• 베이커리
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• no.1 s.330
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• pp.119-121
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• 1996

한 잔의 그윽한 원두커피의 향은 매장전체의 분위기를 일신하기에 충분하다. 베이커리업계는 관련법규 개정으로 93년 6월부터 점포에 커피를 결합하기 시작했다. 그러나 커피의 매출 기여도는 매우 미미한 실정이다. 시장 환경의 변화에 적절히 대응하며 다양해진 소비자의 기호에 유연하게 반응하는 것은 사활이 걸린 문제다. 이에 본지는 기존 원두커피결합매장의 문제점을 짚어보고 커피를 효과적으로 결합, 매출확대를 꾀할 수 있는 방안을 찾아본다.

• Journal of Conservation Science
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• v.28 no.1
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• pp.75-86
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• 2012

Iksan Mireuksaji Stone pagoda was built A.D. 639 when King Moo was governing Baekje, in which Sarira has been enshrined in a hole dug in the stereobate for 1,370 years. In South Korea, about 150 cases of Sarira have been found so far. In this connection, many studies have been conducted on how to manage it and on its genesis, but there have been no data on environments to which it has been exposed. In this study, accordingly, researches were made into environments to which Sarira has been exposed as well as into how much it has been damaged under the environments. Sarira in wooden pagodas was influenced greatly by water, but that in stone pagodas by saturated relative humidity. Thus, Sarira in the containers was significantly influenced by the outside temperature for 1 to 2 days, but had no any reaction to humidity. The time it took for the humidity in a Sarira container to reach its maximum, varied depending upon the humidity of the day when Sarira was enshrined. In the case of this pagoda, the humidity reached its maximum 30 days later.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.373-376
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• 2011

본 논문에서는 체험마케팅 중에도 감성 마케팅과 관련한 매장 내 환경이나 소비자 관점에 관한 연구는 그리 많지 않은 편이며, 특히 매장에서 경험하는 감각적 요소들이 소비자들의 소비감정과 어떻게 관련되고 소비자 행동 특성에 어떠한 영향을 미치는지에 관한 조사결과 감각, 감성, 관계/행동, 충성도 등을 분석한 결과 제안모델이 매장에서 체험이 고객충성도에 미치는 영향이 우수함을 제안하였다.

• International Area Studies Review
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• v.21 no.1
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• pp.79-96
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• 2017

As Chinese luxury consumption is rapidly expanding and dominant in global luxury market, it becomes very critical to understand Chinese consumers' luxury consumption pattern. Under this circumstance, this study empirically tested the impacts of Chinese consumers' perceived service quality of luxury stores and extended self of luxury on luxury purchasing intention. The result of this study is as follows. First of all, Chinese consumer' perceived service quality of luxury store and extended self of luxury have positive impacts on luxury purchasing intention. However, Chinese consumer' extended self of luxury has partial interaction impact on luxury purchasing intention. From the results, to promote Chinese consumers' luxury consumption, marketers must improve the service quality of luxury store and extended self of luxury. This research not only enrich theoretical knowledge about Chinese consumers' luxury purchase behavior, but also assist marketer to develop luxury marketing strategies in China.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.1513-1516
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• 2005

백화점이나 대형할인점과 같은 기존 매장에서의 쇼핑은 고객이 구매할 물건을 카트에 담아 이동하며 쇼핑을 마친 후 값을 지불하는 방식으로 구성되어 있다. 카트를 이용하는 쇼핑 방식은 여러가지 장점을 가지고 있으나 공간의 부족으로 카트가 다른 고객들의 진로에 방해가 되기도 하고 또한 무거운 카트를 끌고 다녀야 하는 등의 불편한 문제점들도 가지고 있다. 본 논문에서는 카트를 제공하는 기존 매장의 문제점을 살펴보고 그 문제점을 해결하기 위한 방법으로 카트가 없는 매장 아이디어를 제안한다. 본 논문에서 제시하는 Cart-free Mart 는 Bluetooth, RFID, 휴대전화 등을 이용하여 카트 없이 고객이 원하는 상품을 구매할 수 있도록 도와주는 시스템이며, 미래의 유비쿼터스형 매장 시스템에 적용되면 고객들은 물론 매장의 운영 효율 측면에 있어서도 유익할 것으로 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.581-582
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• 2023

코로나 19 이후 무인매장에 대한 수요가 꾸준히 증가하며 빠른 시장 규모 성장을 보이고 있다. 그러나 관리자의 부재로 감시가 어렵고 즉각적인 대응이 불가능한 환경으로 인해 도난 문제 또한 꾸준히 발생하고 있다. 본 논문은 YOLO 객체인식 기술을 활용한 무인매장 도난 감지 시스템과 실시간 메일 알림 기능을 제안한다. 이를 통해 무인매장에서 발생하는 도난 범죄를 예방하고, 즉각적인 조치를 가능하게 함으로써 보다 안전하고 효율적으로 무인매장을 관리할 수 있게 한다.

• Information Systems Review
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• v.10 no.2
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• pp.195-209
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• 2008

Customers' needs change every moment. Profitability of stores can't be increased anymore with an existing standardized chain store management. Accordingly, a personalized store management tool needs through prediction of customers' preference. In this study, we propose a recommending procedure using dynamic customers' preference by analyzing the transaction database. We utilize self-organizing map algorithm and association rule mining which are applied to cluster the chain stores and explore purchase sequence of customers. We demonstrate that the proposed methodology makes an effect on recommendation of products in the market which is characterized by a fast fashion and a short product life cycle.

• The Journal of the Korea Contents Association
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• v.3 no.1
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• pp.47-57
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• 2003

The POS(Point Of Sales) system is S/W and H/W that enables to analyse and evaluate sales information that has been collected in the real-time at point of sales by each department in the store. However, existing POS systems are mainly aiming at the large scaled store with the specific high-priced equipment, so that in applying them to a store specializing in food have weak point to use them in the cost or scale respect. In this paper, we design and implement a web based POS system with PC(Personal Computer) and PDA/(Personal Digital Assistant) in wireless internet environment to apply POS system to a store specializing in food, without specific equipments.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.221-229
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• 2015

In this paper, it should be established what influence to customer satisfaction by advertisement and promotion, store management and quality of products of large discount stores, and in order to present the structural relation model. In order to establish it empirically, this study proposed a structured alternative model by conducting a survey to customers live in metropolitan areas who use biggest discount store, through the SPSSWIN 18.0 and AMOS 18.0. This analysis shows a number of points, first, customers were aware of having meaningful impact on store management to products quality. Through broad and clean store represents confidence appears to have a products quality. Second, the store management were shown to have a meaningful impact on customer satisfaction. Cleanliness and atmosphere of store, convenience of parking facilities, and transportation convenience of their roles in customer satisfaction seem to believe. Third, advertising and promotion is shown to not affected meaningful impact on stores management, products quality and customer satisfaction.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.245-261
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• 2024

The COVID-19 pandemic has led to the widespread adoption of contactless transactions, resulting in a noticeable increase in the trend towards fully unmanned stores. In such stores, all operational processes are automated, primarily using artificial intelligence (AI) technology. However, this AI technology has several security vulnerabilities, which can be critical in the environment of fully unmanned stores. This paper analyzes the security vulnerabilities that AI-based fully unmanned stores may face, focusing particularly on the object detection model YOLO, demonstrating that Hiding Attacks and Altering Attacks using adversarial patches are possible. It is confirmed that objects with adversarial patches attached may not be recognized by the detection model or may be incorrectly recognized as other objects. Furthermore, the paper analyzes how Data Augmentation techniques can mitigate security threats by providing a defensive effect against adversarial patch attacks. Based on these results, we emphasize the need for proactive research into defensive measures to address the inherent security threats in AI technology used in fully unmanned stores.