• Journal of Nutrition and Health
• /
• 제36권9호
• /
• pp.966-973
• /
• 2003

The purpose of this study was to investigate the utilization level of forecasting methods in contract foodservice management companies. Questionnaires were distributed and collected from 30 foodservice management companies contracted with universities and 49 university foodservices in Seoul and Kyungki area. Statistical data analysis was performed using SPSS/WIN 10.0 based on the production records of Yonsei University foodservices and the weather reports from a meteorological observatory. The results of this study were as follows: 1) The objectives of the fore-casting systems were identified as saving costs through eliminating the leftover, meeting the customer demands, and improving efficiency in food preparation.2) All of the university foodservices were already performing the forecasting methods but in foodservice management companies as a whole,89.7 percents were applying the method and only 55.2 percents had the separate forecasting department. 3) A large number of foodservice staffs in the head office (65.5％) answered that they often utilized intuitive estimates based on the past experiences and records for forecasting while 65.3% managing staffs in the university foodservices answered the same.4) Both in the head office and university foodservices, actual number of meals served were recorded. In the head office, mostly estimated numbers and actual numbers of meals were recorded while estimated, prepared, and actual numbers of meals served were recorded for most of the cases in university foodservices. 5) The primary factors considered for forecasting were the actual production records for the last month, the customer preference for the selected menu items, and the specific day of the week.

• 한국인공지능학회지
• /
• 제9권1호
• /
• pp.9-14
• /
• 2021

This paper predicted a model that indicates whether to buy a car based on primary health insurance customer data. Currently, automobiles are being used to land transportation and living, and the scope of use and equipment is expanding. This rapid increase in automobiles has caused automobile insurance to emerge as an essential business target for insurance companies. Therefore, if the car insurance sales are predicted and sold using the information of existing health insurance customers, it can generate continuous profits in the insurance company's operating performance. Therefore, this paper aims to analyze existing customer characteristics and implement a predictive model to activate advertisements for customers interested in such auto insurance. The goal of this study is to maximize the profits of insurance companies by devising communication strategies that can optimize business models and profits for customers. This study was conducted through the Microsoft Azure program, and an automobile insurance purchase prediction model was implemented using Health Insurance Cross-sell Prediction data. The program algorithm uses Two-Class Logistic Regression and Two-Class Boosted Decision Tree at the same time to compare two models and predict and compare the results. According to the results of this study, when the Threshold is 0.3, the AUC is 0.837, and the accuracy is 0.833, which has high accuracy. Therefore, the result was that customers with health insurance could induce a positive reaction to auto insurance purchases.

• 패션비즈니스
• /
• 제27권2호
• /
• pp.108-123
• /
• 2023

Recent increase of eco-conscious trends and pleasure from Do It Yourself (DIY) activities have led to a surge in sales of package products bundling together clothing patterns and raw materials. However, a well-structured market system is yet to be established. We surveyed 460 women with sewing as a hobby who had purchased these DIY clothing pattern packages. The survey revealed that majority of respondents had their hobby for over five years. Choosing the right fabric to match clothing patterns presented a common challenge. Most participants owned a sewing machine and an overlocker, with price being the primary concern when purchasing a package. For guidance during the sewing process, participants preferred print materials featuring real-life images. Those with less sewing experience leaned towards video tutorials. Items of interest or those commonly created included blouses, shirts, and dresses. Desire for further learning in sewing and pattern-making was prominent, with a clear preference for online classes. Several strategies are recommended to enhance the appeal of DIY clothing package products, including broadening range of packages that incorporate fabric, offering supplementary educational resources to improve users' skills, implementing affordable pricing structures, supplying comprehensive creation guidelines, and making available design modification guides. These considerations could significantly boost customer satisfaction. This research intends to lay groundwork for understanding DIY clothing creation market, ultimately fostering production of highly desirable products. Insights of this study will prove instrumental in refining product development and devising effective marketing tactics, leading to a more rewarding consumer experience.

• 한국프랜차이즈경영연구
• /
• 제6권2호
• /
• pp.87-104
• /
• 2015

This study, based on theoretical and practical understanding of franchising, aims to conceptualize franchising in terms of marketing mix and proposes new paradigm of franchising. New schema of the franchise marketing mix involves both customer gap and franchisee gap by including customer and franchisee contacts and sets activities that include components of franchise system as the factor of marketing mix. So we could suggest the franchise marketing mix, '4F' by introducing conventional marketing mix concept into this assumption. The 4F schema consist of four sub-dimensions: 'Format', 'Fee & Royalty', 'Franchising Process', and 'Franchise Communication', which correspond to '4P'. In perspective of marketing mix, we could divide the franchise system into primary activity and support activity, then we also could categorize the fundamental activity into four-classification system, 4F schema. We expect that franchise marketing mix, 4F can be useful both theoretically and practically as it not only is not too different from the conventional marketing mix, but it also proposes franchise value chain by including unique characteristics and contents of the franchise system.

• 유통과학연구
• /
• 제10권6호
• /
• pp.27-37
• /
• 2012

M&A 과정, 특히 인수 후 통합에 관한 기존의 연구는 내부 조직의 통합에 중점을 두어 왔는데, 본 연구는 백화점 간의 인수합병 과정에서 브랜드 네임 및 회원 제도의 통합 사례에 대한 분석을 통해 양사의 브랜드와 고객의 통합 과정이 어떻게 이루어지며, 그 과정에서 무엇이 중요한지를 보고자 하였다. 본 연구는 유통학문의 연구방법론 중 규범적 연구방법론이나 경험적 분석기법에 적용되는 사례연구의 접근법을 적용하여, 인수합병을 통해 두 회사의 브랜드 네임과 회원 제도를 통합한 기업을 선정하여 분석하였다. 연구 결과, 인수합병 과정의 브랜드와 고객 측면의 통합을 위해서는 양사의 브랜드 및 고객 관리 현황에 대한 이해를 바탕으로 주요 통합 영역을 설정하여 고객과 기업의 양쪽 측면에서 의사결정을 고려해야 한다는 것, 통합의 목표를 단기적인 사업 효율성 추구가 아니라 장기적인 브랜드 파워와 구체적인 시너지 등으로 추구해야 한다는 것, 브랜드의 통합과 회원 제도의 통합은 사업 전략과 마케팅 프로그램 등의 변화를 유발하기 때문에 구체적인 후속 프로그램이 필요하다는 것을 알 수 있었다. 본 연구는 단일 기업을 대상으로 한 서술식 사례 연구라는 한계가 있어, 향후에는 복수 기업들의 비교분석적 연구나 브랜드 및 고객 통합 관련 이론들을 체계적인 분석의 틀로 이용하는 연구 등이 필요할 것이다.

• 한국시뮬레이션학회논문지
• /
• 제27권2호
• /
• pp.91-100
• /
• 2018

기업의 고객 접점으로 중요한 역할을 하는 콜센터는 최근 고객 접근성과 편의성을 향상하기 위해서 전화 외에 다양한 접근채널을 지원하는 옴니채널 컨택센터로 변화하고 있다. 다양한 채널을 지원하는 옴니채널 컨택센터는 채널별로 상담사를 운영하고 있다. 상담사 배치에 따라 채널별 응대율, 대기시간과 같은 옴니채널 컨택센터의 성과가 결정되기 때문에 채널별 상담사 배치는 중요하다. 기존 전화 콜센터의 경우 전화 상담의 특성에 맞게 상담사를 배치하면 되었으나, 채널의 종류가 다양해지고 서로 다른 성격을 가진 채널들을 동시에 처리해야 하는 옴니채널 컨택센터의 경우 전화 상담을 기반으로 한 기존의 상담사 배치 전략만으로는 효과적인 상담사 운영이 어렵다. 이에 본 연구는 전화 외에 이메일, 채팅, 영상상담을 수용하는 옴니채널 컨택센터를 시뮬레이션하기 위한 모델을 개발하고, 시뮬레이션을 통해 상담원 배치 최적화 방안에 대해 연구하였다.

• 대한임상검사과학회지
• /
• 제36권2호
• /
• pp.121-126
• /
• 2004

The primary goal of six sigma is to improve patient satisfaction, and thereby profitability, by reducing and eliminating defects. Defects may be related to any aspect of customer satisfaction: high product quality, schedule adherence, cost minimization, process capability indices, defects per unit, and yield. Many six sigma metrics can be mathematically related to the others. Literally, six means six standard deviations from the mean or median value. As applied to quality metrics, the term indicates that failures are at least six standard deviations from the mean or norm. This would mean about 3.4 failures per million opportunities for failure. The objective of six sigma quality is to reduce process output variation so that on a long term basis, which is the customer's aggregate experience with our process over time, this will result in no more than 3.4 defect Parts Per Million(PPM) opportunities (or 3.4 Defects Per Million Opportunities. For a process with only one specification limit (upper or lower), this results in six process standard deviations between the mean of the process and the customer's specification limit (hence, 6 Sigma). The results of applicative six sigma experiment studied on 18 items TP, ALB, T.B, ALP, AST, ALT, CL, CK, LD, K, Na, CRE, BUN, T.C, GLU, AML, CA tests in clinical chemistry were follows. Assessment of process performance fits within six sigma tolerance limits were TP, ALB, T.B, ALP, AST, ALT, CL, CK, LD, K, Na, CRE, BUN, T.C, GLU, AML, CA with 72.2%, items that fit within five sigma limits were total bilirubin, chloride and sodium were 3 sigma. We were sure that the goal of six sigma would reduce test variation in the process.

• 한국IT서비스학회지
• /
• 제14권3호
• /
• pp.1-18
• /
• 2015

Recent trends of mobile convergence has already brought about many changes in our digitally-powered society. Especially, taking advantage of strengths of existing mobile devices and smart phones have already been established as a primary standard in the business intelligence world. Such high-powered digital devices equipped with mobile convergence functions are getting more momentum as app stores are prevailing. Basically, the app stores are administered by smart phone manufacturers, creating a new business ecosystem among app developers and end-users. However, there are paucity of studies tackling an issue about how users' repurchase intention of the apps is influenced by the service qualities of the app stores. In this respect, this study aims to investigate the effect of app store service quality on users' satisfaction and repurchase intention. As the value of loyal customers is incomparably high in app commerce, winning customers' loyalty is vital to the success of app stores. In this study, a customer is defined as one who has purchased goods or services at least once from the app stores. The proposed research model includes a number of constructs such as app perceptions, customer service, perceived ease of use, design, promotion, perceived consumer risk and connectivity. Empirical results revealed that perceived consumer risk has a negative relationship with consumer's perceived repurchase intention. All the other variables-app perceptions, customer service, perceived ease of use, design, promotion, connectivity- are found to be positively related with the repurchase intentions.

• 한국산업정보학회논문지
• /
• 제14권1호
• /
• pp.17-31
• /
• 2009

소프트웨어의 중요성은 인터넷과 전자상거래의 보급 등으로 급속하게 발전해 왔으나, 전통적인 소프트웨어 평가는 개발 프로세스 관점에 기반을 두고 있어, 소프트웨어의 실제 사용성과 사용자관점의 평가는 미약한 실정이다. 때문에 본 연구에서는 소프트웨어 기업의 유무형의 자원과 제품을 사용하는 사용자의 만족도를 함께 평가함으로써, 그것이 성과에 미치는 영향을 검증하였다. 경영자원론에 따르면 기업 자원은 인간, 기술, 시장가치, 재무로 구성되어 있으며, 고객 만족도는 제품만족도와 서비스 만족도로 구성된다. 기존연구를 통해, 소프트웨어 기업들의 역량을 평가하기 위한 요소로 인적자원, 기술, 고객 만족도와 서비스 만족도 등이 도출되었으며, 통계 검증을 통해 매출성과와 매출성과에 영향을 미치는 요소들의 관계를 증명하였다.

• 한국소프트웨어감정평가학회 논문지
• /
• 제15권2호
• /
• pp.1-7
• /
• 2019

프로그램 유사성 분석은 실질적 유사성과 의거성 분석으로 이루어진다. 실질적 유사성은 프로그램 소스 코드가 정량적으로 어느 정도 유사한가에 대한 판단이다. 의거성은 프로그램내의 주석이나 그 외 여러 가지 정황적 증거를 분석을 통해 유사성 정도를 판단한다. 매뉴얼의 경우, 의거성 분석의 대상이 될 수가 있다. 매뉴얼은 다음과 같이 3종류로 구분될 수 있다. 첫째, 마스터 매뉴얼은 제품의 개발 단계에서 작성하는 문서로서 해당 제품과 해당 제품의 파생 제품에 대한 모든 기능이 포함된 사용 설명서이다. 둘째, 고객 매뉴얼은 1차 고객이자 주문자에게만 공개하는 설명서이다. 셋째, 사용자 매뉴얼은 최종 OEM 생산단계에서 적용되는 문서로써 최종 구매자에게 공개되는 설명서이다. 본 논문에서는 피의자들로부터 압수한 마스터 매뉴얼과 피의자들이 인터넷 상에서 제공하고 있는 마스터 매뉴얼을 비교한다. 그리고 이 마스터 매뉴얼이 얼마나 유사하고 피해 회사만의 독창적이면서 재산적 가치를 포함하는지 여부를 판단한다.