• The Research Journal of the Costume Culture
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• v.8 no.1
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• pp.40-52
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• 2000

The purposes o this study were to investigate buying behaviors of patrons of six retail store types for clothing and the satisfaction levels of the six store types (department stores, specialty stores, chain store, discount stores, bonded goods stores and traditional market), and to test the differences in purchase behaviors and store satisfaction levels among the groups determined by demographic characteristics. A questionnaire survey was administered to male and female university students living in the Seoul metropolitan area from April 27 to May 11, 1999 ; 443 were collected and 391 were used for the data analysis. Data were analyzed by SPSS statistical package. Descriptive statistics, t-test, ANOVA, Chi-square analysis and Duncan's multiple range test were employed for the data analysis. In terms of the store usage, most of the subjects tended to choose the store types they patronized for buying coats, suits, blouses, T-shirts, slacks/skirts and jeans items ; but, they used department store and specialty store for coat, suit, blouse, T-shirt, slacks/skirt and jeans for purchasing selected clothing items. Regarding criteria used for store selection, the most important criterion was the diversity of products offered and other store types. In terms of the store satisfaction levels of the six store types, the patrons of all store types were most satisfied with the stores they patronaged.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.5
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• pp.729-740
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• 2008

The purposes of this study are to identify service quality elements using Kano's theory, and to examine differences in service quality characteristics among apparel store types. Women over 20 years-old from metropolitan areas in South Korea participated in the study and a quota sampling method was used. The questionnaire was composed of three sections; importance of quality, degree of satisfaction, and demographic factors. Data from 525 questionnaires were used for the statistical analysis. The results were as follows: First, four factors of service quality(sales person, variety of goods, policy, and facilities) were identified. According to Kano's quality elements, sales person was categorized into both one-dimensional quality and must-be quality, and variety of goods, policy, and facilities categorized into attractive quality. Second, sales person, in all store types, was included in one-dimension quality elements and sales person and variety of goods, in local store, were included in attractive quality element. Service policy, in chain store and local store, was included in attractive quality element. Findings of this study provide both industry and academic researchers with a guide to increase customer satisfaction in the store service strategies.

• Journal of Distribution Science
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• v.12 no.1
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• pp.13-19
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• 2014

Purpose - This study investigated relationship quality and/or loyalty, from the viewpoint that merchants and consumers could develop the traditional market. It reorganized variables to find the conditions of values that could stimulate consumers' motives to revive the traditional market. Research Design, data, and methodology - This study employed 202 copies of effective questionnaires, based on the data of Yang & Ju (2012), to conduct correlation, regression, and structured equation modeling (SEM). Results - The results emphasized product and store atmosphere as store selection attributes to consider in the minimum error correction (MEC) model; service factor was not significant. Further, consumers valued relationship quality in the test of mediated effects of the sub-factors of store selection attributes, including consumers' social and emotional value. The relationship quality significantly influenced consumers' value in traditional markets that needed to improve and develop using several variables. Conclusions - This study revealed connections between attributes, consequences, and values using the causal relation model, to generate an optimal model based on a practical and theoretical background and proposed ways to obtain consumer-related information easily.

• Proceedings of the Korean DIstribution Association Conference
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• 2000.10a
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• pp.1-13
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• 2000

공급 사슬 관리 (Supply Chain Management, 이하 SCM)란, 원자재를 구매하여(Buy), 완제품을 생산하고(Make), 이를 유통 채널을 통하여 운송/보관하며(Move/store), 최종 소비자에게 판매하는(Sell)데 포함되는 비즈니스 네트워크를 다룹니다. (중략)

• KSCI Review
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• v.1 no.2
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• pp.73-94
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• 1995

In this paper, design of efficient NDB(Network Data Base) for the activation plan of chain information network. The DB structure build up, logical structure, store structure, physical structure, the data express for one's record, and the express using linked in the releation of data. Also express as hierarchical model on the DSD(Data Structure Diagram) from the database with logical structure. Each node has express on record type, the linked in course of connective this type, the infuence have efficent of access or search of data, in the design for connection mutually a device of physical, design for database, and construction a form of store for logical. Also activation of chain information network of efficent, using POS(Point Of Sale) system in OSI(Open Systems Interconnection) environment for network standardization, and build up network a design for system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.668-685
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• 2019

Provision of higher throughput without sacrificing consistency guarantees in replication systems is a critical problem. In this paper, we propose a novel approach called Bidirectional Chain Replication (BCR) to improve throughput in traditional Chain Replication (CR) through better utilization of computing and communication resources of the chain. Unlike CR where the whole replicated data store is treated as a single unit, in BCR the replicated shared data at each server in the chain is split into two disjoint Logical Partitions ($LP_1$, $LP_2$). This forms two chains running concurrently on the same hardware in two opposite directions; the first chain ($CR_1$) exclusively manipulates data objects in $LP_1$, while the second chain ($CR_2$) exclusively manipulates data objects in $LP_2$, therefore, conflict is avoided and concurrency is guaranteed. The simultaneous employment of these two chains results in better utilization of hardware in the sense that the two chains can evenly share the workload, hence, throughput can be improved without sacrificing consistency. Experimental results showed an improvement of approximately 85% in throughput of BCR over CR.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.67-74
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• 2022

In this study, the core competencies of 7-Eleven, Japan's representative convenience store, were derived through a qualitative analysis method using VRIO (value, rarity, Imitability, and organization) framework, a management strategy model based on Resource-Based View (RBV). As a result of VRIO analysis, the value can be based on the scale that 7-Eleven ranks first in the Japanese convenience store industry in terms of the number of stores and market share that it has developed based on capital. The rarity is based on the fact that raw material procurement, the main activity of a company, is establishing the nation's largest distribution channel in the entire process, from producers to logisticians and franchisees. The difficulty for Imitability is based on a dominant strategy and has secured a competitive advantage by opening stores in a specific area, improving awareness, and raising barriers to entry. As the largest company in the convenience store industry, it is confirmed that 7-Eleven is the result of organizational power that has built stores not only in Korea but also in 16 countries around the world.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.129-164
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• 2023

In a situation where the use and introduction of Large Language Models (LLMs) is expanding due to recent developments in generative AI technology, it is difficult to find actual application cases or implementation methods for the use of internal company data in existing studies. Accordingly, this study presents a method of implementing generative AI services using the LLM application architecture using the most widely used LangChain framework. To this end, we reviewed various ways to overcome the problem of lack of information, focusing on the use of LLM, and presented specific solutions. To this end, we analyze methods of fine-tuning or direct use of document information and look in detail at the main steps of information storage and retrieval methods using the retrieval augmented generation (RAG) model to solve these problems. In particular, similar context recommendation and Question-Answering (QA) systems were utilized as a method to store and search information in a vector store using the RAG model. In addition, the specific operation method, major implementation steps and cases, including implementation source and user interface were presented to enhance understanding of generative AI technology. This has meaning and value in enabling LLM to be actively utilized in implementing services within companies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.6
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• pp.1600-1619
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• 2023

Organizations and other institutions have recently started using cloud service providers to store and share information in light of the Internet of Things (IoT). The major issues with this storage are preventing unauthorized access and data theft from outside parties. The Block chain based Security Sharing scheme with Data Access Control (BSSDAC) was implemented to improve access control and secure data transaction operations. The goal of this research is to strengthen Data Access Control (DAC) and security in IoT applications. To improve the security of personal data, cypher text-Policy Attribute-Based Encryption (CP-ABE) can be developed. The Aquila Optimization Algorithm (AOA) generates keys in the CP-ABE. DAC based on a block chain can be created to maintain the owner's security. The block chain based CP-ABE was developed to maintain secures data storage to sharing. With block chain technology, the data owner is enhancing data security and access management. Finally, a block chain-based solution can be used to secure data and restrict who has access to it. Performance of the suggested method is evaluated after it has been implemented in MATLAB. To compare the proposed method with current practices, Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography (ECC) are both used.

• Journal of Global Scholars of Marketing Science
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• v.16 no.1
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• pp.45-71
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• 2006

Questionnaire data of 287 patrons of Tesco's Homeplus, Carrefour, Ermart, and Wal-rnart in the northern Daegu, Korea, using a structural equation model, were analyzed to investigate the hierarchical effects of values on discount store re-patronage intention as a measure of store loyalty, mediated by customers' evaluations of store associations. It was revealed that while customers' social affiliation value has a positive effect on store atmosphere evaluation, customers' self-actualization value has a positive impact on both after-sale service and employee services. It was also revealed that three associations such as access to a store, interior design, and employee services in their descending order have strong positive influences on the formation of customers' re-patronage intention. Theoretical and managerial implications are discussed in the conclusion.