• Title/Summary/Keyword: data mart

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National Context as an Important Variable for the Development of IT-based Strategic Capability

  • Kim, Gyeung-Min
    • Journal of Information Technology Applications and Management
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    • v.20 no.3
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    • pp.61-78
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    • 2013
  • This study was initiated to inquire as to why Wal-Mart failed in the Korean market. For multi-national corporations, environmental differences such as cultural and social differences among countries require business strategies to vary country by country. In Korea, Confucian Ethics are penetrated in every aspect of people's lives. An important aspect of Confucian Ethics is the role and responsibility of women in society. Considering this, businesses need to understand Korean women's preferences as consumers and develop business strategies accordingly. This study emphasizes that IS strategy is one component of the business strategy and, as such, must be rooted in business issues. Understanding that IS strategy should fit to national contexts, this study investigates the underlying process in which IT-based strategic capability is developed according to national context to gain competitive advantages.

Effects of Consumers' Perceived Service Convenience: Differences between Department Stores and General Super Markets (소매업태의 지각된 서비스 편의성이 서비스 성과에 미치는 영향: 백화점과 종합슈퍼마켓간 차이를 중심으로)

  • Kim, Mi-Jeong;Park, Chul-Ju
    • Journal of Distribution Science
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    • v.13 no.2
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    • pp.85-94
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    • 2015
  • Purpose - This study attempts to examine the impacts of consumers' perceived service convenience of retailers on various service performance metrics such as service quality and customer satisfaction. It also tries to investigate differences in the importance of service convenience dimensions on service performance between a department store and a general super market. Research design, data, and methodology - The four hypotheses in this study were proposed and tested. Two hypotheses were on the causal relationships between service convenience dimensions and service performances (service quality and customer satisfaction). The other two hypotheses were on comparisons for the effects of convenience dimensions on service quality and customer satisfaction between department stores and general super markets. To test the hypotheses, three department store chains (Hyundai, Lotte, and Shinsegae department Store) and three general super markets (E-mart, Homeplus, and Lotte mart) were involved. Overall, 510 usable responses were used. The data were analyzed using regression analysis. Results - The results largely support the hypothesized relationships of the proposed model. The results show that access convenience, transaction convenience, benefit convenience, and post-benefit convenience have positive influences on service quality, whereas decision convenience, access convenience, transaction convenience, benefit convenience, and post-benefit convenience have positive effects on customer satisfaction. Furthermore, the results show that there are differences between department stores and general super markets in the effects of benefit convenience and post-benefit convenience on service quality as well as the effects of transaction convenience and post-benefit convenience on customer satisfaction. Conclusions - The concept of service convenience is important in retail environments but little is known about this topic in retail literature. Specially, while service convenience dimensions have different impacts on service performance in distinct retail environments, there has been little investigation or comparison between retail types as regards service convenience. This study is the first to test the differences between distinct retail types (department stores and general super markets) on the service convenience-service performance links. Managerially, the findings of this study suggest that the service convenience management of retailers is an important part of successful service performance management. Because it is most important that both department stores and general super markets enhance benefit convenience to improve service performance, managers of both store types need to invest their resources to reduce consumers' perceived time and effort expenditures to experience the retailer's core benefits. Therefore, the results of this study suggest that retail stores should spend human and financial resources to enhance customer perceptions of service convenience, while also considering what constitutes the service outcome in the consumer's mind. Furthermore, the findings suggest that managers need to use different service convenience management tactics in department stores and general super markets. Specifically, managers in general super markets should pay more attention to benefit convenience and transaction convenience to achieve better service performance whereas managers in department stores should concentrate on post-benefit convenience to create customers' positive evaluation.

Analysis on the Investment Returns of Korean Retail Companies - Department Stores vs. Discount Stores - (소매업태별 수익성 벤치마킹 사례분석)

  • 서용구;박종성
    • Journal of Distribution Research
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    • v.9 no.1
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    • pp.47-65
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    • 2004
  • The purpose of this study is to analyze the investment returns and profitability of major Korean retail companies and to discuss the implications of their published accounting data. We have found that Korean department store companies shows the sound ROIC (return on invested capital) compared with U,5. counterparts. However, major discount store companies have problems in terms of poor ROIC ratios in spite of their rapid growth for the last decade. The results of ROIC performance of 3 major department stores and 3 discount stores are compared and the implications of the study are discussed. Furthermore, the published accounting data of major U.S. department stores and discount stores are analyzed in the context of benchmarking for Korean companies.

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Government Support for Entrepreneurship Damage to Small Retail Traders from Large Wholesalers' Online Business Expansion

  • Suh, Geun-Ha;Kim, Mi-Gou;Suh, Chang-Soo
    • Journal of Distribution Science
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    • v.13 no.12
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    • pp.13-21
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    • 2015
  • Purpose - The purpose of this research paper is twofold. First, this paper attempts to grasp the damage caused to small and medium-size retail traders from online wholesalers in the field. Second, this paper engages in a psychological characterization of the enterprise spirit and the management of small and medium-size entrepreneurs in the retail trade business that are harmed by online wholesalers. Research design, data, and methodology - Data on three large Korean wholesalers engaged in ongoing litigation during the first half of 2014, including E-Mart Traders E-Club, and regarding applications for business adjustments from three large wholesalers were used. Results - The results show that small and medium-size distribution merchants seek political support for facility modernization, policy-specific funds, development of the distribution of PB products, advanced distribution techniques, joint logistics systems, establishment of distribution and logistics centers, sharing of parking facilities, and joint ordering systems. Conclusions - This study examined the damage to, and the government's support of policy demands from, small retail traders.

The Determinants of Customer Loyalty: The Case Study of Saigon Co.op Supermarkets in Vietnam

  • NGUYEN, Cuong Quoc;PHAM, Ngan
    • Journal of Distribution Science
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    • v.19 no.5
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    • pp.61-68
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    • 2021
  • Purpose: Retailing is one of the fastest-growing sectors in Vietnam. In the sight of foreign investors, the Vietnamese retailing market is very prospective. However, the current competition is very intensive, and retailers are keen on gaining new customers. Hence, Vietnamese retailers have paid more attention to customer loyalty. Saigon Co.op is one of the largest retailers in Vietnam, but its consumers have more choices over a retailer. As a result, Saigon Co.op has realized the significance of customer loyalty. This study aims to determine the factors impacting customer loyalty of Saigon Co.op supermarket in Vietnam. Research design, data and methodology: this study applied the multiple regression analysis with 250 samples collected from Saigon Co.op customers. The questionnaire is provided to respondents via Google Form, and the link is sent to the fan page of Co.op mart on Facebook. Two hundred eighty-seven samples were collected, but 37 samples were removed due to missing values. Exploratory Factor Analysis (EFA) and regression analysis are used for data analysis on SPSS software version 20. Results: The findings show all four determinants of Saigon Co.op's customer loyalty, including Product Quality, Brand Image, Price Strategy and Service Quality. Conclusions: managerial recommendations are provided for supermarkets to improve their customer loyalty in Vietnam and other emerging markets. Limitations and suggestions for further research are also discussed.

Explainable Machine Learning Based a Packed Red Blood Cell Transfusion Prediction and Evaluation for Major Internal Medical Condition

  • Lee, Seongbin;Lee, Seunghee;Chang, Duhyeuk;Song, Mi-Hwa;Kim, Jong-Yeup;Lee, Suehyun
    • Journal of Information Processing Systems
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    • v.18 no.3
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    • pp.302-310
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    • 2022
  • Efficient use of limited blood products is becoming very important in terms of socioeconomic status and patient recovery. To predict the appropriateness of patient-specific transfusions for the intensive care unit (ICU) patients who require real-time monitoring, we evaluated a model to predict the possibility of transfusion dynamically by using the Medical Information Mart for Intensive Care III (MIMIC-III), an ICU admission record at Harvard Medical School. In this study, we developed an explainable machine learning to predict the possibility of red blood cell transfusion for major medical diseases in the ICU. Target disease groups that received packed red blood cell transfusions at high frequency were selected and 16,222 patients were finally extracted. The prediction model achieved an area under the ROC curve of 0.9070 and an F1-score of 0.8166 (LightGBM). To explain the performance of the machine learning model, feature importance analysis and a partial dependence plot were used. The results of our study can be used as basic data for recommendations related to the adequacy of blood transfusions and are expected to ultimately contribute to the recovery of patients and prevention of excessive consumption of blood products.

A Study on the Adjustment of Posterior Probability for Oversampling when the Target is Rare (목표 범주가 희귀한 자료의 과대표본추출에 대한 연구)

  • Kim, U.N.;Lee, S.K.;Choi, J.H.
    • The Korean Journal of Applied Statistics
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    • v.24 no.3
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    • pp.477-484
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    • 2011
  • When an event of target variable is rare, a widespread strategy is to build a model on the sample that disproportionally over-represents the events, that is over-sampled. Using the data over-sampled from the original data set, the predicted values would be biased; however, it can be easily corrected to represent the population. In this study, we investigate into the relationship between the proportion of rare event on a data-mart and the model performance using real world data of a Korean credit card company. Also, we use the methods for adjusting of posterior probability for over-sampled data of the offset method and the weighted method. Finally, we compare the performance of the methods using real data sets.

Analysis for Diagnosis of Patients with Cerebral Infarction by Sequence Modeling (순차규칙 모델링을 활용한 뇌경색증 환자 진단 분석)

  • Shin, A.M.;Park, H.J.;Lee, I.H.;Kim, Y.N.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.2 no.1
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    • pp.51-56
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    • 2009
  • This study was tried to analyze the diagnosis of patients with cerebral infarction by sequence modeling that was one of data mining analysis method and find out previous disease or complication of patients with cerebral infarction. Mass data that the diagnosis code of cerebral infarction was 163 in 2000 to 2007 were extracted from A hospital's database and then the data mart was constructed for analysis. Total 2,267 patients illnesses were diagnosed as cerebral infarction and 32,692 cases related diagnosis were extracted. Sequence modeling in Clementine 12.0 program was used to analyze diagnosis of patients with cerebral infarction and 8 meaningful rules were found in this paper. This result could be used as a basic data to make secondary cerebral infarction prevention program and to prevent complication of cerebral infarction.

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A Study on Micro-Mobility Pattern Analysis using Public Bicycle Rental History Data (공공자전거 임대내역 데이터를 활용한 마이크로 모빌리티 패턴분석 연구)

  • Cho, Jaehee;Baik, Gaeun
    • Journal of Information Technology Services
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    • v.20 no.6
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    • pp.83-95
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    • 2021
  • In this study, various usage patterns were analyzed after establishing a data mart for micro mobility analysis based on the rental history of public bicycles in Seoul. Rental history data is origin-destination data that includes the rental location and time, and the return location and time. About 1500 rental locations were classified according to the characteristics of the location to create a 'station type' dimension. We also created a 'path type' dimension that displays whether the rental location and return location are the same. In addition, a derived variable called speed, which is obtained by dividing the distance used by the time used, is added, and through this, the characteristics of the riding area and the reason for the rental can be estimated. Meanwhile, administrative district link, administrative neighborhood link, and station type link were created to apply network analysis. Through this analysis, the roles and proportions of administrative districts, public facilities, and private facilities engaged in micro-mobility services were visualized. 49.9% of rentals occur at rental offices near transportation facilities, and half of them occur at rental offices near subway stations. The number of rentals during the evening rush hour is more than double that of the morning rush hour. When the path type is unidirectional, there is a fixed destination, so the distance and time used are short, and the movement speed tends to be high. In the case of round-trip, the purpose of use is exercise or leisure, so the distance and time used are long, and the movement speed is slow. It is expected that the results of the analysis can be used as reference materials for selecting new rental locations, providing convenient services for users, and developing user-specialized products.

The effects of store image components on consumers purchasing retailer brands in Korea

  • Chung, Lak-Chae;Cho, Young-Sang
    • Journal of Distribution Science
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    • v.9 no.4
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    • pp.15-27
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    • 2011
  • Although a huge number of academic researchers have paid considerable attention to exploring both the degree to which store image influences retailer brand customers and how to develop store personality, they have overlooked the contemporary retail context in which retailers have developed many different types of retailer brands, that is, price-oriented or quality-oriented retailer brands. Rather than focusing on the latter, much literature has looked at the former. Accordingly, even though there are many articles related to store image, a few authors have shown their interest in identifying the extent to which store personality affects customers purchasing retailer brands at lower prices. As a result, their efforts have been to illustrate the relationship between store image and consumer behaviours buying retailer brands. In that multiple retailers over the world such as E-Mart, Lotte-Mart, Tesco Korea and Tesco UK have actively introduced not only the quality-focused retailer brands that quality is better than, or equal to national brands, and prices are slightly higher than, or equal to them, but also price-focused retailer brands, academicians should make an effort to investigate how store image affects customers purchasing a quality-oriented retailer brand, comparing with previous research results. That is why the authors illustrate the extent to which store personality components influence retailer brand customers, including particularly quality-oriented retailer brand customers through an empirical research. By adopting a questionnaire method as a research technique to illuminate the relationship between store image components and retailer brand customers, research validity increases and further, data gathered through a field survey are analysed through a few statistic analysis methods, in order to minimise statistical deviations. Compared with the prior research concentrated on price-focused retailer brands, the authors have significantly shed light on customer behaviours purchasing retailer brand products with higher quality. When it comes to store personality components, the research suggests the following five items: merchandise attributes, services, physical facilities, promotions, and institutional image, considering the subcomponents mentioned by the previous research. Proposing the conceptual research model which those elements are differently hypothesised, according to retailer brand types: PR (Price-oriented Retailer brand) and QR (Quality-oriented Retailer brand), the research is proceeded. Through empirical research, the authors found that amongst the five items, only promotion influenced retailer brand customers in the Korean retailing marketplace, unlike other countries explored by many researchers, such as UK. Although much literature emphasises that those elements are closely related to retailer brand buying proneness, it is completely not fit to the Korean market. Also, research findings provide new insights into the degree of store image effects on retailer brand customers for academiciansand practitioners. Whether the retailer brand development program that a retailer has carried simultaneously both price-focused and quality-focused retailer brand types is practically profitable should be explored in the future.

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