• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.167-167
• /
• 2023

Soil organic carbon (SOC) is a critical component of soil health and is crucial in mitigating climate change by sequestering carbon from the atmosphere. Accurate estimation of SOC storage is essential for understanding SOC dynamics and developing effective soil management strategies. This study aimed to investigate the factors influencing the spatial distribution of SOC storage in South Korea, using bulk density (BD) prediction to estimate SOC stock. The study utilized data from 393 soil series collected from various land uses across South Korea established by Korea Rural Development Administration from 1968-1999. The samples were analyzed for soil properties such as soil texture, pH, and BD, and SOC stock was estimated using a predictive model based on BD. The average SOC stock in South Korea at 30 cm topsoil was 49.1 Mg/ha. The study results revealed that soil texture and land use were the most significant factors influencing the spatial distribution of SOC storage in South Korea. Forested areas had significantly higher SOC storage than other land use types. Climate variables such as temperature and precipitation had a relative influence on SOC storage. The findings of this study provide valuable insights into the factors influencing the spatial distribution of SOC storage in South Korea.

• International Journal of Industrial Entomology and Biomaterials
• /
• v.47 no.1
• /
• pp.25-33
• /
• 2023

Solitary bees, such as Osmia cornifrons, O. pedicornis, O. satoi, and O. taurus (Hymenoptera: Megachilidae), have the potential for cost-effective and sustainable pollination, necessitating a comprehensive understanding of their ecological traits to implement effective fertilization strategies for various crops. This study investigated the nesting rate of Osmia spp. in different regions and altitudes, using various trap types, and found that the highest nesting rate occurred at altitudes of 300-399 m a.s.l. and showing a preference for bamboo-type traps, with the Andong region having the highest nesting rate overall, indicating the influence of altitude, habitat area, and trap type on the density of Osmia spp. nests. The distribution and diversity of the four Osmia spp. in different regions and altitudes revealed variations in their occurrence, with O. pedicornis having the broadest distribution rate, particularly at altitudes above 300 m a.s.l.. The present study found significant differences between species in the cocoon masses of O. cornifrons, O. pedicornis, and O. taurus, with region and altitude influencing the masses of each species too.

• Journal of Distribution Science
• /
• v.22 no.4
• /
• pp.79-89
• /
• 2024

Purpose: This study aims to enhance airport service quality by examining their impact on brand image, advocacy, and mediating brand trust in the aviation service distribution sector. Research Design, Data, and Methodology: Using existing literature, we propose a structural model exploring the relationships between key components which are service quality, brand trust, brand Image and brand advocacy. An online survey, based on prior literature, was administered to 287 Koreans who have experienced using facilities or services at Incheon International Airport (IIA). Statistical analysis employed confirmatory factor analysis (CFA) and structural equation modelling (SEM). Results: Research findings show significant impacts of airport service quality on brand trust. Increased brand trust positively influences airport brand image and advocacy. Conclusion: The study emphasizes the aviation industry's potential to boost brand trust through improved airport service quality via users' interactions. Service quality is critical factors in building brand trust. The findings emphasize the critical role of service quality in fostering brand trust. It underscores the importance of user's satisfaction with service quality in fostering brand trust which can lead to brand image and brand advocacy. The aviation industry should formulate policies and strategies to enhance brand trust improved service quality, thereby improving brand image and brand advocacy.

• Journal of Distribution Science
• /
• v.22 no.8
• /
• pp.29-36
• /
• 2024

Purpose: This study examines the impact of cultural dimensions as an intervening variable on taxpayer compliance in Makassar, Indonesia, with a focus on the Bugis tribe's cultural context. Research design data and methodology: The research aims to understand how attitudes, subjective norms, and perceived behavioral control, influenced by local culture, affect taxpayer compliance. A quantitative research design was employed, collecting primary data through questionnaires distributed to 150 taxpayers, with 125 valid responses analyzed using the Structural Equation Model (SEM) and Partial Least Squares (PLS) methodology. Results: The results indicate that cultural factors significantly mediate the relationship between subjective norms and taxpayer compliance, highlighting the role of local cultural values, such as "Siri Na Pacce," in shaping compliance behavior. Subjective norms positively influence both cultural attitudes and compliance, while attitudes and perceived control have a less significant impact. The findings suggest that integrating cultural awareness into tax policy and education can enhance compliance rates in culturally rich regions. Conclusions: this study underscores the importance of considering cultural dimensionsin tax administration, particularly in regions with strong cultural identities, to improve the effectiveness of tax compliance strategies. The findings contribute to the broader understanding of how cultural context influences economic behavior, offering insights for policymakers and tax authorities.

• Journal of Distribution Science
• /
• v.22 no.10
• /
• pp.103-110
• /
• 2024

Purpose: This study investigated the microbial status of beverages and desserts containing strawberries sold at coffee outlets in Busan, South Korea. The study sought to identify differencesin types of foodservice management and microbial status of beverages and desserts. Research design and methodology: This study compared microbial status between franchised and single-unit outlets via microbial laboratory tests. In addition, impact of risk factors on microbial status were investigated. We analyzed the data using independent t-tests and chi-square tests. In order to measure the impact of risk factors on microbial status, multiple regression was run. We expected franchised outlets to be more likely to apply food safety practices than single-unit outlets. The principal results: Results of microbial testing showed that franchised outlets had a higher microbial status than single-unit outlets. The results showed that franchise outlets were more inclined to adhere to food safety practices than single-unit outlets when it comes to total number of bacteria however for coliform group results showed otherwise. Major conclusions: These study results suggest that a standard food safety and sanitation manual for coffee outlets is needed, especially for single-unit coffee outlets. The current inspection items should be revised accordingly to ensure customer safety.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.5 no.4
• /
• pp.69-94
• /
• 2010

With the liberalization of distribution services industry since 1996 as well as changes in customers' appetite to spend and consumer behaviors, new forms of distribution services have mushroomed such as superstores and SSM(Super Supermarket), online shopping, TV shopping channels. On the contrary, traditional markets have sunk into a swamp of stagnation. As this stage of stagnation of markets negatively affects tradespeople's employment, livings, and local economy, the Korean government has conducted policies to support improvement of market facilities and management since 2004. However, the government has separated facility improvement from management improvement. As of June 2008, there are 1,550 traditional markets in Korea and among these there are 388 public markets which local governments have established and managed. Public markets have possibilities to be developed as successful models of market revitalization since they can get all-expenses-paid supports for facility improvement, control of merchandise assortment, educational program for merchants. Such successful (strategic hub) markets could become the benchmark for other neighboring markets and tradespeople which could lead other successful cases. In order to produce such effects, the market should have optimized facilities, merchandise and services, co-marketing strategies with nearby markets, group purchase strategies. The hub market could play a critical role in distribution of local goods and developing high value products.

• 재활복지
• /
• v.21 no.2
• /
• pp.169-190
• /
• 2017

The purpose of this study was to investigate item goodness-of-fit of Scale, Rasch rating scale model was applied to 5 dimensions 24 items of the Test of Performance Strategies (TOPS) in a sample of athletes with physical disabilities (n=215). An assumption to test Rasch Model, which is satisfaction of unidimensionality, is regarded through PCAR test, and WINSTEPS 3.65 program is used to test the goodness-of-fit of items. The results of this study were: First, 3-point rating category was appropriate for the TOPS instead of the existing 5-point rating category. Second, as a result of analyzing the goodness-of-fit of the items, 21 items of the TOPS were suitable, but 3 items were not. Third, the item reliability of person separation of the TOPS was acceptable, but the person reliability of item separation was not suitable and it was necessary to adjust the item order considering the difficulty level of the items. Fourth, as a result of comparing the individual attribute score and the difficulty level through the Item-Person Map, the distribution of the item difficulty distribution was shown to be biased in some factors compared to the personal attribute score distribution.

• Journal of Distribution Science
• /
• v.6 no.1
• /
• pp.25-46
• /
• 2008

The latest flow in Korea's distribution market is characterized by the deterioration of small/medium distribution market due to the rapid growth of multinational discount stores. As various multinational discount stores have merged with Korean discount stores (Homever acquired Carrefour and E-Mart acquired Wal-Mart), these discount stores have enlarged in size and dominated the market. On the contrary, small/medium distributors with relatively weak infrastructures are losing competitiveness in the market. Traditional marketplaces in local areas, in particular, are facing a serious crisis as they are neglected in the depressed local markets and have been beaten by the increasing discount stores and the diversifying distributors. The purpose of this study was to propose alternative plans to revitalize traditional marketplaces that are endangered by the unbalanced development of the distribution industry. This study analyzed the distribution performances and problems of Daejeon Metropolitan City and used the analysis to point out the problems specific to traditional marketplaces and propose a way to revitalize them. I hope that this study can help discount stores and small/medium distributors find balance in the market, and give traditional marketplaces the competitiveness to pursue sustainable growth.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.25 no.6
• /
• pp.1122-1130
• /
• 2001

Recently the importance of distribution channel design has been focused on due to a turbulent environment. The channel design strategy involves the choice of an optimal channel arrangement including channel width, channel depth, the types of intermediaries to be used, and the specific responsibilities of each channel member. The purpose of this paper is to investigate changes of distribution intensity in the infant & children's wear brand from 1997 to 1999, when Korea has faced changes before and after IMF intervention that influenced the Korean economy greatly. Thus, this study provides channel managers with some guidelines for establishing and adjusting the infant & children's wear channel strategies. The data is collected by the Korean Fashion Brand Annual published by Apparel News Co., from 1997 to 1999. infant & children's wear brands are selected and analyzed with Pearson correlation. Statistic analysis has shown different results in the type of brands in terms of distribution intensity. The type of brands between infant's wear and those for children differ in price and launching period. In the case of infant's wear brands, the launching period and total sales should be considered in designing channel distributions, while for children's brands total sales are significant. As the price increases, children's wear brands are significantly linked to their distribution intensity only in certain times at the starting point of IMF intervention. IMF intervention do not seem to influence the distribution intensity of infant's wear brands much as it did children's wear brands. It seems that the infant's wear industry is more stable than the children s wear industry. As a result, the marketer who plans distribution intensity for the infant's and children's wear brands should consider total sales, the launching period and the price according to the type of brands he deals with.

• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.11
• /
• pp.455-464
• /
• 2022

There are two unique characteristics of the datasets from a manufacturing process. They are the severe class imbalance and lots of Out-of-Distribution samples. Some good strategies such as the oversampling over the minority class, and the down-sampling over the majority class, are well known to handle the class imbalance. In addition, SMOTE has been chosen to address the issue recently. But, Out-of-Distribution samples have been studied just with neural networks. It seems to be hardly shown that Out-of-Distribution detection is applied to the predictive model using conventional machine learning algorithms such as SVM, Random Forest and KNN. It is known that conventional machine learning algorithms are much better than neural networks in prediction performance, because neural networks are vulnerable to over-fitting and requires much bigger dataset than conventional machine learning algorithms does. So, we suggests a new approach to utilize Out-of-Distribution detection based on SVM algorithm. In addition to that, bagging technique will be adopted to improve the precision of the model.