available on its screen - not only the aforementioned six elements, but also the image of the clothing item from the fabric in its finalized product form, and the video of the model wearing the item - for convenient view. The method harbors immense potential for the fashion industry in general, and will also be useful in those fields inside the industry that harness NFC technology.

• 한국컴퓨터정보학회논문지
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• 제21권5호
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• pp.119-126
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• 2016

Software maintenance becomes extremely difficult, especially caused by multiple versions in project-based or customer-oriented software development methodology. For reducing the maintenance cost, reengineering to software product line can be a solution to the software which either is a family of products nevertheless little different functionalities or are customized for each different customer's requirement. At an initial stage of the reengineering, the most important activity in software product line is feature extraction with respect to commonality and variability from the existing system due to verifying functional coverage. Several researchers have studied to extract features. They considered only a single version in a single product. However, this is an obstacle to classify the commonality and variability of features. Therefore, we propose a method for systematically extracting features from source code and its change history considering several versions of the existing system. It enables us to represent functionalities reflecting developer's intention, and to clarify the rationale of variation.

• International journal of advanced smart convergence
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• 제9권1호
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• pp.70-81
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• 2020

Plastics that we use and simply throw away have a life span of about 500 years and barely decompose. The practice of producing and using common plastics needs to be challenged. Until now, they have been useful in the industrial structure of mass production, but it can be said that there is a lack of research into new materials to introduce and apply in terms of material recycling. As a result of this, we have come to the uncomfortable realization of the fact that we cannot incinerate or reuse these precious resources indiscriminately. No matter how well-designed a product is, it has a competitive advantage if production and consumption activities, waste, collection, sorting and treatment are considered in terms of a continuous cycle, and in this respect, Extended Producer Responsibility (EPR) can help. We are implementing the EPR system, and active industrialization in the field of recycling is required, which is also a challenge for producers to participate actively in recycling and seek to save and recycle resources in design and manufacturing. Against this backdrop, We would like to examine the possibilities, through various studies and developments on product design of recyclable materials, which is being conducted mainly in Europe. In particular, we would like to examine the methods, and value of solving environmental problems and the active efforts to achieve this in the design world, and in particular the case of product design using recycled plastics.

• 융합경영연구
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• 제11권4호
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• pp.77-87
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• 2023

Purpose: In a business, it is very important to be able to pay attention to consumers. When making a purchase, consumers will first evaluate until they make a purchase decision. This study was conducted to analyze the effects of price, promotion, and product quality on consumer purchasing decisions on poultry feed. Research design, data, and methodology: The research was conducted quantitatively using the Google Form Survey instrument to collect respondent data. The population of this research is poultry feed consumers in Indonesia. Ninety-two respondents participated in this study. Results: The findings revealed that all the independent variables used in this research contribute significantly to determining customer purchase decisions. Conclusions: The results of the study found that price, promotion, and product quality had positive and significant effects on consumer purchasing decisions for poultry products

• International journal of advanced smart convergence
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• 제12권4호
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• pp.246-259
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• 2023

This study explores the evolving landscape of consumer experiences in the context of pop-up stores, considering the shifts from product economy to service economy and now the experience economy. It investigates the factors influencing consumer word-of-mouth intentions by examining the interplay of pop-up store experiences, brand equity, brand charisma, and verbal intent. Using Schmitt's strategic experience modules and the Aaker brand equity model, the study employs quantitative methods and data analysis to uncover the relationships among these variables. Surprisingly, it finds limited associations between the aspects of the pop-up store experience and brand equity. However, it highlights the direct impact of brand equity on brand charisma, which subsequently influences consumers' intentions to share brand-related information. This research contributes to our understanding of word-of-mouth marketing for pop-up stores, filling a knowledge gap and offering valuable insights for academics and businesses navigating the evolving marketing landscape. It also emphasizes the significance of brand charisma in the context of transient in-store experiences and evolving consumer preferences.

• 디지털융복합연구
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• 제12권8호
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• pp.101-112
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• 2014

본 연구에서는 한국의 제품 안전관리를 위한 시나리오 기반의 리스크 평가기법을 개발, 제시한다. 이를 위해 먼저 한국의 제품 안전관리를 위한 관련 규제정책을 살펴보고, 이 법의 시행을 위해 필요한 제품 리스크 평가기법을 일반상해의 경우와 유해물질의 경우로 구분하여 제시한다. 본 연구에서 제시되는 리스크 평가기법의 특징은 다음과 같다. (i) 제품의 사용 시 발생할 수 있는 부상 시나리오에 기반을 둔 방법이다. (ii) 시나리오 발생 확률과 인체에 미치는 부상 심각도를 바탕으로 리스크를 평가한다. (iii) 유해물질 함유 제품의 경우 유해물질의 인체에의 위해성 여부를 확인한 후 부상 심각도를 고려해서 리스크를 평가한다. 부상 시나리오의 확률을 결정하기 위하여 본 연구에서는 시나리오를 몇 가지 구성 요인으로 분해하고 이들 각각의 요인 확률을 추정하여 전체 시나리오의 확률을 결정한다. 본 연구에서 제시된 기법을 통하여 리스크 평가를 수행한 결과를 제시하고 이를 제품 안전관리를 위한 품목 분류에 활용할 수 있음을 보인다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.143-143
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• 2022

Precipitation plays an essential role in water resources management and disaster prevention. Therefore, the understanding related to spatiotemporal characteristics of rainfall is necessary. Nowadays, highly accurate precipitation is mainly obtained from gauge observation systems. However, the density of gauge stations is a sparse and uneven distribution in mountainous areas. With the proliferation of technology, satellite-based precipitation sources are becoming increasingly common and can provide rainfall information in regions with complex topography. Nevertheless, satellite-based data is that it still remains uncertain. To overcome the above limitation, this study aims to take the strengthens of machine learning to generate a new reanalysis of precipitation data by fusion of multiple satellite precipitation products (SPPs) with gauge observation data. Several machine learning algorithms (i.e., Random Forest, Support Vector Regression, and Artificial Neural Network) have been adopted. To investigate the robustness of the new reanalysis product, observed data were collected to evaluate the accuracy of the products through Kling-Gupta efficiency (KGE), probability of detection (POD), false alarm rate (FAR), and critical success index (CSI). As a result, the new precipitation generated through the machine learning model showed higher accuracy than original satellite rainfall products, and its spatiotemporal variability was better reflected than others. Thus, reanalysis of satellite precipitation product based on machine learning can be useful source input data for hydrological simulations in ungauged river basins.

• 식품보건융합연구
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• 제9권6호
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• pp.21-26
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• 2023

Purpose: This study aims to explore how the modern foodservice industry reflects consumers' rapidly changing taste preferences and health consciousness. In particular, it looks at how companies such as Yakult Korea are expanding their business to meet diverse consumer demands and how traditional and exotic tastes are driving the growth of the sauce market. Research methods: this study was conducted through market analysis, consumer behavior research and case studies. Sales data, consumer purchasing patterns and product development strategy case studies of sauce products in domestic and global markets were investigated to analyze the impact of taste and health harmony and storytelling on brand value. Conclusion: The foodservice industry is meeting consumer expectations for health and taste harmony by developing innovative products that satisfy the senses and adopting marketing strategies through strong storytelling. The success of exotic sauce products in particular reflects consumers' desire for diversity. Implications: the findings suggest that the foodservice industry must continue to innovate to meet consumers' health and taste expectations. They also reveal that product storytelling plays an important role in enhancing brand value. This requires a strategic approach to long-term brand growth and market differentiation. Companies need to reflect these changes in consumer buying behavior.

• 패션비즈니스
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• 제25권3호
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• pp.90-107
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• 2021

This study concludes that communication based on interaction between broadcasting hosts and consumers is differently characterized by fashion live commerce types. Subcategories of the types of fashion live commerce were created and used in the analyses of domestic consumer awareness. Three subcategories were created: The department store type, Designer brand type, and Influencer host type. Comments representing consumers' awareness that appear immediately during real-time broadcasting were collected and used for the analyses. The frequency and TF-IDF-based top keywords were selected to analyze the semantic network and CONCOR, and the top keywords were analyzed by deriving the values of degree of centrality. The analysis identified that a group of product attributes and a group of live commerce offered value were common between the three types. As for the group characteristics classified by type, for the department store types, brand attributes, benefits, and values from pursuing the products were identified. For designer brand types, a group of viewers' responses and inquiries were identified. It is interpreted that the satisfaction value gained from hosts with product expertise has been clustered. Influencer host types have affirmed a group of external product values. A close relationship is formed and it is thought to have led a group of values to trust the external image of the product. This study carries significance in analyzing real-time comment data from consumers using fashion live commerce to empirically reveal the characteristics of each type.

• 한국융합학회논문지
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• 제13권3호
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• pp.203-216
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• 2022

본 연구에서는 COVID-19의 영향과 온라인 시장을 중심으로 구매패턴이 변화하는 현 경영환경의 시대에서 온라인 배송업체의 구매정보와 상품정보를 기반으로 군집분석과 연관성 분석을 실시하였다. 고객군집, 상품군집, 그리고 교차결합을 통해 데이터를 세분화시켜 결합군집을 생성하여 학문적으로 새로운 방안의 군집분석을 시도하였으며, 각각의 군집분석 결과를 토대로 연관성 분석을 하였다. 연관성 분석 결과, 상대적으로 결합군집에서 더 많은 연관 규칙이 도출 되었으며, 중복률은 더 적은 것으로 분석되어 효율성이 매우 높은 것으로 나타났다. 이는 고객의 니즈에 맞게 상품을 추천하기 위해서는 결합군집이 가장 적합한 모델이라고 판단된다. 결합군집 모델은 소비자에겐 시간 절약과 유용한 정보를 제공하면서, 해당 업체에는 판매량을 증가시키는 등의 긍정적인 효과를 가져올 것으로 사료된다. 향후 연구과제로써, 다양한 특성을 갖고 있는 다수의 온라인 배송업체들을 대상으로 비교·분석한다면 좀 더 명확하고 유의미한 연구결과를 도출할 수 있을것으로 기대된다.