• 제목/요약/키워드: Retail evolution

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점포진화모델 (The Model for the Evolution of Retail Institution Types)

  • 김숙현
    • 한국의류학회지
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    • 제30권12호
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    • pp.1661-1671
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    • 2006
  • 역사적으로 많은 미국과 유럽의 학자들이 이론적(Conceptual work)으로 또는 실전을 (Empirical work) 통하여 점포진화모델을 제시하려 많은 노력을 기울여왔다. 그러나 이런 많은 연구들에도 불구하고 다음과 같은 한계가 여전히 존재하고 있다: 다양한 종류의 점포기관의 진화에 적용할 수 없다는 점, 그리고 양적 연구(Quantitative research)가 부족하다는 점. 이 연구의 목적은 기존 점포진화이론을 포괄하고 위의 한계점을 극복하는 이론적인 점포진화모델을 개발하여 제시하는 것이다. 연구방법에는 질적연구디자인(Qualitative research design), 특히 지속적인 비교분석방법(Constant comparative analysis)을 통한 기초이론(Grounded theory) 형식의 디자인이 사용되었다. 연구결과, 기존의 점포진화이론의 여러 측면들을 종합하여 점포기관들의 변화과정을 제시하는 새로운 이론적인 모델이 제시되었다.

소비자의 인터넷 상점과 일반 상점간의 크로스 채널 쇼핑행동 분석 - 패션상품 및 소재정보를 중심으로 - (Cross-Channel Shopping Behavior between the Internet Retail Type and Store-Based Retail Types - Focus on Information of Fashion Product and Fabrics -)

  • 이은하;김숙현;최종명
    • 복식
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    • 제62권4호
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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.

Evolution of Automatic Ordering System in Retail Market : Analyzing Inventory Data

  • Paik, SiHyun;Frazier, DeWayne P.;Mark, Isenhoff
    • International Journal of Advanced Culture Technology
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    • 제3권2호
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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.

Metaverse and the Evolution of Food and Retail Industry

  • CHA, Seong-Soo
    • 식품보건융합연구
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    • 제8권2호
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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.

대형할인매점의 요일별 고객 방문 수 분석 및 예측 : 베이지언 포아송 모델 응용을 중심으로 (Estimating Heterogeneous Customer Arrivals to a Large Retail store : A Bayesian Poisson model perspective)

  • 김범수;이준겸
    • 경영과학
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    • 제32권2호
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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.

RFID 기반의 이동형 u-POS 시스템 개발에 관한 연구 (A Study on Development of Movable u-POS System based on RFID)

  • 조용철;이종석;이창호
    • 대한안전경영과학회지
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    • 제9권6호
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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.

수출 전 저장기간과 모의 수출에 따른 '후지' 사과의 상품성 변화 (Market Quality Changes of 'Fuji' Apples Influenced by the Duration of Preshipment Storage and Packaging during Simulated Export)

  • 박일용;이재창;황용수
    • 농업과학연구
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    • 제29권1호
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    • pp.15-23
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    • 2002
  • 관행적인 수확기인 11월 6일에 수확한 '후지' 사과는 80% 이상이 밀증상을 나타내었으나 에틸렌 발생량을 기준으로 볼 때 climacteric stage에 도달하지는 않았다. 모의 수출 전 2 개월 저장기간 중 밀증상은 점차 감소하였다. 저장기간 중 가용성 고형물 수준은 일정하지 않았으나 경도와 생체중 감소가 저장기간일 길수록 증가하였다. 저장기간에 따라 모의 수출과 소매과정을 경과시킨 과실의 품질은 전반적으로 낮아졌지만 무처리에 비하여 30 um 플라스틱 필름 포장, 에틸렌제거제 처리는 전반적으로 과실의 품질을 소매단계까지 우수하게 유지시키는 결과를 보였다. 반면에 왁스처리는 외관품질을 우수하게 유지시켰지만 갈변장해를 일으켜 바람직하지 않았다. 따라서 수출용 과실은 건조한 환경에서 장기간 수송되고 판매되므로 품질저하가 심하여 이를 방지하기 위해서는 플라스틱 필름과 같은 moisture barrier 및 에 틸렌 제거 환경으로 선적하는 것이 바람직할 것으로 판단된다.

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On The Security of RFID-based Monitoring Mechanism for Retail Inventory Management

  • Chen, Yu Yi;Jan, Jinn Ke;Tsai, Meng Lin;Ku, Chun Ching;Huang, Der Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권2호
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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.

High Utility Itemset Mining over Uncertain Datasets Based on a Quantum Genetic Algorithm

  • Wang, Ju;Liu, Fuxian;Jin, Chunjie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권8호
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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.