• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.12
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• pp.1367-1372
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• 2015

In this paper, we embed RFID tag into name plate of pole and store key value at its RFID tag in order to solve the problem for the management of name plate of pole, which identify by eyes of human for until now. The 900MHz RFID reader performs identification for stored key value, then its key value transmit into smart phone through Bluetooth. The smart phone transmit the key value into server through data communication network and receive again the necessary information after the authentication by the server. We develop pole information system that have such a structure.

• Journal of Distribution Science
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• v.21 no.11
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• pp.103-111
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• 2023

Purpose: This research aims to study the selection attributes influencing the purchasing decisions of the MZ generation in online luxury stores and explores the moderating effects of consumer value. The research aims to validate the impact of reasonable pricing, brand reliability, product variety, comprehensive product information, and user-friendly interfaces on customers' decision to purchase products from online luxury stores. Research design, data and methodology: A survey was conducted with 101 participants, and data analysis included exploratory and confirmatory factor analysis, as well as covariance structure model analysis. Results: The findings reveal that brand trust, product variety, and information sufficiency significantly influence brand affect, which in turn influences purchase intention. Additionally, the study identifies that consumers prioritizing hedonic value are more influenced by brand trust and information, while those prioritizing utilitarian value are more responsive to factors like reasonable price, product variety, and ease of use. Conclusions: The study provides insights into the preferences and behaviors of the MZ generation, highlighting their digital proficiency, mobile-centric lifestyle, desire for product variety, price-consciousness, social media influence, and the availability of personalized shopping experiences as factors contributing to their preference for online luxury stores. These findings contribute to understanding consumer behavior and decision-making processes in the context of online luxury shopping.

• Journal of Fashion Business
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• v.25 no.3
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• pp.90-107
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• 2021

This study concludes that communication based on interaction between broadcasting hosts and consumers is differently characterized by fashion live commerce types. Subcategories of the types of fashion live commerce were created and used in the analyses of domestic consumer awareness. Three subcategories were created: The department store type, Designer brand type, and Influencer host type. Comments representing consumers' awareness that appear immediately during real-time broadcasting were collected and used for the analyses. The frequency and TF-IDF-based top keywords were selected to analyze the semantic network and CONCOR, and the top keywords were analyzed by deriving the values of degree of centrality. The analysis identified that a group of product attributes and a group of live commerce offered value were common between the three types. As for the group characteristics classified by type, for the department store types, brand attributes, benefits, and values from pursuing the products were identified. For designer brand types, a group of viewers' responses and inquiries were identified. It is interpreted that the satisfaction value gained from hosts with product expertise has been clustered. Influencer host types have affirmed a group of external product values. A close relationship is formed and it is thought to have led a group of values to trust the external image of the product. This study carries significance in analyzing real-time comment data from consumers using fashion live commerce to empirically reveal the characteristics of each type.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.3 no.1 s.4
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• pp.1-12
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• 2004

Recently, the Korea Highway Company is replacing their prepaid plastic cards with a smart card, called $Hipass^{PLUS}$ Card. In order to use $Hipass^{PLUS}$Card in the prepaid payment system, LSAM, which is to store the value into $Hipass^{PLUS}$ Card is needed. LSAM is also responsible to store or retrieve the value from PPSAM. For the safety of Korea Highway electronic payment system, the functionality and security of LSAM should be faultless. This paper developed a test module including the test method, the test checklist, and the test procedure. The test module examines the functionality and security of loading the value from PPSAM to LSAM, retrieving the value from LSAM to PPSAM, and loading the value from LSAM to $Hipass^{PLUS}$ Card. The test module contains the method and the procedure to test the standard items by the test checklists. The test items and test checklists of LSAM was selected under the provision of the specification of Korea Highway Company and ISO standard. The test module evaluates the functionality, the security and the compatibility of LSAM. After the evaluation test of LSAM using the test module, LSAM satisfied the characteristics of the functionality, security, and compatibility.

• Asia Marketing Journal
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• v.10 no.2
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• pp.99-123
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• 2008

Consumer satisfaction/dissatisfaction is key determinant of brand loyalty and store patronage behavior. But the results of many customer satisfaction surveys implemented by department stores show that consumer satisfactions do not predict the actual patronage behaviors well. The main reason of these surprising results would be that the consumer satisfaction indexes do not include some important determinants of consumer satisfaction. Many customer satisfaction surveys mainly focus on the evaluation of functional benefits including product assortments, merchandise prices and locational convenience. Recent studies indicate that emotional/hedonic benefits strongly influence the consumer satisfaction, intention to repurchase and intention to revisit. Our study suggests that both functional values and hedonic values should be included in developing the index of consumer satisfactions. The purpose of our study is to investigate the relationship between shopping value and consumer satisfaction, and actual patronage behavior. Shopping values is defined as the difference between total benefits and total shopping costs. Total benefits include the dimensions of product quality, service quality, and hedonic benefits. Total costs are classified as the monetary costs and non-monetary cost. The conceptual framework developed for this empirical study is as follows.

• Management & Information Systems Review
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• v.25
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• pp.115-142
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• 2008

Much attention has been devoted recently to the concept of brand equity. The Definition of brand equity is the added value with which a brand endows a product. From a consumer's perspective, this added value can be viewed in terms of enhancing a consumer's ability to interpret and store large amounts of information about a product. Online, several different approaches are also need to enhance brand equity of website. Noteworthy, significant research has not been conducted on the effectiveness of experiences in websites. As such, several researchers are discussing mainly as strategic alternatives that websites can use to build brand equity. This article explores the roles of many online brand experience variable like attention, arousal, telepresence, and flow on brand equity factors. And findings show that these kinds of experiences variable can be major factors that lead the better brand association, strong brand loyalty and brand equity.

• Journal of the Korea society of information convergence
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• v.8 no.1
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• pp.31-38
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• 2015

Modern consumers tend to show value-oriented, image-centered, individualized, and emotionalized consumption behavior, not the consumers who are simply provided with products. Department store industry actively corresponds to the changing consumption behaviors of consumers and pays attention to Visual Merchandising(VMD) as a strategy to visually differentiate stores and sales environments. This study shows 6 parts of effective VMD; presentation of product, product display, color composition, planning of lighting, POP and sign display.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.27 no.2
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• pp.71-84
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• 2021

The purpose of this study is to establish a new management strategy to meet customer needs of discount stores as customers demand higher and more diverse services in addition to low prices. An empirical analysis on consumers to explore the structural relationships between the quality, environmentally friendliness, consumer perception, service value, and emotional response of retail ready packaging (RRP) in discount stores in order to find out how they affect customer satisfaction and repurchase intention. First, it was confirmed that the RRP quality of discount stores that affects customer satisfaction is mediated by the emotional response. Second, it was found that RRP in discount stores should continue to devise strategies to improve service quality along with efforts to provide more benefits perceived by customers to increase customer satisfaction and repurchase intention. Third, it was confirmed that the RRP image of discount stores has a positive (+) effect on service value, emotional response, customer satisfaction, and repurchase intention.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.64-72
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• 2021

XML message brokers have a lot of importance because XML has become a practical standard for data exchange in many applications. Message brokers covered in this document store many users. This paper is a study of the processing of twig pattern queries in XML documents using branching node streams in XML message broker structures. This work is about query processing in XML documents, especially for query processing with XML twig patterns in the XML message broker structure and proposed a method to reduce query processing time when parsing documents with XML twig patterns by processing information. In this paper, the twig pattern query processing method of documents using the branching node stream removes the twigging value of the branch node that does not include the labeling value of the branch node stream when it receives a twig query from the client. In this paper, the leaf node discovery time can be reduced by reducing the navigation time of nodes in XML documents that are matched to leaf nodes in twig queries for client twig queries. Overall, the overall processing time to respond to queries is reduced, allowing for rapid question-answer processing.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.