• The Journal of Bigdata
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• v.7 no.2
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• pp.1-9
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• 2022

In the global era, the importance of imported food safety management is increasing. Address information of overseas food companies is key information for imported food safety management, and must be verified for prompt response and follow-up management in the event of a food risk. However, because each country's address system is different, one verification system cannot verify the addresses of all countries. Also, the purpose of address verification may be different depending on the field used. In this paper, we deal with the problem of classifying a given overseas food business address into the administrative district level of the country. This is because, in the event of harm to imported food, it is necessary to find the administrative district level from the address of the relevant company, and based on this trace the food distribution route or take measures to ban imports. However, in some countries the administrative district level name is omitted from the address, and the same place name is used repeatedly in several administrative district levels, so it is not easy to accurately classify the administrative district level from the address. In this study we propose a deep learning-based administrative district level classification model suitable for this case, and verify the actual address data of overseas food companies. Specifically, a method of training using a label powerset in a multi-label classification model is used. To verify the proposed method, the accuracy was verified for the addresses of overseas manufacturing companies in Ecuador and Vietnam registered with the Ministry of Food and Drug Safety, and the accuracy was improved by 28.1% and 13%, respectively, compared to the existing classification model.

• Asia Marketing Journal
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• v.8 no.1
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• pp.105-132
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• 2006

The major purpose of this study is to investigate the impact of environmental uncertainties and logistics resources capabilities mediated by relational norms and logistics services on logistics performance in the industrial products. The 272 data were collected from the key informants who were working at the logistics-related departments in the H Heavy Industries & Construction and HSD Engine. The following results were verified using structural equation modeling. First, environmental uncertainties such as dynamism and heterogeneity unexpectedly had insignificant effects on relational norms such as information exchange and flexibility and logistics services such as product availability and on-time delivery. Second, logistics resource capabilities showed unique effects based upon its component's characteristics. For example, Logistics Information Systems did not have direct impact on logistics services but had indirect effect on logistics services via relational norms. On the other hand, logistics resources such as logistics specific assets and transportation service competencies had direct impact on logistics services but not on relational norms. Third, relational norms between transaction partners significantly affected logistics services but had insignificant effects on logistics performance such as logistics costs reduction and delivery qualities. Fourth, consistent with several studies, excellent logistics services between industrial purchaser and suppliers based upon relational norms did have significant effect on logistics performance such as delivery consistency and delivery qualities. Finally, the empirical results in this study could be strategic logistics management guidelines based upon the theoretical relationships among the environmental uncertainties, logistics information systems, logistics resources, relational norms, logistics services, and logistics performance.

• Journal of Venture Innovation
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• v.3 no.2
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• pp.23-39
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• 2020

The 4th Industrial Revolution and Covid 19 are moving the fashion industry from offline to online. Fashion shows that took place offline are being replaced by online. Online is greatly increasing consumers' digital customer experience based on digital technologies. In this study, we studied the effect of digital experience factors on digital customer satisfaction based on the Schmitt(1999)'s experience marketing. The effect of digital customer satisfaction on purchase, continuous use intention, and recommendation intention were also studied. In addition, the moderating effect of experience frequency was studied. We randomly sampled 180 individuals among fashion mall users.. SPSS 24, AMOS 23 and Process Macro 3.5 were used for statistical analysis. In the study in which digital experience factors influence digital customer satisfaction, all except the digital act showed positive influence. The impact of influence was digital sense (β = .366) > digital think (β = .225)> digital feel (β = .191) > digital relate(β = .163). Digital customer satisfaction have been positive impact on purchasing, continuance use and recommendation intention. In the moderating effect of digital experience frequency, between digital feel, digital act and digital customer experience showed a statistically effective relationship. Based on the this study, We suggested theoretical and practical implications.

• Journal of Venture Innovation
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• v.6 no.1
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• pp.1-16
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• 2023

Due to the progress of the 4th industrial revolution and the COVID-19 pandemic, the subscription economy was rapidly expanding. In particular, the subscription economy was expected to expand further as the servicing of products(servitization) rapidly progresses. In this study, we tried to empirically analyze the factors that promote and hinder the spread of the subscription economy from the consumer's point of view. To this end, based on the Service Profit Chain (SPC) model, which identified mechanisms leading from quality to satisfaction, loyalty, and performance, a research model was established by combining the framework of the Value-based Adoption Model (VAM), which covers both benefit and sacrifice factors. Usefulness and convenience were derived as benefit factors, and perceived risks and perceived costs were derived as sacrifice factors. The effects of these factors on satisfaction and continuous use intention were analyzed. For empirical analysis, a survey was conducted targeting people who have experience in subscription economy, and 300 effective samples were analyzed. The analysis was performed as a structural equation model using AMOS 24. As a result of the empirical study, it was found that convenience had a significant positive (+) effect on satisfaction. Perceived risk and perceived cost were analyzed to have a negative (-) effect on satisfaction. On the other hand, usefulness was found to have no significant effect on satisfaction. The influences affecting satisfaction were in the order of perceived cost, convenience, and perceived risk. Satisfaction was found to have a significant positive (+) effect on continuous use intention. The results of this study were considered meaningful in that they broadened the horizons of research by combining existing validated models at the academic level and testing their validity, and found that perceived cost was still an important factor at the practical level.

• KIPS Transactions on Software and Data Engineering
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• v.13 no.1
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• pp.1-16
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• 2024

Over recent years, 6 Sigma has become a key methodology in manufacturing for quality improvement and cost reduction. However, challenges have arisen due to the difficulty in analyzing large-scale data generated by smart factories and its traditional, formal application. To address these limitations, a big data-based 6 Sigma approach has been developed, integrating the strengths of 6 Sigma and big data analysis, including statistical verification, mathematical optimization, interpretability, and machine learning. Despite its potential, the practical impact of this big data-based 6 Sigma on manufacturing processes and management performance has not been adequately verified, leading to its limited reliability and underutilization in practice. This study investigates the efficiency impact of DX SS, a big data-based 6 Sigma, on manufacturing processes, and identifies key success policies for its effective introduction and implementation in enterprises. The study highlights the importance of involving all executives and employees and researching key success policies, as demonstrated by cases where methodology implementation failed due to incorrect policies. This research aims to assist manufacturing companies in achieving successful outcomes by actively adopting and utilizing the methodologies presented.

• Journal of Ginseng Culture
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• v.6
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• pp.116-134
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• 2024

This study aimed to identify the issues in Korean ginseng exports through analyzing the ginseng market. Therefore, the study examined the current ginseng production status in South Korea and China, the major ginseng-producing countries in Northeast Asia, including cultivated areas, harvested areas, and production volumes. For South Korea, specific data on ginseng, such as average prices, operating costs, and production costs, were compiled to demonstrate the production competitiveness of Korean ginseng from a production perspective. Furthermore, as major ginseng-exporting countries, South Korea, China, and Hong Kong's export trends, including export quantities, export values, and export prices, as well as crucial export items and tariff rates, were summarized to showcase the export competitiveness of Korean ginseng. Additionally, this study aimed to understand the consumption patterns of ginseng in China, Hong Kong, and Taiwan by presenting various cases and events in these countries. Based on information related to production, export, and consumption, this study identified obstacles in the ginseng export process, including market downturns, weakened price competitiveness of Korean ginseng, increased market share of competing products like Chinese and Western ginseng, a lack of promotion and marketing, and insufficient development and export of various ginseng products. In response, strategies for overcoming these obstacles were proposed, including diversifying exports, establishing effective production systems, enhancing quality and branding, strengthening promotion and marketing efforts, and developing various ginseng products.

• Journal of Technology Innovation
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• v.23 no.3
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• pp.397-432
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• 2015

This paper investigates the effects of technology collaboration between the main supplier and buyer on buyer's new product development under dynamic environment. Based on 428 Korean manufacturing firms, we conducted regression analysis. The technology collaboration between the main supplier and buyer is adopted as a independent variable and quality, cost and lead time performance of new product development projects are used as dependents variables. Environment dynamic is also used as a moderate variables. We found that the in general, technology collaboration is positively associated with the performance of buyers' new product development, but in the high degree of dynamic environment, technology collaboration is negatively associated with the performance of buyers' new product development unlike our expectation. Thus, we divide our sample into two groups; shipbuilding industry with the low degree of environment dynamic and electronic and IT device industry with the high degree of environment dynamic and conducted a post hoc analysis. As a result, in ship building industry, the technology collaboration is significant to improve NPD projects performance, while in electronic and IT device industry, the technology collaboration with a main supplier is not significant as well as coefficient is negative. In that, under the highly dynamic condition with the fast change of technology and products obsolescence the NPD collaboration with the main supplier does not works unlike a stable environment. This implies that the NPD attributes of buyer are different by their environmental factor and the fit between given environmental feature and the collaboration synergy is critical factor for improving the effect of NPD collaboration between supplier and buyer.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.417-428
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• 2005

Today, IT organizations perform projects with vision related to marketing and financial profit. The objective of realizing the vision is to improve the project performing ability in terms of QCD. Organizations have made a lot of efforts to achieve this objective through process improvement. Large companies such as IBM, Ford, and GE have made over $80\%$ of success through business process re-engineering using information technology instead of business improvement effect by computers. It is important to collect, analyze and manage the data on performed projects to achieve the objective, but quantitative measurement is difficult as software is invisible and the effect and efficiency caused by process change are not visibly identified. Therefore, it is not easy to extract the strategy of improvement. This paper measures and analyzes the project performance, focusing on organizations' external effectiveness and internal efficiency (Qualify, Delivery, Cycle time, and Waste). Based on the measured project performance scores, an OT (Opportunity Tree) model was designed for optimizing the project performance. The process of design is as follows. First, meta data are derived from projects and analyzed by quantitative GQM(Goal-Question-Metric) questionnaire. Then, the project performance model is designed with the data obtained from the quantitative GQM questionnaire and organization's performance score for each area is calculated. The value is revised by integrating the measured scores by area vision weights from all stakeholders (CEO, middle-class managers, developer, investor, and custom). Through this, routes for improvement are presented and an optimized improvement method is suggested. Existing methods to improve software process have been highly effective in division of processes' but somewhat unsatisfactory in structural function to develop and systemically manage strategies by applying the processes to Projects. The proposed OT model provides a solution to this problem. The OT model is useful to provide an optimal improvement method in line with organization's goals and can reduce risks which may occur in the course of improving process if it is applied with proposed methods. In addition, satisfaction about the improvement strategy can be improved by obtaining input about vision weight from all stakeholders through the qualitative questionnaire and by reflecting it to the calculation. The OT is also useful to optimize the expansion of market and financial performance by controlling the ability of Quality, Delivery, Cycle time, and Waste.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.13 no.2
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• pp.129-147
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• 2002

본 실험은 $\beta$-cyclodextrin을 사용하여 cholesterol을 제거한 균질우유로부터 cholesterol이 제거된 치즈 제조의 조건을 규명하고, 그 조건에 따라 제조된 cheese의 특성 및 관능 검사를 함으로써 cholesterol이 제거된 cheese의 개발 가능성을 조사하는데 그 목적을 두고 있다. 치즈 제조에 적합하다고 사료되는 낮은 균질압력에서 효과적인 cholesterol 제거율을 알아보기 위해 균질압력 0, 250, 500, 750, 1000psi(0-70kg/$cm^2$와 균질온도 40, 50, 60, $70^{\circ}$ 그리고 $\beta$-cyclodextrin 첨가량 1.0, 1.5 2.0% 등의 3가지 조건에 따라 우유를 처리하여 cholesterol이 제거된 cheese의 제조에 적합한 조건으로는 균질압력 1000psi(70kg/$cm^2$), 균질 온도 $70^{\circ}$$0^{\circ}C$, $\beta$-cyclodextrin 첨가량 2.0%로 관찰되었다. 따라서 균질온도는 $70^{\circ}$로 정하고, 균질압력을 400, 600, 900, 1200si(0,- 91kg/$cm^2$)로, $\beta$-cyclodextrin 첨가량을 1과 2%로 처리하여 제조한 cheese와 균질을 하지 않고 $\beta$-cyclodextrin의 처리를 하지 알은 control 치즈간의 수율, cholesterol 제거율, mettability, stretchability, oiling off, 조직검사, 관능검사 등의 실험을 실시하여 control 치즈와 가장 유사한 cholesterol이 제거된 cheese 개발의 가능성을 시도하였고, 그 결과는 다음과 같다. 1. Cholesterol을 제거한 cheese의 제조에서 최적조건은 균질압력 1200psi(70kg$cm^2$), 균질온도 $70^{\circ}$, $\beta$-cyclodextrin 첨가량 2%였으며, 이때 우유의 cholesterol의 제거율이 86.05%로 가장 높게 나타났다. 2. Cholesterol을 제거한 cheese들의 수율은 모두 12.53%(control 10.54%) 이상으로 균질 처리가 cheese의 수율을 18.88%이상 향상시키는 것으로 나타났다. 3. 유지방 함량 23.80%인 control 치즈의 cholesterol 함량은 81.47mg/100g이었고, 균질압력 1200psi(91kg/$cm^2$)에 $\beta$-cyclodextrin 2%를 첨가한 cheese에서는 cholesterol 함량이 20.15mg/100g으로 cholesterol 제거율이 75.27%로 가장 높게 나타났다. 4. Meltability는 균질압력 1200psi(91kg/$cm^2$)에 $\beta$-cyclodextrin 1과 2%로 처리한 치즈에서 2.25cm(control 3.34cm)로 가장 낮았으며, 균질압력이 증가할수록 meltability가 감소하여 치즈의 품질을 저하시켰다. 5. Control 치즈의 stretchability는 30cm 이상 늘어나 가장 양호한 수치인 5점을 나타낸 반면, cholesterol을 제거한 cheese에서는 5~10cm 사이를 나타내어 2점으로 stretchability가 저하된 것을 볼 수 있었다. 6. Oiling off는 균질압력 1200psi(91kg/$cm^2$)에 $\beta$-cyclodextrin 1과 2%로 처리한 치즈에서 0.03%(control 2.46%)로 가장 낮았으며, 균질압력이 증가할수록 oiling off는 감소하여 치즈의 외관상 품질을 향상시켰다. 7. Hardness, gumminess, chewiness는 균질압력 1200psi(91kg/$\textrm{cm}^2$)에 $\beta$-cyclodextrin 1%로 처리한 치즈에서 각각 나타내었으며, control과 cholesterol을 제거한 치즈들 사이에 유의적 (p<0.05) 차이를 보이며 큰 감소를 나타내었다. 8. Cholesterol을 제거한 cheese의 appearance와 flavor는 1200psi (91kg/$cm^2$)일 때 각각 가장 높은 5,56과 4.63(control 4.00)으로 균질압력이 증가하면서 향상되었으며, texture score는 균질압력 1200psi(91kg/$cm^2$)에 $\beta$-cyclodextrin 2%일때 1.22(control 4.00)로 가장 낮은 수치를 나타내었고, 균질이 cheese의 texture score를 상당히 저하시키는 것을 알 수 있었다. 9. 이 실험결과, 균질압력 1200psi(91kg/$cm^2$)에 $\beta$-cyclodextrin 2% 첨가한 cheese에서 cholesterol 제거율이 75.27%로 가장 높았으며, 균질처리가 cheese의 수율, oiling off, appearance score, flavor scope 등을 향상시켰고, meltability, stretchability, hardness, gumminess, chewiness, texture score를 저하시키는 것으로 나타나 cholesterol이 상당부분 제거된 cheese의 개발 가능성이 관찰되었다.

• Journal of Bio-Environment Control
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• v.26 no.4
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• pp.340-345
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• 2017

Carrot leaves have many nutrients as well as roots, which will increase the demand for carrot leaves in the future. This study was carried out by dividing into two stages: high temperature and low temperature periods, in order to investigate the possibility of cultivation of carrot leaves and the composition and EC of the nutrient solution for growth and quality of carrot leaves. Composition of nutrient solution($NO_3-N:16.0$, $NH_4-N:1.0$, P: 1.0, K: 11.0, Ca: 2.0, Mg: 1.0, $SO_4-S:1.0mM{\cdot}L^{-1}$) developed by analysis of plant. In the high temperature range (From June $29^{th}$ to Sep. $8^{th}$, 2016), the concentration of the developed nutrient solution (JNU) were 1.0, 2.0, 3.0, and $4.0dS{\cdot}m^{-1}$ and the concentration of nutrient solution of Japanese Horticultural Station(JHS) $2.0dS{\cdot}m^{-1}$ was used for comparison. In the low temperature range (From Dec. $31^{st}$, 2015 to Feb. $29^{th}$, 2016), the concentration of the developed nutrient solution 1.0, 2.0, and $3.0dS{\cdot}m^{-1}$ were used. Growth was investigated in root fresh and dry weights, shoot fresh and dry weights, leaf number, and leaf area of carrot. In the high temperature range, the leaf area and shoot fresh and dry weights were good at 1.0 and $2.0dS{\cdot}m^{-1}$. The sugar content of the root was the highest at the EC $2.0dS{\cdot}m^{-1}$, and the chlorophyll content was the highest at the EC $4.0dS{\cdot}m^{-1}$. In the low temperature range, The shoot fresh and dry weights were the highest at EC 1.0 and $2.0dS{\cdot}m^{-1}$. There was no significant difference in sugar content and chlorophyll content. As a result, from the viewpoint of growth and quality of carrot, it is good to cultivate EC 1.0 and $2.0dS{\cdot}m^{-1}$ in high temperature period and low temperature period, but EC $1.0dS{\cdot}m^{-1}$ is economical perspective such as fertilizer input.