• Journal of Digital Convergence
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• v.18 no.3
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• pp.383-393
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• 2020

The purpose of this study is to investigate the condition of the production facilities of severely impaired products for two years from 2017 to 2018, and to suggest ways to improve the preferential purchase system for the severely disabled comparison with previous study. As of June 2018, 267 out of 544 sites were research and analyzed. As a result, first, the average number of severely disabled workers is 16.51, and the total number of workers, disabled workers who participated in direct production, and non-disabled workers showed the trend of increase in 2018. Second, the average monthly wage of workers with disabilities participating in direct production increased slightly from 790,977 won in 2017 to 829,810 won in 2018. Third, Analysis of changes in sales of production facilities before and after designations showed that overall sales of production facilities increased after designations and after designations. Improvement measures include preferential purchase rate improvement and support for production facilities and purchasing public institutions, classification of roles of performance organizations, Clarification of the role of priority purchasing promotion committee for products produced by people with severe disabilities, complementing the minimum wage exclusion system.

• Journal of the Korea Safety Management & Science
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• v.14 no.1
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• pp.129-136
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• 2012

This study proposes a collaboration system framework on the web service in a supply chain to implement an efficient virtual supply chain and improve an ability to fulfill received orders over a supply chain. The system based on the framework proposed in this paper plays an important role for automatic order negotiation and placing/receiving an order noticed in web service by the main system. Furthermore, it can evaluate the fulfillment of received orders over a supply chain by using the transaction results from hierarchically related vendors and establish efficient manufacturing plans. In a word, this system is the automated system for creating manufacturing plans, placing and receiving orders. A little more important main function of this system is that it has a dynamic evaluation capability about fulfillment with received orders over a supply chain, and improves the evaluation method of fulfillment ability with received orders with related to direct dealing vendors, which is a main problem in existing system. As a result, this system is able to reduce the work load of the sales and purchasing materials, production control division, to manage accurate inventory promptly, to maintain the optimal inventory level by analyzing the information of fulfillment ability with received orders, and to enhance the level of service for customers.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.37
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• pp.161-185
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• 2008

In 2006, the share of fisheries distribution in Busan amounted to 1.9 million ton, which was 41 percent of the whole country. In details, coastal fishery 334 thousand ton(14% of the whole country), deep sea fishery 452 thousand ton(82%), import fishery 964 thousand ton(70%), export fishery 157 thousand ton(43%) were distributed in Busan region, respectively. According to distribution share, import(50%), deep sea fishery(24%), coastal fishery(18%), export(8%) are main category of fisheries distribution in Busan. After the institutional changes in 1997, that is, from monopoly to the competitive systems are implemented, the share of sales volume through a home trust market decreased gradually since 2000. Especially, the share of direct sales in farming fisheries sector amounted to 73.8 percent of total production volume, 80.7 percent of production value in 2005. Furthermore, the share of fisheries sale through e-commerce is increasing owing to the growth of IT and competitive price of its products. and the sale share of large discount store is also on the 10% more increase. Hereafter these structure changes of fisheries distribution in Busan will be more intensified. Therefore, after reflecting the change in distribution policy of Busan Fisheries, the directions of distribution policy should be established, as follows. $\cdot$ Distribution policy to prepare for increasing of non-trust market sales $\cdot$ Fisheries distribution policy to prepare for increasing of direct transaction like e-commerce $\cdot$ Distribution policy to prepare for increasing of sales ratio in large discount store $\cdot$ Distribution policy for making up sound purchasing circumstance of Fisheries $\cdot$ Distribution policy for reducing the fisheries distribution cost $\cdot$ Distribution policy to prepare for increasing of direct carrying the deep sea fisheries and import fisheries to Seoul and $Inch'{\breve{o}}n$ section $\cdot$ Distribution policy for implementing the information system for managing fisheries transaction $\cdot$ Distribution policy for advancing the export & import management of fisheries $\cdot$ Distribution policy for establishing transaction principle reflecting the peculiarity in fishery distribution(to enacting independent fishery law)

• Journal of Distribution Science
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• v.14 no.10
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• pp.153-164
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• 2016

Purpose - In general, large companies have larger organizations, funds, and systems to provide more effective and efficient services in the market. However, development needs to support the livelihood of ordinary citizens who work for small businesses as well. This research suggests that a new distribution channel, called a "foothold style Kosa mart," that cooperates jointly with a distribution center and a large discount mart can provide direct solutions to small and mid-size distributors. This new distribution channel can achieve a limited type of "Nadle shop (small supermarket) foster project" related to building a joint distribution center and improvement in wholesale supply. Research design, data, and methodology - Data about the Korea distribution situation, the Nadle stores, and the logistics centers were collected from literature, Statistics Korea, journals, and reports. Specifically, we investigated information about Kosa Mart and Nadle stores. We focused on the redesign of the distribution center for the Nadle store. Results - The Kosa Mart distribution center now includes 18 warehouses, and has been handling 2000-3000 items. Most of the warehouses have been simply designed and items loaded and stored without refrigeration; thus, it is possible to store only products of certain manufactured goods. The current logistics center has no wholesale function because it failed to resolve the joint purchasing and product supply issues of competitively priced products. Conclusions - This study aimed to identify ways to strengthen the competitiveness of small- and medium-sized retailers. A Kosa Mart redesign aims to unifying the logistics center, stores, and customers. First, the joint wholesale logistics system, equipped with an integrated ordering system, needs to process customer orders and store orders at the same time. Second, excellent small business product development has to connect with production. Third, the store composition needs to support a shipping hub. Fourth, the Mart differentiates itself from convenience store goods by supplying regional and specialized products to customers. Fifth, a service buying agent and direct transactions between producers and consumers need to be established, and exhibits and displays of goods need to be improved.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.5
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• pp.1-10
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• 2002

This study is based on user requirements before the implementation of B2B order and delivery systems. For accurate and easy understanding of the user's requirements I have expressed my specifications in graphical method and to make use of multiple diagrams, I have used UML. In these specifications, I have implemented B2B order and delivery systems with the use of XML, with company 'N' which is domestic aluminum manufacturer as the study object. The results of this study are as follows. First, both a developer and a user can understand the problems associated with specifying study objects through this system. Second, the communication between developers and users is more effective using this system. Third programming became easier because or the formalized specifications of this system. Fourth, this system facilitates the rapid handling of marketing department and stock management. Fifth, order and reservation management became more rapid and accurate through the use of this system. Sixth, this system can help nate B2B order and delivery systems that can be direct transactions. Seventh, this system helps to reduce purchasing costs by allowing for the rapid and simple order and delivery of raw materials. Finally, this study emphasized the advertising effect of an aluminum vessel.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.19-38
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• 2017

Collaborative filtering (CF) algorithm has been popularly used for implementing recommender systems. Until now, there have been many prior studies to improve the accuracy of CF. Among them, some recent studies adopt 'hybrid recommendation approach', which enhances the performance of conventional CF by using additional information. In this research, we propose a new hybrid recommender system which fuses CF and the results from the social network analysis on trust and distrust relationship networks among users to enhance prediction accuracy. The proposed algorithm of our study is based on memory-based CF. But, when calculating the similarity between users in CF, our proposed algorithm considers not only the correlation of the users' numeric rating patterns, but also the users' in-degree centrality values derived from trust and distrust relationship networks. In specific, it is designed to amplify the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the trust relationship network. Also, it attenuates the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the distrust relationship network. Our proposed algorithm considers four (4) types of user relationships - direct trust, indirect trust, direct distrust, and indirect distrust - in total. And, it uses four adjusting coefficients, which adjusts the level of amplification / attenuation for in-degree centrality values derived from direct / indirect trust and distrust relationship networks. To determine optimal adjusting coefficients, genetic algorithms (GA) has been adopted. Under this background, we named our proposed algorithm as SNACF-GA (Social Network Analysis - based CF using GA). To validate the performance of the SNACF-GA, we used a real-world data set which is called 'Extended Epinions dataset' provided by 'trustlet.org'. It is the data set contains user responses (rating scores and reviews) after purchasing specific items (e.g. car, movie, music, book) as well as trust / distrust relationship information indicating whom to trust or distrust between users. The experimental system was basically developed using Microsoft Visual Basic for Applications (VBA), but we also used UCINET 6 for calculating the in-degree centrality of trust / distrust relationship networks. In addition, we used Palisade Software's Evolver, which is a commercial software implements genetic algorithm. To examine the effectiveness of our proposed system more precisely, we adopted two comparison models. The first comparison model is conventional CF. It only uses users' explicit numeric ratings when calculating the similarities between users. That is, it does not consider trust / distrust relationship between users at all. The second comparison model is SNACF (Social Network Analysis - based CF). SNACF differs from the proposed algorithm SNACF-GA in that it considers only direct trust / distrust relationships. It also does not use GA optimization. The performances of the proposed algorithm and comparison models were evaluated by using average MAE (mean absolute error). Experimental result showed that the optimal adjusting coefficients for direct trust, indirect trust, direct distrust, indirect distrust were 0, 1.4287, 1.5, 0.4615 each. This implies that distrust relationships between users are more important than trust ones in recommender systems. From the perspective of recommendation accuracy, SNACF-GA (Avg. MAE = 0.111943), the proposed algorithm which reflects both direct and indirect trust / distrust relationships information, was found to greatly outperform a conventional CF (Avg. MAE = 0.112638). Also, the algorithm showed better recommendation accuracy than the SNACF (Avg. MAE = 0.112209). To confirm whether these differences are statistically significant or not, we applied paired samples t-test. The results from the paired samples t-test presented that the difference between SNACF-GA and conventional CF was statistical significant at the 1% significance level, and the difference between SNACF-GA and SNACF was statistical significant at the 5%. Our study found that the trust/distrust relationship can be important information for improving performance of recommendation algorithms. Especially, distrust relationship information was found to have a greater impact on the performance improvement of CF. This implies that we need to have more attention on distrust (negative) relationships rather than trust (positive) ones when tracking and managing social relationships between users.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.4
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• pp.173-189
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• 2015

The purpose of this study is to present the classification and operation systems of fashion offline stores. This research analyzed fashion literatures, articles and papers published by fashion-related companies and interviewed fashion practitioners. This research can be used as information for practitioners of the domestic fashion brand and students of fashion majors. The classification and operation systems of fashion offline stores are as follows. 1. The types of fashion offline store is classified as a form of road shop, department store, complex shopping center, select shop, outlet, and fashion wholesale retail specialty store. 2. The road shop is classified flagship store, franchise store, direct sales store, and street brand store. 3. The department store is recently using strategy to improve the profit rate, as setting up the select shop, expand the import contemporary brand stores, the men's brand stores, SPA brand stores, the street brand stores, and the soho internet shopping mall brands instead of reducing the national brands. 4. Most forms of fashion offline stores enhanced the functions to combine the catering, cultural activities and purchasing the lifestyle-related products, as well as fashion items. 5. The types of the operation system in fashion offline stores is classified as direct operations, franchise operations, middle management operations, and fully insert operations. 6. Franchise operations are tended to decline, however middle manager operations are overwhelming.

• The Research Journal of the Costume Culture
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• v.26 no.6
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• pp.951-965
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• 2018

The purpose of this study was to investigate the effect of perceived risk, community usage motive, and price sensitivity of customers who purchase children's wear directly from overseas on customer satisfaction. Specifically, this study is aimed at verifying the moderating effect of price sensitivity when perceived risk and community usage motive significantly influence customer satisfaction. A survey was conducted among consumers who experienced directly purchasing children's wear from overseas and engaging in communities. A total of 415 questionnaires were distributed, which 41 responses were insincere and excluded; thus, 374 responses were analyzed. Results of this study are as follows. First, the analysis on how perceived risk and community usage motive influence customer satisfaction reveals the significant influence of economic and social psychological risk on customer satisfaction. Moreover, informational, recreational, and social emotional usage motive have a significant influence on customer satisfaction. Second, the effect of perceived risk and community usage motive on customer satisfaction based on different levels of price sensitivity was verified. As a result, delivery and economic risks affect customer satisfaction for consumers with high price sensitivity. Moreover, recreational usage motive has a significant influence on customer satisfaction for high price sensitive consumers. In conclusion, perceived risk negatively impacts customer satisfaction. Therefore, it is essential to provide a system that can reduce the perceived risk of consumers who purchase children's wear directly from overseas.

• International Commerce and Information Review
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• v.17 no.2
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• pp.173-197
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• 2015

The development of IT expanded the scale of e-commerce, and grew large Internet shopping malls. As having raised the consumers' interest in overseas direct purchase(ODP) recently, the number and purchasing amount of ODP are constantly increasing. However, consumers need to pay attention to the potential problems which might happen by consumer's damage and conflict, as increasing the consumption through ODP. Because consumer's damages on utilizing ODP happen to the reason such as the trust problem between business and consumer due to the way which traded non face to face, non-compliance of goods delivery, returns, and refunds, and information asymmetry of items, a large number of consumer's damages in a wide range are much more likely to occur nowadays. The purpose of this study is to analyze the current state of ODP, and propose consumer damage's reduction and policy of the government through pre or post scheme for consumer damage's relief and consumer protection. As the compensation for consumer damages is actually inadequate, this study proposed a feasible alternative to the adoption of e-commerce insurance for both aggressive compensation and protection for consumer's damages and risk transfer and sustainable development of e-commerce.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.61-67
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• 2013

The B2B e-commerce assurance system supports e-commerce purchases by Credit Guarantee Fund. This process seeks to replace a variety of current systems, including B2C, the credit card payment method on B2B, 2001 Credit Guarantee Fund and the Bank, logistics, e-MP (Market Place), and Business-to-business e-MP (business-to-business electronic payment settlement system). Over the past 10 years of its operation, the e-MP service (B2B e-commerce electronic payment systems) has contributed much to the growth of SMEs. The development of business-to-business e-commerce transactions systems and limits have provided a stable purchasing platform, improving corporate competitiveness. However. the project-based scale of credit guarantee institutions has limitations. To overcome these limitations, we propose a new model of direct or indirect government support for small business e-MP projects. This new model will support the B2B electronic commerce by allowing it to directly involve guarantee institutions directly in B2B online transactions. Therefore, this study urges government backing of the SME based B2B online business model with e-MP service.