• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.313-322
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• 2021

Horizontal cooperation is seen as an effective way to raise a competitive advantage in logistics and transportation. However, there are many logistics enterprises still operating individually instead of cooperating. This research aims to investigate the factors influencing the decision of horizontal cooperation by surveying a large sample of Vietnamese logistics companies. This study employs 161 logistics companies to examine correlations between potential factors and horizontal collaboration. The structural equation model (SEM) was used to test the conceptual model and the relationships among variables. The findings revealed that information sharing was the most important predictor of 161 supply chain providers' horizontal collaboration decisions, which resulted in increased profitability or service quality. Besides, trust in partners was found to be positively related to the degree of horizontal cooperation among logistics companies. Finally, the finding of this research is that reputation had a positive effect on the strategy of horizontal cooperation. Our findings suggest that SME managers should be concerened about their information sharing, their reputation as well as their trust in partners if they would be invited in cooperation with another firm to increase service quality, performance, and competitive advantage.

• Journal of the FoodService Safety
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• v.1 no.1
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• pp.9-18
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• 2020

B. cereus-produced cereulide as an emetic toxin is commonly isolated in starch-based cooked foods. This study examined the prevalence of B. cereus from ready-to-eat foods in markets by polymerase chain reaction analysis and determined the relationship between the level of B. cereus and the quantity of cereulide in the sample after different storage times and temperatures. The prevalence of general B. cereus in 43 starch foods was 32.6%, and the level of B. cereus ranged from 0.5 to 1.95 log cfu/g, meeting the Korea Food Code Specifications of 3 log CFU/g of B. cereus. No samples revealed emetic B. cereus. Fried rice samples were inoculated with a cereulide-producing reference strain, B. cereus NCCP 14796, to determine the level of B. cereus and the quantity of cereulide in the samples after storage for 0, 4, 6, 8, 20, 24, 30, 48, 72, and 96 h at 7, 25, 35, and 57℃. The average levels of B. cereus at 7, 25, 35, and 57℃ were 4.38, 7.31, 7.88, and 3.82 log cfu/g, and the levels of cereulide were 150.41, 1680.70, 2652.65, and 77.83 ㎍/mL, respectively, showing a significant difference according to the incubation time (P<0.05) and temperature (P<0.001).

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.1
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• pp.1-7
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• 2019

The objective of this study is to examine the trends in big data. Research abstracts were extracted from 4,019 articles, published between 1995 and 2018, on Web of Science and were analyzed using topic modeling and time series analysis. The 20 single-term topics that appeared most frequently were as follows: model, technology, algorithm, problem, performance, network, framework, analytics, management, process, value, user, knowledge, dataset, resource, service, cloud, storage, business, and health. The 20 multi-term topics were as follows: sense technology architecture (T10), decision system (T18), classification algorithm (T03), data analytics (T17), system performance (T09), data science (T06), distribution method (T20), service dataset (T19), network communication (T05), customer & business (T16), cloud computing (T02), health care (T14), smart city (T11), patient & disease (T04), privacy & security (T08), research design (T01), social media (T12), student & education (T13), energy consumption (T07), supply chain management (T15). The time series data indicated that the 40 single-term topics and multi-term topics were hot topics. This study provides suggestions for future research.

• Convergence Security Journal
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• v.18 no.4
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• pp.3-10
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• 2018

Each online user should perform a separate registration and manage his ID and password for each online commerce or SNS service. Since a common secret is shared between the user and the SNS server, the server compromise induces the user privacy breach and financial loss. In this paper, it is considered that the user's authentication material is shared between multiple SNS servers for user authentication. A blockchain service architecture based on Hyperledger Fabric is proposed for each user to utilize an identical ID and OTP using the enhanced hash-chain-based OTP.

• Journal of the FoodService Safety
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• v.2 no.2
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• pp.84-90
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• 2021

This study was performed to assess the microbiological quality and safety of microgreen sampled from harvesting farms and food processing plant in Korea. The samples were analyzed for total viable counts, coliforms, Enterobacteriaceae, Escherichia coli, Salmonella spp., Listeria monocytogenes, Vibrio parahaemolyticus, Bacillus cereus, and Staphylococcus aureus. Total viable counts were highly contaminated in samples collected from farms (7.7~8.2 log CFU/g) and the final products (5.8~7.8 log CFU/g), respectively. B. cereus was detected less than 100 CFU/g, which was satisfied with Korean standards (<1,000 CFU/g) of fresh-cut produce. A predictive model was developed for the changes of total viable counts in microgreens during storage at 5~35℃. The predictive models were developed using the Baranyi model for the primary model and the square root model for the secondary model. The results obtained in this study can be useful to develop the safety management options along the food chain, including fresh-cut produce storage and distribution.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.181-188
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• 2022

The purpose of this study is to identify selection attributes, functional benefits, psychological benefits, and values according to crossover shopping patterns (showrooming and webrooming). To achieve objectives of this study, a survey was designed based on the means-end chain theory, using the in-depth laddering technique and APT laddering technique which understanding the linkage of A(attributes)-FB(functional benefits)-PB(psychological benefit)-V(value). These two laddering techniques were used to construct a hierarchical value map (HVM) by linking selection attributes, functional benefits, psychological benefits, and value levels. The selection attribute items that showrooming shoppers consider important are 'price conformity', 'product information', 'product variety', and 'delivery service'. Functional benefit items were 'free purchase', 'economic benefit', 'communication', 'safety', and 'accurate Information', and psychological benefit items were 'convenience', 'relaxation', 'pleasure', 'rational consumption', and 'stability'. Finally, the value items were 'self-satisfaction', 'abundant life', 'achievement', 'happiness', and 'reasonable life'. Next, the selection attribute items that webrooming shoppers consider important are 'price conformity', 'product information', 'product variety', 'AS', 'shopping atmosphere', and 'seller service'. Functional benefit items were 'free purchase', 'economic profit', 'expression opinion', 'safety', and 'accurate information', and psychological benefit items were 'convenience', 'relaxation', 'rational consumption', and 'stability'. Finally, the value items were 'self-satisfaction', 'abundant life', 'happiness', and 'reasonable life'.

• Journal of Distribution Science
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• v.21 no.9
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• pp.93-102
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• 2023

Purpose: This study attempts to analyze the current status of the railway logistics business and to seek ways to improve it by using the business model as an analytical framework. It was intended to reflect practical implications that could be applied to the field, by dealing with issues at the industrial site related to each component in the business model. Research design, data and methodology: This study was conducted through literature review and field research. We analyzed academic papers and industrial reports on the development of the railway logistics industry and interviewed various stakeholders in the railway logistics industry. Results: This study determined the factors that could be eliminated, raised, reduced, or created from the customer and product perspective, infrastructure management perspective, and financial perspective. Conclusions: The growth of existing business can be achieved by lowering service prices, improving service quality, and securing large-scale transportation capacity. The additional transportation of high value goods and cold chain commodities will be promising business opportunities. Existing services can be provided to new customers (large pre-shippers, forwarding customers, etc.) in order to increase the size of sales Urban delivery services and comprehensive logistics services based on complex logistics centers may open an avenue for new market. A more timetable and track capacity need to be assigned to logistics, which significantly improve the flexibility and the competency of railway logistics.

• Korean Journal of Veterinary Service
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• v.45 no.1
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• pp.13-18
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• 2022

African swine fever (ASF) is fatal to domestic pigs and wild boars (Sus scrofa) and affects the domestic pig industry. ASF is transmitted directly through the secretions of infected domestic pigs or wild boars, an essential source of infection in disease transmission. ASFV is also very stable in the environment. Thus, the virus is detected in the surrounding environment where ASF-infected carcasses are found. In this study, ASF infection monitoring was conducted on the swab and whole blood samples from wild animals, various hematopoietic arthropod samples that could access infected wild boar carcasses or habitats to cause maintenance and spread of disease, and soil samples of wild boar habitats. ASF viral DNA detection was confirmed negative in 317 wildlife and environmental samples through a real-time polymerase chain reaction. However, ASF occurs in the wild boars and spreads throughout the Korean peninsula. Therefore, it is necessary to trace the route of ASF virus infection by a continuous vector. Additional monitoring of various samples with potential ASF infection is needed to help the epidemiologic investigation and disease prevention.

• Journal of the Korean Society of Food Culture
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• v.21 no.1
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• pp.8-16
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• 2006

This study was performed by questionnaire to investigate the preference and intake frequency of Korean traditional commercial beverages. The subjects were consisted of 320 participants in Daegu and Kyungpook area. 'Chain market' scored 49.4% as purchasing place of traditional beverages. 'Tea bag' scored 31.6% as the favorite package of traditional beverages. On the reasons of drinking traditional beverage 'good for health' scored the highest with 31.3% respondents, followed by 'good smell' with 14.4%. Coffee and traditional tea were the choice of beverage after having a rich meal and on occasion of entertaining guests. The favorite foods in ordinary days were 'tea', 'alcohol', 'ice cream', 'nuts' and 'cookie'. More than thirty percent of the respondents, both male and female, raised the need of improvement in taste of traditional beverage. In the intake frequency, Korea traditional beverages obtained 1.80 points as a whole. 'Green tea' scored highest(3.40points) while 'mulberry-leaf tea' received the lowest score of 1.31 points. The preferred Korean traditional drinks were 'greed tea', 'shick hae', 'citron tea', 'misitgaru', 'maesil tea', 'rice tea' in the order. On the other hand, the preference for 'mulberry-leaf tea', 'boxthom tea', 'ginger tea', 'chrysanthemum tea' and 'omija tea' was very low. The people who are on twenties preferred 'shick hae', 'honey tea', 'citron tea', 'black tea' and 'misitgaru' more than the other generation.

• The Korean Journal of Food & Health Convergence
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• v.10 no.1
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• pp.1-6
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• 2024

Purpose: The research aims to address the intricacies of AI and Big Data application within the food industry. This study explores the strategic implementation of AI and Big Data in the food industry. The study seeks to understand how these technologies can be employed to bolster consumer engagement and contribute to market expansion, while considering ethical implications. Research Method: This research employs a comprehensive approach, analyzing current trends, case studies, and existing academic literature. It focuses on the application of AI and Big Data in areas such as supply chain management, consumer behavior analysis, and personalized marketing strategies. Results: The study finds that AI and Big Data significantly enhance market analytics, consumer personalization, and market trend prediction. It highlights the potential of these technologies in creating more efficient supply chains, improving consumer satisfaction through personalization, and providing valuable market insights. Conclusion and Implications: The paper offers actionable insights and recommendations for the effective implementation of AI and Big Data strategies in the food industry. It emphasizes the need for ethical considerations, particularly in data privacy and the transparency of AI algorithms. The study also explores future trends, suggesting that AI and Big Data will continue to revolutionize the industry, emphasizing sustainability, efficiency, and consumer-centric practices.