• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.12 s.159
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• pp.1661-1671
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• 2006

Many researchers have studied the process of retail evolution in the United States and in Europe. Although extensively studied(e.g., Agergaard, Olsen & Allpass, 1970; Oren, 1989), used in conceptual work(e.g., Cist, 1968), and applied as foundation in empirical work(e.g., HcNair, 1958), some limitations exist as follows: inability to cover multiple types of retail institutions and limited quantification. The purpose of this study is to build a conceptual framework combining existing retail evolution theories to overcome existing limitations. Data collection and analysis followed a qualitative research design, specifically a grounded theory type of design with a constant comparative analysis method. As a result of the study, a conceptual framework was built by synthesizing aspects of retail evolution theories and showed retail institution types in a change process.

• Fashion Information and Technology
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• v.10
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• pp.48-55
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• 2013

• Journal of the Korean Society of Costume
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• v.62 no.4
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• pp.46-57
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• 2012

Consumers currently show cross-channel shopping behavior between the Internet and store-based retail types when searching information and purchasing sensory products such as fashion items to reduce risks. As consumers compare both types of stores before making a purchase decision, the Internet retail type and store-based retail type started conflicting/competing each other as the combined retail evolution theory proposed(Kim & Kincade, 2006). The purpose of this study is to examine consumers' cross-channel shopping behavior between the Internet and store-based retail types and their importance and satisfaction with information provided by the Internet retail stores. This study employs a quantitative research method using a survey. Demographics, types of stores used for purchase, satisfaction with the type of stores, Internet shopping behavior, importance and satisfaction with product information in the Internet retail stores were asked. MANOVA and descriptive statistics were used to test hypotheses. The result shows that a majority of participants(36.2%) shows cross-channel shopping behavior between the two retail types. Also, most participants(72.4%) decide on their purchase and are satisfied only after cross-channel shopping between the two retail types. Participants were grouped based on their information search and purchase behavior. Significant differences among the groups were found in importance and satisfaction with product information provided by the Internet stores. In measuring participants' satisfaction, a majority of participants(42.1%) showed satisfaction with their purchase at store-based retail stores after information search via the internet, followed by the satisfaction with the purchase at the internet retail stores after information search at store-based retail stores(30.3%). Fifty one point nine percent of participants search information via the internet(vs.48% at store-based retail stores), and they especially look for fiber contents and design details with pictures(37.4%). The satisfaction with price information provided by the Internet retail stores is the highest (m=3.70 out of 5.0) among fashion product information followed by design information(m=3.48). On the other hand, size information, refund/exchange and fiber content information received low satisfaction scores(m=2.81, 2.71, 2.57 in turn). This research suggests the Internet retail stores should provide more variety of information in detail using technology and improving customer services. This study could provide the Internet retail stores a guideline to establish a satisfactory information delivery system.

• International Journal of Advanced Culture Technology
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• v.3 no.2
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• pp.1-14
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• 2015

The purpose of this paper is to reveal two problems in the existing inventory systems in retail market, and to suggest a Two-Bin System under Automatic Ordering System considering only base-stock. Large retailers already have a sophisticated inventory system based on an automatic ordering principle. However, why does the out-of-stock (OOS) happen in large discount stores in spite of having a good inventory system? This paper suggests two systems after finding the root causes concerning the previous question. For evaluating the performance of each system, the random 200 data set in each sample group was generated from MINITAB 16 and obeyed the Poisson distribution. The existing inventory system in retail market cannot help generating OOS due to indwelling contradiction in itself. The reasons are the ordering deadline and the relationship between ordering quantity and base stock. This paper also demonstrates that these previous studies on inventory fall into the closed loop. Also the paper shows that the performance of the replenishment policy was better than traditional methods dealing with ordering quantity and base stock.

• The Korean Journal of Food & Health Convergence
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• v.8 no.2
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• pp.1-6
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• 2022

Purpose: This study aims to examine the opportunities in the food industry in the context of non-fungible tokens (NFTs) and the metaverse. The metaverse expands offline experiences into a virtual space and provides users with the advantage of overcoming the limitations of physical space. Research design, data and methodology: With the development of various contents based on advanced technology, the metaverse is becoming popular among the MZ generation (comprising millennials and Gen Zs), who are skilled at navigating digital platforms. Moreover, the previously entertainment game focused service has expanded to the business field after COVID-19; activities on the metaverse are now making space for economic value creation. I examined the recent global trends in the context of NFTs and the metaverse as well as the existing cases in Korea. Results: Globally, gaming and performance platforms such as Roblox, Fortnite etc. are still concentrated in the entertainment industry. However, as shown by ZEPETO and ifland in Korea there are many opportunities in the retail and food industries. Conclusions: We analyzed the ecosystems of the retail and food and beverage sectors, where the metaverse will be useful in the future, and have suggested the implications of the opportunities provided by the metaverse.

• Korean Management Science Review
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• v.32 no.2
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• pp.69-78
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• 2015

This paper considers a Bayesian Poisson model for multivariate count data using multiplicative rates. More specifically we compose the parameter for overall arrival rates by the product of two parameters, a common effect and an individual effect. The common effect is composed of autoregressive evolution of the parameter, which allows for analysis on seasonal effects on all multivariate time series. In addition, analysis on individual effects allows the researcher to differentiate the time series by whatevercharacterization of their choice. This type of model allows the researcher to specifically analyze two different forms of effects separately and produce a more robust result. We illustrate a simple MCMC generation combined with a Gibbs sampler step in estimating the posterior joint distribution of all parameters in the model. On the whole, the model presented in this study is an intuitive model which may handle complicated problems, and we highlight the properties and possible applications of the model with an example, analyzing real time series data involving customer arrivals to a large retail store.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.155-162
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• 2007

Recently, retail store automation appliance market is changed with traditional POS systems techniques and RFID, radio POS system, and self checkout system, etc. in the foreign advanced distribution industry. Retailers and consumers require convenient POS system which can provide more functions and fast service. These requests bring to rapid evolution of various H/W and S/W corresponding with POS system. In this study with the POS systems and the RFID technology we develop core technology of movable u-POS system based on RFID that can use in large store. So we propose u-Cart system that can alternate the current shopping cart and POS terminal and that provide value added services to customer. As the result we present the configuration of u-Cart terminal device(WMDT : Wireless Mobile Data Terminal) including RFID reader module that can provide various information to consumer and some convenient client applications that are running in WMDT and u-POS administration service module.

• Korean Journal of Agricultural Science
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• v.29 no.1
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• pp.15-23
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• 2002

The percentage of watercore occurrence harvested on Nov. 6 (commercial harvest season) was over 80% but fruits seemed not to reach climacteric stage on the basis of ethylene evolution. The occurrence ratio and severity of watercore gradually decreased with the increase of preshipment storage for 2 months. The level of soluble solids did not show a clear tendency during preshipment storage but flesh firmness, fresh weight, and acidity gradually decreased. Although the overall quality of fruit reduced along with the increase of preshipment storage duration after exposure to retail condition at ambient temperature for 1 week, plastic film wrapping (PE 30 um) as well as plastic film wrapping plus ethylene scrubbing had a benefit on keeping freshness of fruit even after retail condition. Waxed fruit showed excellent appearance but browning disorder was developed. Results indicated that moisture barrier such as plastic film wrapping and ethylene removal have a great potential on keeping freshness of fruit during export which required long-term transport under low humidity environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.515-528
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• 2012

The aim of this article is to provide a study on the issue of inventory inaccuracy and to show the manner in which RFID technology can improve the inventory management performance. The objective of inventory control is to monitor the stock flow of merchandises in order to understand the operating profit and loss. A proper mechanism of inventory control could be made to help the profitability. As RFID is applied to inventory control, it can improve efficiency, enhance accuracy and achieve security. In this paper, we introduce the evolution of different mechanisms of inventory control with RFID system-counting method, collect-all method, and continuous monitoring method. As for improving the accuracy of inventory check during business hours, continuous monitoring is the solution. We introduce the infrastructure of the RFID inventory management system based on M2M architecture can make the inventory be efficiently monitored with instant warnings.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.3606-3629
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• 2018

The discovered high potential utility itemsets (HPUIs) have significant influence on a variety of areas, such as retail marketing, web click analysis, and biological gene analysis. Thus, in this paper, we propose an algorithm called HPUIM-QGA (Mining high potential utility itemsets based on a quantum genetic algorithm) to mine HPUIs over uncertain datasets based on a quantum genetic algorithm (QGA). The proposed algorithm not only can handle the problem of the non-downward closure property by developing an upper bound of the potential utility (UBPU) (which prunes the unpromising itemsets in the early stage) but can also handle the problem of combinatorial explosion by introducing a QGA, which finds optimal solutions quickly and needs to set only very few parameters. Furthermore, a pruning strategy has been designed to avoid the meaningless and redundant itemsets that are generated in the evolution process of the QGA. As proof of the HPUIM-QGA, a substantial number of experiments are performed on the runtime, memory usage, analysis of the discovered itemsets and the convergence on real-life and synthetic datasets. The results show that our proposed algorithm is reasonable and acceptable for mining meaningful HPUIs from uncertain datasets.