• Title/Summary/Keyword: POS Data

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Mondex Electronic Cash

  • Kim, Do-Hyung
    • Proceedings of the CALSEC Conference
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    • 2002.01a
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    • pp.233-237
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    • 2002
  • The smartcard is a processing platform & a store or data it can perform calculations and run programs It contains its own memory (RAM), storage (ROM and EEPROM). and (Central Processing Unit) CPU like a PC If it had its own power supply. keyboard and screen. it would be a fully independent computer Requires an Interface Device (IFD) to supply the power and provide suitable input and display mechanisms. Some examples of IFDs are: point of sale terminal(POS) telephone ATM etc.(omitted)

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The Efficiency Analysis of CRM System in the Hotel Industry Using DEA (DEA를 이용한 호텔 관광 서비스 업계의 CRM 도입 효율성 분석)

  • Kim, Tai-Young;Seol, Kyung-Jin;Kwak, Young-Dai
    • Journal of Intelligence and Information Systems
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    • v.17 no.1
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    • pp.91-110
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    • 2011
  • This paper analyzes the cases where the hotels have increased their services and enhanced their work process through IT solutions to cope with computerization globalization. Also the cases have been studies where national hotels use the CRM solution internally to respond effectively to customers requests, increase customer analysis, and build marketing strategies. In particular, this study discusses the introduction of the CRM solutions and CRM sales business and marketing services using a process for utilizing the presumed, CRM by introducing effective DEA(Data Envelopment Analysis). First, the comparison has done regarding the relative efficiency of L Company with the CCR model, then compared L Company's restaurants and facilities' effectiveness through BCC model. L Company reached a conclusion that it is important to precisely create and manage sales data which are the preliminary data for CRM, and for that reason it made it possible to save sales data generated by POS system on each sales performance database. In order to do that, it newly established Oracle POS system and LORIS POS system concerned with restaurants for food and beverage as well as rooms, and made it possible to stably generate and manage sales data and manage. Moreover, it set up a composite database to control comprehensively the results of work processes during a specific period by collecting customer registration information and made it possible to systematically control the information on sales performances. By establishing a system which unifies database and managing it comprehensively, impeccability of data has been greatly enhanced and a problem which generated asymmetric data could be thoroughly solved. Using data accumulated on the comprehensive database, sales data can be analyzed, categorized, classified through data mining engine imbedded in Polaris CRM and the results can be organized on data mart to provide them in the form of CRM application data. By transforming original sales data into forms which are easy to handle and saving them on data mart separately, it enabled acquiring well-organized data with ease when engaging in various marketing operations, holding a morning meeting and working on decision-making. By using summarized data at data mart, it was possible to process marketing operations such as telemarketing, direct mailing, internet marketing service and service product developments for perceived customers; moreover, information on customer perceptions which is one of CRM's end-products could feed back into the comprehensive database. This research was undertaken to find out how effectively CRM has been employed by comparing and analyzing the management performance of each enterprise site and store after introducing CRM to Hotel enterprises using DEA technique. According to the research results, efficiency evaluation for each site was calculated through input and output factors to find out comparative CRM system usage efficiency of L's Company four sites; moreover, with regard to stores, the sizes of workforce and budget application show a huge difference and so does the each store efficiency. Furthermore, by using the DEA technique, it could assess which sites have comparatively high efficiency and which don't by comparing and evaluating hotel enterprises IT project outcomes such as CRM introduction using the CCR model for each site of the related enterprises. By using the BCC model, it could comparatively evaluate the outcome of CRM usage at each store of A site, which is representative of L Company, and as a result, it could figure out which stores maintain high efficiency in using CRM and which don't. It analyzed the cases of CRM introduction at L Company, which is a hotel enterprise, and precisely evaluated them through DEA. L Company analyzed the customer analysis system by introducing CRM and achieved to provide customers identified through client analysis data with one to one tailored services. Moreover, it could come up with a plan to differentiate the service for customers who revisit by assessing customer discernment rate. As tasks to be solved in the future, it is required to do research on the process analysis which can lead to a specific outcome such as increased sales volumes by carrying on test marketing, target marketing using CRM. Furthermore, it is also necessary to do research on efficiency evaluation in accordance with linkages between other IT solutions such as ERP and CRM system.

Effects of Learning Organization Building Activities in Convergence Service Companies on Organization Citizenship Behavior - Considering the Moderating effect of Perceived Organization Support - (융복합사업서비스기업의 학습조직구축활동이 조직시민행위에 미치는 영향 - 조직지원인식의 조절 효과를 고려하여 -)

  • Lee, Kang-Seok;Yang, Hae-Sool
    • Journal of Digital Convergence
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    • v.13 no.11
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    • pp.71-84
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    • 2015
  • The purpose of the research was to investigate the effects of the learning organization building activities on organization citizenship behavior(OCB) in business service companies providing the convergence service for the manufacturers and the moderating role of perceived organization support(POS) between the learning organization building activities and organization citizenship behavior. The data were collected from 327 employees of 31 business Service companies in metropolitan area by using structured questionnaires. Hierarchical regression technique was employed to analyze the collected data. The results showed that both of the seven learning organization building activities and POS had a positive effect on employees' OCB. Moreover, also found out the only one out of the seven learning organization building factors, namely 'Strategic Learning Leadership' had the moderate roles between learning organization building activities and OCB. Then, The results and implications of the study were discussed and the directions for future study were presented.

Government-Funded Meal Support Program for Low-Income Children through Convenience Stores : Current Status and Nutritional Quality of Available Meal Items in Seoul (편의점을 통한 결식아동급식사업 : 서울시의 현황 및 판매 식사류의 영양적 질)

  • Choi, Hae-Lim;Kwon, Soo-Youn;Yoon, Ji-Hyun
    • Korean Journal of Community Nutrition
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    • v.16 no.2
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    • pp.253-264
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    • 2011
  • The objectives of this study were to investigate the current status of the Korean government-funded meal support program for low-income children through convenience stores and to evaluate the nutritional quality of the meal items available under the program. The POS data of three convenient stores where children had used their electronic meal cards most often in Seoul during January 2010 and the kinds and amounts of ingredients of the meal items available to the children were obtained from the headquarter of the convenient stores. A total of 5,081 transactions by 693 children included in the POS data was analyzed. In addition, nutritional contents of meal items, which were meal boxes (11 kinds), kimbab (13 kinds), rice balls (27 kinds), inari sushi (1 kind), and sandwiches (26 kinds), were analyzed with Can Pro 3.0. The results showed that children had purchased flavored-milk products most often. Children tended to purchase meal items together with drinks (60.9% of transactions), but some purchased drinks (27.6%) or meal items only (11.5%). Except for meal boxes, none of the meal items satisfied 1/3 of Estimated Energy Requirements of the 9-11 year-old boys per day. The average energy contents of different kinds of meal boxes, kimbabs, rice balls, and sandwiches were 619, 357, 200, and 380 kcal, respectively, and the energy content of a package of Inari sushi was 457 kcal. Vitamin C amount was found to be deficient in all the meal items, compared to 1/3 of Recommended Intake of the 9-11 year-old boys per day. The results of this study could be useful to develop nutritionally appropriate meal items for the convenient stores participating in the government-funded meal support program for children from lowincome families.

Current CRM Adoption in Korean Apparel Industry (국내 의류업체의 CRM 도입현황)

  • Ko, Eun-Ju
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.1 s.149
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    • pp.1-11
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    • 2006
  • The purpose of this study was to analyze the current CRM situation in Korean apparel industry. Specifically, research purposes were 1) to examine the concepts and benefits of CRM, 2) to examine CRM strategies, 3) to analyze CRM system(i.e., customer relationship management service, customer segmentation criteria, DB management system), and 4) to analyze the potential problems and CRM adoption plan. The subjects for this research were thirty CRM managers in Korean apparel firms classified by the company type(woman's wear, man's wear, casual wear, children's wear, retailer) interviewed from December 2003 to March 1004. The results of this study were as follows: First, the concept of CRM represented the prime customer relationship, continuous consideration, and customer management system. The benefits of CRM reflected re-sales, improvement of profit share, and acquisition of customer's data base. Second, concerning the CRM strategies, most companies focused on persistent customer management through mileage program, membership cards and also implemented product strategies such as demand forecasting, customization based on customer data analysis. We also found that industry preferred to use pricing strategies, for example, segmentation of customer through discrepancies of price in which customers are provided by discount and gift voucher services. Regarding distribution strategy, channel diversification, localized service, and convenient delivery system were used. As promotion strategies, they chose celebrating customers' personal events and promoting cultural events and issuing coupons. Third, regarding CRM system, information service was the most frequently adopted, important and highly beneficial category. Also POS/web-POS, homepage were main sources of information. RFM is the mostly commonly used customer segmentation criteria. Fourth, potential problems in CRM adoption were lack of CRM knowledge and performance measurement of CRM. Future CRM adoption plan included CRM education and development of CRM performance measures.

A Study on the Lunch Box Promotion of Convenience Store by Commercial Areas (상권별 편의점 도시락 판매 전략에 관한 연구)

  • Choi, Sung-WooK;Shin, Yong Jae
    • Journal of Digital Convergence
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    • v.17 no.6
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    • pp.77-91
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    • 2019
  • In order to establish a sales strategy for convenience store lunches, this study conducted analysis using association rules based on POS data obtained from convenience stores located in four commercial districts. For this purpose, the data used in the analysis were divided into the time zones from 6:00 am to 8:00 pm, 17:00 pm to 19:00 pm, and the convenience stores according to the commercial areas. As a result of the analysis, it was found that products that were sold together with a lunch box were mainly made of products that could be eaten together with lunch such as milk, beverage, and cotton. However, it was confirmed that there were differences in the types and numbers of the products that were sold together with the lunch boxes of the morning time and the afternoon hours for the other products. These results and approaches are expected to contribute to finding and responding to the needs for goods and services that change as well as convenience stores as well as sociocultural changes.

Development of Cleaved Amplified Polymorphic Sequence Markers of Lentinula edodes Cultivars Sanbaekhyang and Sulbaekhyang (표고 품종 산백향과 설백향 구분을 위한 CAPS 마커 개발)

  • Moon, Suyun;Hong, Chang Pyo;Ryu, Hojin;Lee, Hwa-Yong
    • The Korean Journal of Mycology
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    • v.49 no.1
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    • pp.33-44
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    • 2021
  • Lentinula edodes (Berk.) Pegler, the most produced mushroom in the world, is an edible mushroom with very high nutritional and pharmacological value. Currently, interest in the protection of genetic resources is increasing worldwide, and securing the distinction between new cultivars is very important. Therefore, the development of efficient molecular markers that can discriminate between L. edodes cultivars is required. In this study, we developed cleaved amplified polymorphic sequence (CAPS) markers for the identification of L. edodes cultivars (Sanbaekhyang and Sulbaekhyang). These markers were developed from whole genome sequencing data from L. edodes monokaryon strain B17 and resequencing data from 40 cultivars. A nucleotide deletion existed in scaffold 19 POS 214449 in Sanbaekhyang (GT→G), and a single nucleotide polymorphism changed in scaffold 7 POS 215801 in Sulbaekhyang (G→A). The restriction enzymes Hha I and HpyCH4IV distinguished Sanbaekhyang and Sulbaekhyang, respectively, from other cultivars. Thus, we developed two CAPS markers for the identification of the L. edodes cultivars Sanbaekhyang and Sulbaekhyang.

A Study on Development of PC-based Wireless Data Access System (PC 기반 양방향 무선데이터 시스템 개발에 관한 연구)

  • Joo, Jong-Hyuk
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.28 no.3
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    • pp.115-120
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    • 2005
  • In this paper, we propose a personal-computer-based wireless data access system, which use DS/SS(Direct Sequence Spread Spectrum) method and the ISM band of 2.44GHz radio frequency. By applying hi-directional transmission between wireless handy terminals and PCs or servers, it can be easily connected with any kinds of database systems such as Oracle, MS-SQL and MS-ACCESS. Therefore, it could be economically adopted as peripheral equipments for ERP or SCM systems.

A Study on the Determinants of Demand for Visiting Department Stores Using Big Data (POS) (빅데이터(POS)를 활용한 백화점 방문수요 결정요인에 관한 연구)

  • Shin, Seong Youn;Park, Jung A
    • Land and Housing Review
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    • v.13 no.4
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    • pp.55-71
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    • 2022
  • Recently, the domestic department store industry is growing into a complex shopping cultural space, which is advanced and differentiated by changes in consumption patterns. In addition, competition is intensifying across 70 places operated by five large companies. This study investigates the determinants of the visits to department stores using the big data concept's automatic vehicle access system (pos) and proposes how to strengthen the competitiveness of the department store industry. We use a negative binomial regression test to predict the frequency of visits to 67 branches, except for three branches whose annual sales were incomplete due to the new opening in 2021. The results show that the demand for visiting department stores is positively associated with airport, terminal, and train stations, land areas, parking lots, VIP lounge numbers, luxury store ratio, F&B store numbers, non-commercial areas, and hotels. We suggest four strategies to enhance the competitiveness of domestic department stores. First, department store consumers have a high preference for luxury brands. Therefore, department stores need to form their own overseas buyer teams to discover and attract new luxury brands and attract customers who have a high demand for luxury brands. In addition, to attract consumers with high purchasing power and loyalty, it is necessary to provide more differentiated products and services for VIP customers than before. Second, it is desirable to focus on transportation hub areas such as train stations, airports, and terminals in Gyeonggi and Incheon. Third, department stores should attract tenants who can satisfy customers, given that key tenants are an important component of advanced shopping centers for department stores. Finally, the department store, a top-end shopping center, should be developed as a space with differentiated shopping, culture, dining out, and leisure services, such as "The Hyundai", which opened in 2021, to ensure future growth potential.

An Automatic Spam e-mail Filter System Using χ2 Statistics and Support Vector Machines (카이 제곱 통계량과 지지벡터기계를 이용한 자동 스팸 메일 분류기)

  • Lee, Songwook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.592-595
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    • 2009
  • We propose an automatic spam mail classifier for e-mail data using Support Vector Machines (SVM). We use a lexical form of a word and its part of speech (POS) tags as features. We select useful features with ${\chi}^2$ statistics and represent each feature using text frequency (TF) and inversed document frequency (IDF) values for each feature. After training SVM with the features, SVM classifies each email as spam mail or not. In experiment, we acquired 82.7% of accuracy with e-mail data collected from a web mail system.

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