• 한국의류산업학회지
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• 제5권3호
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• pp.235-243
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• 2003

This study is to figure out where the current satisfaction with ready-to-wear clothes based on middle-aged women's body shapes is at and to propose basic considerations in its production for coming up with a better sizing system to maximize customer's satisfaction. The data obtained from measurement and questionnaire by 126 middle- aged (35-59) women which were located in Gwangju. Followings are summary of this research, 1)The satisfaction level with lower -wear is relatively lower-wear than that of upper-wear in most parts of body. 2) The results by way of putting score show three different groups. Group 1 has characteristics of front body silhouette in the small ratio of shoulder width/bust width, shoulder width/waist width and big ratio of shoulder width/hip width. And Group 3 has characteristics of front silhouette, small ratio of hip girth/thigh girth. Group 2 has a standard shape. 3) The satisfaction level with lower-wear based on middle-aged women's body shapes shows slight difference. In this category, Group 2 has higher satisfaction level than that of Group 1, while Group 1 has better shape than Group 3. 4) The items of clothes which should be considered current less satisfaction on their size and pattern are skirt and pants. In the meantime, specific body parts for the same criteria are hip girth, thigh girth. And the 43.7% of middle-aged women who responded to this study requires improvement on the fit of lower-wear.

• 한국컴퓨터정보학회논문지
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• 제24권3호
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• pp.191-199
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• 2019

This study is about online purchases of foods that have been reluctant to deal with distribution processes and reliability issues. We find out that attributes of the online food market affects behavior intention and whether it differs according to consumption tendency. A survey was conducted on consumers who had ever purchased food online for hypothesis testing. Reliability and feasibility were reviewed for the collected data and the hypothesis was verified through structural equation model analysis. While product diversity, product information and customer service factors of the online food market significantly affect behavior intention, price is not. We identified differences in the impact of behavior intention on consumption tendencies. For the Gaseongbi group, only the product information factors have significant effect on behavior, and for the Gasimbi group, the price and customer service factors have a significant effect on behavior intention. The findings provide theoretical and practical implications for marketers to study various marketing method based on consumer tendencies.

• 한국정보시스템학회지:정보시스템연구
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• 제33권1호
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• pp.115-131
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• 2024

Purpose This study aims to analyse the impact of the development of fintech and the emergence of internet primary banks due to the increasing use of smartphones on the performance of traditional local banks from both financial and non-financial perspectives. Return on equity (ROE) and return on assets (ROA) are used to assess the performance differences between the two types of banks and how these differences are affected by their financial characteristics. Design/methodology/approach Using return on equity (ROE) and return on assets (ROA) as indicators, we identified the differences in operating performance between the two types of banks. In addition, this study analysed the impact of financial characteristics on profitability through regression analysis with various control variables. We further studied the impact of non-financial characteristics (customer reviews, social media reactions, etc.) on operating performance. Findings The net interest margin ratio of local banks had a positive impact, while the marketable securities ratio of Internet primary banks had a negative impact. The non-financial analysis shows that the number of customer reviews and social media reactions have a significant impact on the performance of Internet primary banks, suggesting that customer satisfaction and positive market perception are important factors in the performance of Internet primary banks.

• 한국전자거래학회지
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• 제9권2호
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• pp.109-121
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• 2004

본 논문은 고객에 대한 정보를 세분화하고 분석한 후 새로운 개인화 정보를 생성하여 자동으로 각 개별고객에게 개인화된 정보를 자동으로 제공해 줄 수 있는 시스템을 제안한다. 제안하는 시스템은 고객의 이메일 오픈율과 마우스 이벤트 정보를 분석 및 계산하여 개별 고객의 관심 정보 및 선호 이메일 양식을 생성한다. 생성된 관심 정보와 선호 이메일 형식를 이용하여 개별 고객의 관심 정보를 고객이 선호하는 이메일 규격 및 형식에 맞게 에이전트를 통해 자동으로 재구성하여 고객에게 푸쉬해 준다. 설계하고 구현한 시스템은 실험을 통한 성능평가에서 높은 이메일 오픈율과 사용자 만족도를 보였다.

• 산업경영시스템학회지
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• 제41권4호
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• pp.50-58
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• 2018

Process Capability ($C_{pk}$) is a representative measure of how well the producer manages dispersion and bias for the specifications needed by the consumer. This is expressed as a ratio of 6 times the natural tolerance to the specification. As the producer manages the dispersion small, the capacity index becomes higher. And it is classified into 5 grades according to the degree of management. It is a measure of the quality of processes used in most industrial fields. However, $C_{pk}$ is calculated by only reflecting the mean and dispersion of the process, there is a disadvantage that it can not give information about the economic loss caused by the inconsistency of the process with the target value. Overcoming these drawbacks, process capability indexes reflecting various types of loss functions such as $C_{pm}$, $C^+_{pm}$ and $C_{pl}$ have been developed. However, all of these previous studies have applied the limit to the consumer specification, which is based on the traditional and passive quality perception that the quality characteristic should exist within the limits of the consumer specification. In this study, we will develop 'Customer Satisfaction Quality Indicator (CSQI)' which is a quantitative indicator that can be fully evaluated when the manufacturer's specification limit, which is an aggressive quality strategy, is applied. This is expected to be useful decision information for both producers and consumers.

• 품질경영학회지
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• 제33권4호
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• pp.21-41
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• 2005

This study analyzes the Internet utilization pattern of customer by comprehensively investigating the previous studies on the behavior pattern of customer in terms of Internet business. Based on the analysis, this study develops research framework that supports strategic decision-making for resource allocation in Internet business. Such research framework would be helpful for providing the typology of Internet business model that can be specialized by each industry. As a result of the simulation analysis, it was found that the optimal resource allocation portfolio providing maximum profits to the Internet bookstore involves large-scale investment on delivery service and customer support service which are the key factors for post-purchase customer satisfaction, regardless of the growth pattern or size of Internet bookstore market. Consequently, from the above analysis, the investment ratio of resources for the profit maximization of Internet bookstore was drawn. Conclusively, based on the comprehensive examination of the results, this study provided a framework for dynamic resource allocation decision-making, and proposed a management strategy which allows consumers to shop under more favorable environment, and simultaneously enables the Internet bookstore to accomplish management objectives such as continuous growth and profit maximization.

• 동아시아식생활학회지
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• 제18권6호
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• pp.1089-1098
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• 2008

The principal objective of this study was to reveal the relationship between the menu management indicators and menu performance indicators in contract-foodservice operations. Menu indicators differed according to the type of business, type of contract, type of serving, and number of service lines. In accordance with the results of our correlation analysis, we noted significant correlations between menu performance indicators and menu management indicators. The first of these was the correlation between the food cost ration and meal counts, food loss, and the use of prepared vegetables. The second of these was the correlation between food cost per meal and forecasting error, food loss, and inventory turnover. The last of these correlations was the negative correlation between menu CSI(customer satisfaction index) and the use of prepared vegetables. According to the results of our canonical correlation analysis, 2 significant functions were identified. In the first function, we noted significant correlations between meal counts, use of prepared vegetables, food loss, and food cost ratio. Additionally, we noted significant correlations between forecasting error, inventory turnover, food loss, and food cost per meal in the second function. Menu management indicators had no influence on customer satisfaction.

• 한국철도학회논문집
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• 제15권3호
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• pp.300-305
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• 2012

도시철도 이용고객이 요구하는 수요와 도시철도가 제공하는 공급인 '절약된 시간'은 상시 균형을 유지해야 한다. 균형에 영향을 미치는 특성요소로는 통행량, 고객접점시설물, 장애건수, 고객민원(VOC), 고객이동시간, 환승역 여부로 선정하였다. 또한 각 특성요소별로 등급을 차별화시켜 5,6,7,8호선 전 역사의 종합등급을 산출하였다. 이는 특성이 상이한 역사를 차별화시키고 맞춤형 서비스의 기준을 표준화시킨 것이다. 아울러 표준화 실행의 일환으로서 인적,물적관리의 개선을 위해 시설물 관리 표준화 도면을 작성하였다. 도면에는 역 특성요소 등급 및 종합평가 등급을 표기하고, 고객의 주요 이동동선, 안전사고 발생개소 등을 도면화하였다. 결론적으로 역사의 차별화된 관리 및 점검효과의 극대화를 체질화함으로서 고객의 신속한 이동보장, 이동시간 단축 등 고객서비스 만족도를 지속적으로 개선하고자 한다.

• 지능정보연구
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• 제18권2호
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• pp.177-192
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• 2012

최근 추천시스템에 대한 연구는 고객에게 적합한 상품을 추천하는 것에서 진일보하여, 고객이 선호할만한 친구나 배우자를 추천해주는 인맥 연결분야로 확장되고 있다. 이러한 인맥 연결의 주요한 분야로 미혼남녀를 소개시키는 온라인 데이트시스템을 생각할 수 있다. 본 연구는 사용자에게 적합한 데이트 상대를 추천해주는 온라인 매칭시스템을 제안한다. 제안된 시스템은 기존의 상품추천 시스템과는 다르게, 추천 받는 고객뿐만 아니라, 추천 되는 상대방의 호감도를 함께 고려하여, 양자가 상호 대칭적인 만족도를 갖도록 설계하였다. 또한, 인기인에게 추천이 편중되거나, 비인기인들이 추천에서 소외되지 않고, 시스템 참여자들이 전체적으로 일관된 추천 만족도를 가질 수 있도록 하였다. 본 연구에서 제안한 매칭 시스템은 Mutually Beneficial Matching(MBM) 시스템이라 명명하였으며, 이를 다른 두 일반적인 매칭 기법인 Preference-Based Matching(PBM) 기법 및 Arithmetic Mean-Based Matching(AMM) 기법과 비교하여 성능평가를 수행하였다. 즉, 위의 세 가지 기법을 Java를 사용하여 prototype으로 구현한 후, 가상의 미혼남녀 200명의 데이터에 적용하여 비교 분석하였다. 그 결과, 제안된 MBM 기법이 PBM 및 AMM 기법에 비하여 통계적으로 유의하게 높은 상호호감도(Mutual Preference)를 보임을 알 수 있었고, 호감도의 대칭성(Symmetric Ratio)도 대부분의 경우 높게 도출됨을 확인하였다. 뿐만 아니라, 제안된 MBM 기법은 PBM 기법보다 추천에서 소외된 고객 수(Number of Outsiders)가 적어서, 매칭 pool안의 사용자들에게 전체적으로 호혜적이고 일관된 추천서비스를 제공할 수 있을 것으로 기대된다.

• Industrial Engineering and Management Systems
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• 제7권3호
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• pp.214-227
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• 2008

Today's dynamic competitiveness requires an organization to improve its performance measurement and management. Quality Management Systems (QMS) abound, the main ones being: ISO series, Malcolm Baldridge National Quality Award (MBNQA), European Forum for Quality Management (EFQM), Six Sigma Business Scorecard and the Balanced Scorecard. Based on the literature, the IPMMM (Integrated Performance Measurement and Management Model) identified 7 key synthesized factors: leadership, strategy management and policy, customer and market, learning and growth, partnership and resources, internal processes and business results that are employed to investigate the key performance indicators of a car assembler using the Delphi methodology. In the 2 rounds of Delphi panels consisting of 20 senior management personnel, the $1^{st}$ round of 198 indicators in the IPMMM yielded 90 indicators. The $2^{nd}$ round yielded 43 performance indicators with 18 rated as critical based on the % assigned in the $1^{st}$ and $2^{nd}$ priority rating of "very important factor" and "key performance indicator" that must be ranked high on both of the priorities. The very critical indicators appeared to be: defect percentage and first time capability (tie in $1^{st}$ place) and revenue, goal setting, customer satisfaction index, on-time delivery, brand image, return on investment, Claim Occurrence Ratio, and debt being ranked from $3^{rd}$ to $10^{th}$. It can be surmised that an organization can identify and develop an appropriate set of performance indicators through the Delphi methodology and implement and manage them based on the Balanced Scorecard.