• Title/Summary/Keyword: VOC(Voice Of Customer)

Search Result 36, Processing Time 0.025 seconds

A Study on the User's Behavior of the S&T Information - A Case study of KOSEN (과학기술정보의 이용행태에 관한 연구 -KOSEN 사례를 중심으로)

  • Kim, Sang-kuk
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2018.01a
    • /
    • pp.201-202
    • /
    • 2018
  • 본 논문에서는 국내에서는 처음으로 이용 고객의 변화를 3년간 추적하여 이용행태를 인지하고 대비하기 위해 적용한 방법으로서, 순고객추천지수(NPS : Net Promoter Score) 실사를 통한 고개의 심층 VOC(Voice of Customer)를 기반으로 분석한 방식이다. KISTI의 해외과학기술자네트워크(KOSEN : The Global Network of Korean Scientists & Engineers)의 서비스에 대한 고객만족도를 기반으로 하여 충성고객을 예측할 수 있는 프레임워크를 구축하는 것이다. 이를 위해 서비스를 경험한 500여명의 의사결정자를 대상으로 해외과학기술자네트워크 서비스에 대한 고객충성도를 분석하였다. 이와 같은 연구결과는 인터넷 등 정보의 발달로 고객의 긍정적 또는 부정적인 구전이 급속도로 노출되는 환경에서 고객의 만족도를 관리함으로써 충성고객을 확보하는데 사전 예측자료로 활용될 수 있다.

  • PDF

Middle and Elderly Women's Formal Knitwear Design Attributes Based on the Quality Function Deployment Theory (품질 기능 전개(QFD) 이론을 적용한 중.노년층 여성 니트 정장 디자인 속성)

  • Park, Jae-Ok;Lee, Yoon-Mee
    • The Research Journal of the Costume Culture
    • /
    • v.17 no.3
    • /
    • pp.484-498
    • /
    • 2009
  • The purpose of this study is to explore the applicability of QFD to product development of clothes by empirically applying it to development of a specific clothes, middle and elderly women’s formal knitwear. The voices of customers(VOCs) for formal knitwear was collected through in-depth interviews with 25 customers, shop masters, and designers. Also, questionnaires of which respondents were 230 customers were used to rank the importance of the items of VOC. A QFD team of 10 knitwear experts implemented the task of translating VOCs into design attributes and measuring the values of the relationships between VOCs and design attributes. Importance ranking of the items of design attributes was obtained based on Lyman's method. The results of this study were as follows. First, the customer requirements for formal knitwear were classified into five dimensions, that is, symbolism, aesthetic, fitness, usefulness, and maintenance. Second, the descending order of the necessity of improving the quality was maintenance, aesthetic, fitness, usefulness, and symbolism. Third, three-staged design attributes were obtained as a result of translating of VOCs into design attributes. Lastly, the descending order of the importance of design attributes was "sorts of yarn", "sorts of color jacquard", "color", "tone", "ease", etc.

  • PDF

Classification of V.O.C in The Door-to-Door Delivery Service Using Machine Learning Techniques (기계학습을 이용한 택배 고객의 소리 분류)

  • Hong, Seong-Yun
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2012.04a
    • /
    • pp.329-332
    • /
    • 2012
  • 국내 택배시장 규모는 매출 3조원 이상, 물량 13 억 상자 이상을 처리하고 있다. 2000년 6천억원에서 불과 10년 사이에 500% 이상 확대되었다. 그에 반해 소비자들의 불만 역시 증가하였다. 따라서 현재의 수작업 VOC 분류 방식으로는 적정한 대응에 한계가 있을 수 밖에 없다. 이 논문에서는 효율적인 택배불만 처리를 위해서 불만의 종류와 정도를 기계학습을 이용하여 자동분류 하는 과정 및 결과를 기술한다. 약 93,000건의 VOC(voice of customer)를 대상으로 학습 데이터를 구축하고 여러 자질 선택 기법을 비교하였으며, 기존의 다양한 문서 자동 분류 방법들을 적용해 보았다. 실험결과 지지벡터기계가 가장 좋은 성능을 보였고, 각각의 F-measure 값은 불만의 정도는 83.1%, 불만의 종류는 75.9% 로 측정되었다.

QFD를 활용한 음식물처리기 품질요인 도출

  • Lee, Tae-Yang;Lee, Jae-Gwang
    • Proceedings of the Safety Management and Science Conference
    • /
    • 2010.04a
    • /
    • pp.347-357
    • /
    • 2010
  • 본 논문은 QFD(Quality Function Development)기법을 활용하여 소비자의 요구사항을 반영한 음식물 처리기의 핵심 품질 요소를 도출하는데 목적을 두었다. 일반 소비자와 관련업계 종사자를 대상으로 설문조사와 FGI를 실시하여 VOC(voice of customer)를 도출하였고, 전문가 그룹을 통해 EC를 도출하여 VOC와 EC(Engineering Characteristic)간의 상관관계를 도표화 하여 HOQ(House Of Quality)를 작성하였다. HOQ 차트를 통해 분쇄건조식 음식물 처리기에 있어 우선시 되는 것은 음식물 분쇄기능, 건조기능 외에 냄새 배출기능, 외관 색상 등의 요소가 중요한 품질요인이라는 결과을 도출하였다. 부품별 요인으로는 분쇄 탈수와 관련 된 모터와 냄새 제거와 관련한 팬모터가 가장 핵심 부품으로 고려되어야 한다는 결과를 도출하였다.

  • PDF

Optimization of wiring process in semiconductor with 6sigma & QFD (6시그마와 QFD를 활용한 반도체용 wire공법 최적화 연구)

  • Kim, Chang-Hee;Kim, Kwang-Soo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • v.7 no.3
    • /
    • pp.17-25
    • /
    • 2012
  • Wire bonding process in making semiconductor needs the most precise control and Critical To Quality(CTQ). Thus, it is regarded to be the most essential step in packaging process. In this process, pure gold wire is used to connect the chip and PCB(substrate or lead frame). However, the price of gold has been skyrocketing continuously for a long period of time and is expected to further increase in the near future. This phenomenon situates us in an unfavorable condition amidst the competitive environment. To avoid this situation, many semiconductor material making companies developed new types of wires: Au.Ag wire is one material followed by many others. This study is aimed to optimize the parameter in wire bonding with the use of 6sigma and QFD(Quality Function Deployment). 6sigma process is a good means to not only solve the problem, but to increase productivity. In order to find the key factor, we focused on VOB(Voice of Business) and VOC(Voice of Customer). The main factors from VOB, VOC are called CTQ. However, there were times when these main factors were far from offering us the correct answer, thus making the situation more difficult to handle. This study shows that QFD aids in deciding which of the accurate factors to undertake. Normally QFD is used in designing and developing products. 6sigma process is held more effective when it used with QFD.

  • PDF

A Comparison Research on the Expected Satisfaction and Actual Satisfaction on VOC of one General Hospital (서울소재 일개 종합병원의 CRM에 대한 기대만족도와 실제만족도 비교와 VOC활용)

  • Ma, Yeon-Ji;Kim, Jeong-Ah;Park, Seung-Woo;Oh, Eun-Hwa;Moon, So-Young;Rhee, Hyun-Sill
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.11 no.3
    • /
    • pp.1146-1152
    • /
    • 2010
  • The Korean healthcare industry is rapidly changing along with the competition among hospitals. In the past, hospitals could make profit without designing competitive management strategies. Thus, they did not find importance in listening to customers' voices and identifying their wants. However, nowadays, the increasingly intense competition is encouraging hospitals to seriously consider competitive management strategies and Customer Relationship Management (CRM) activities to gain a competitive advantage and prosper. It tries to compare the expected satisfaction with the satisfaction of out-patient and in-patient and analysis of VOC(Voice of Customer). This survey was done from 27th, April, 2009 to 8th May and each 100 in-patients and out-patients. The paired t-test and descriptive analysis was used to analysis between before and after satisfaction. The result, the replied out-patients were the highest of I.M department, 43% and in-patients, surgery and other department are the highest each 22.0%. Nurses kindness is statistical significant in out-patients. Doctor, Nurse and staff's kindness and rounding service was statistical significant in in-patients. Totally, the satisfaction was lower than expected satisfaction, so the medical care institutions should analyst detailed the patient's satisfaction by VOC.

The Quality Characteristics Based on Customer-required Attributes of Middle and Elderly Women's Formal Knitwear (고객요구속성을 반영한 중.노년층 니트정장 품질특성)

  • Lee, Yoon-Mee;Park, Jae-Ok
    • Journal of the Korean Society of Clothing and Textiles
    • /
    • v.34 no.5
    • /
    • pp.844-855
    • /
    • 2010
  • An important issue for the improvement of product quality is to identify and understand the customer-required attributes of a product. This paper identifies and analyzes customer-required attributes of formal knitwear for middle age and elderly women through the use of the Kano model in order to develop competitive products. Various research methods were used in this study. Customer voices for formal knitwear were collected by means of brainstorming and in-depth interviews. The collected customer voices were transformed into customer-required attributes with the use of an affinity diagram. In addition, the data was collected by means of a questionnaire and was statistically analyzed to examine the dimensions of customer-required attributes on the basis of the Kano model. The results are as follows. Five categories of customer-required attributes were identified (symbolism, aesthetic, fitness, usefulness, and maintenance). The analysis based on the Kano model identifies a strong one-dimensional quality in all of the categories of customer-required attributes and the attractive quality that includes a one-dimensional quality in the categories of fitness and usefulness. The findings of this study demonstrate the applicability of the affinity diagram for apparel that educates formal knitwear developers of the customer-required attributes that they should strategically focus on in order to develop competitive products.

CS Road Map unifying service quality managment, customer satisfaction and value creation (서비스 품질 관리를 통한 고객 만족과 가치 창출을 위한 Road Map)

  • 우지영;윤의탁;박상찬
    • Proceedings of the Korean Society for Quality Management Conference
    • /
    • 2004.04a
    • /
    • pp.371-375
    • /
    • 2004
  • As the importance of customers has been emphasized, most companies began to operate various CRM strategies to understand and manage customers' needs. The investments that businesses are making are categorized into four areas. The first area of investments is in contact centers and channels to manage the voice of customers. The second area is in loyalty management, target marketing using segmentation, profiling, profitability analysis and targeting. The third one is involved in the measurement of customer satisfaction. The last one is planning to deliver products and services to appropriate customers. Despite the various efforts, it is lowering the efficiency of these investments and interrupting their value creation that these are being operated independently in different departments. All CRM activities of an enterprise should be processed interactively and consistently for a common goal; value creation, to overcome these shortcomings. In this research, we propose CS Road Map that systematizes the four kinds of CRM activities; VOC management, survey activities, loyalty management and planning. Under this road map, these four activities will achieve the improvement of service qualities, customer satisfaction and further value creation. This paper demonstrates the road map that is built for a service industry emphasizing the objectives and strategies of the four categories.

  • PDF

Customer Behavior Prediction of Binary Classification Model Using Unstructured Information and Convolution Neural Network: The Case of Online Storefront (비정형 정보와 CNN 기법을 활용한 이진 분류 모델의 고객 행태 예측: 전자상거래 사례를 중심으로)

  • Kim, Seungsoo;Kim, Jongwoo
    • Journal of Intelligence and Information Systems
    • /
    • v.24 no.2
    • /
    • pp.221-241
    • /
    • 2018
  • Deep learning is getting attention recently. The deep learning technique which had been applied in competitions of the International Conference on Image Recognition Technology(ILSVR) and AlphaGo is Convolution Neural Network(CNN). CNN is characterized in that the input image is divided into small sections to recognize the partial features and combine them to recognize as a whole. Deep learning technologies are expected to bring a lot of changes in our lives, but until now, its applications have been limited to image recognition and natural language processing. The use of deep learning techniques for business problems is still an early research stage. If their performance is proved, they can be applied to traditional business problems such as future marketing response prediction, fraud transaction detection, bankruptcy prediction, and so on. So, it is a very meaningful experiment to diagnose the possibility of solving business problems using deep learning technologies based on the case of online shopping companies which have big data, are relatively easy to identify customer behavior and has high utilization values. Especially, in online shopping companies, the competition environment is rapidly changing and becoming more intense. Therefore, analysis of customer behavior for maximizing profit is becoming more and more important for online shopping companies. In this study, we propose 'CNN model of Heterogeneous Information Integration' using CNN as a way to improve the predictive power of customer behavior in online shopping enterprises. In order to propose a model that optimizes the performance, which is a model that learns from the convolution neural network of the multi-layer perceptron structure by combining structured and unstructured information, this model uses 'heterogeneous information integration', 'unstructured information vector conversion', 'multi-layer perceptron design', and evaluate the performance of each architecture, and confirm the proposed model based on the results. In addition, the target variables for predicting customer behavior are defined as six binary classification problems: re-purchaser, churn, frequent shopper, frequent refund shopper, high amount shopper, high discount shopper. In order to verify the usefulness of the proposed model, we conducted experiments using actual data of domestic specific online shopping company. This experiment uses actual transactions, customers, and VOC data of specific online shopping company in Korea. Data extraction criteria are defined for 47,947 customers who registered at least one VOC in January 2011 (1 month). The customer profiles of these customers, as well as a total of 19 months of trading data from September 2010 to March 2012, and VOCs posted for a month are used. The experiment of this study is divided into two stages. In the first step, we evaluate three architectures that affect the performance of the proposed model and select optimal parameters. We evaluate the performance with the proposed model. Experimental results show that the proposed model, which combines both structured and unstructured information, is superior compared to NBC(Naïve Bayes classification), SVM(Support vector machine), and ANN(Artificial neural network). Therefore, it is significant that the use of unstructured information contributes to predict customer behavior, and that CNN can be applied to solve business problems as well as image recognition and natural language processing problems. It can be confirmed through experiments that CNN is more effective in understanding and interpreting the meaning of context in text VOC data. And it is significant that the empirical research based on the actual data of the e-commerce company can extract very meaningful information from the VOC data written in the text format directly by the customer in the prediction of the customer behavior. Finally, through various experiments, it is possible to say that the proposed model provides useful information for the future research related to the parameter selection and its performance.

A Study on the Quality Improvement of Mechanical Drawing Notes Using Lean 6 Sigma Analysis (린 6시그마 분석을 통한 도면 주기 품질 향상 방안 연구)

  • Jeon, Yong Gu;Huh, Hyoung Jo;Lee, Seong Bae;Park, Hun Hyuk;An, Byung Guk
    • Journal of Korean Society for Quality Management
    • /
    • v.48 no.3
    • /
    • pp.381-393
    • /
    • 2020
  • Purpose: The purpose of this study was to find useful solutions by analyzing causes and results about defects on mechanical drawing notes and provide an automated tool with solutions to mechanical engineers. Methods: The collected data for defects on mechanical drawing notes were from ongoing development and mass production projects. Various measurement methods were used based on the Lean 6 Sigma analysis such as Process analysis, C&E diagram and some statistical analysis. Results: The results of this study are as follows; The results of the Lean 6 Sigma analysis, the validity of the selected indicators for improving drawing notes quality was verified through the verification of cause variables. The strategy established to improve the mechanical drawing notes was reflected as an automated program, and the defects were within a manageable range and achieved target Sigma level. Conclusion: Through the application of the "Mechanical drawing notes automation tool", it is expected to resolve the "Voice of Customer, VOC" and "Voice of Business, VOB".