• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.281-282
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• 2014

본 연구의 목적은 과학기술정보서비스에 대한 고객만족도를 기반으로 하여 충성고객을 예측할 수 있는 모델을 구축하는 것이다. 이를 위해 정보서비스를 경험한 최근 1년이내 한국가과학기술전자도서관(NDSL : National Digital Science Library)사이트를 이용한 회원을 대상을 조사를 하였으며, 조사목적은 NDSL 서비스의 추천지수 측정을 통하여 추천, 비추천 사유를 파악하기 위함이다. 조사방법은 전화조사(Telephone Interview)로 진행하고 표본 수는 500명의 의사결정자를 대상으로 측정하였다. 고객충성도는 NPS(Net Promoter Score, 순고객추천지수) 이론에 근거하여 하였다. 연구결과 고객만족도 수준에 따라 비추천고객, 추천고객을 예측할 수 있는 모델을 구축하였다. 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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.63-64
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• 2016

고객만족 활성화를 위한 노력의 하나로 NPS 기반의 심층 VOC를 수집하여 프로세스 기반의 프레임워크 전략을 제안한다. 기존의 고객 Segmentation 방식은 조사 대상 전체의 응답자 특성을 기반으로 한 방식이다. 이 번의 제안한 전략 프레임워크는 순고객추천지수(NPS : Net Promoter Score) 실사를 통한 고개의 심층 VOC(Voice of Customer)를 기반으로 분석한 방식이다. 본 논문에서는 KISTI의 과학기술정보 서비스에 대한 고객만족도를 기반으로 하여 충성고객을 예측할 수 있는 프레임워크를 구축하는 것이다. 이를 위해 서비스를 경험한 2,500여 명의 의사결정자를 대상으로 과학기술정보 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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.201-202
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• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.117-118
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• 2022

한국과학기술정보연구원(이하 KISTI)은 지난 13년 간 전사적으로 품질제고전략, 서비스만족전략, 이미지 제고전략 등 3대 고객만족 추진전략을 수립하여 체계적인 "고객만족경영시스템(CSM : Customer Satisfaction Management)"을 구축하고 이를 강화하기 위한 노력을 기울여 왔다. 본 연구의 목적은 순고객추천지수(Net Promoter Score:NPS)를 활용하여 과학기술지식인프라(ScienceON) 정보서비스를 경험한 500명의 의사결정자를 대상으로 과학기술정보서비스에 대한 고객 만족 및 고객충성도를 측정하였다. 특히 연구결과는 정량적인 측정모델(KCSI-ST)을 보완하고 고객만족도 수준에 따라 비추천 고객, 중립 고객, 추천 고객 등을 예측할 수 있는 모델이다. 이와 같은 고객의 긍정적이거나 부정적인 구전으로 급속도로 노출되는 환경에서 고객의 만족도를 분석함으로써 기관의 주요 서비스별 고객을 확보하는데 사전 예측자료로 활용될 수 있다고 본다.

• Korean Journal of Construction Engineering and Management
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• v.11 no.6
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• pp.100-110
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• 2010

The main roots of CM service contracts include existing customer repurchases and those made by new customers by existing ones. The study on customers and loyalty can be factors to strengthen CM's competitiveness. However, there have been little attempt to study customer satisfaction and customer loyalty. Construction Management (CM), the advanced construction management method, was introduced 15 years ago in the mid 1990's in the domestic market. The aim of this research is to build a model that can predict customer loyalty based on how much customers are satisfied with CM service. To measure customer satisfaction and loyalty, this research surveyed 135 decision-makers who have experienced CM services. Customer satisfaction was tested and analyzed according to different phases: planning, designing, procurement, construction, and post construction. Referral intention was tested based on NPS theory. Customer types were divided into detractors, passively satisfied and promoters according to the tested measurement and multinomial logistic regression between the satisfaction by construction phases and customer types. This research resulted to a model that can predict customer types: detractors, passively satisfied and promoters, which were determined according to satisfaction level. The initial planning phase also revealed which factor is most influential for a customer to become promoter. These results can be used to acquire customer loyalty by managing the satisfaction of customers through a project under an Internet-based environment. Such can provide the needed information in quickly exploring positive and negative word-of-mouth feedbacks.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.2
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• pp.139-154
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• 2011

The golden rule of CRM should be core customers. They show such passionate partnership with the company that they actively put forth their opinion to improve products and service through voluntary pro-company activities and participate in the development of new products through open innovation. Therefore, the top priority of a company should be given to defining its core customers and accurately understanding and managing them, which would contribute to the growth of the company. It has become more important nowadays how to manage a long-term customer relationship, for it can assure the company of increased income in spite of steep competition with rival companies. Therefore strong customer relationship is an important means of proving the company with competitive edge and maximizing company income.

• Journal of Korean Society for Quality Management
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• v.37 no.2
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• pp.58-67
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• 2009

Customer Satisfaction Management(CSM) is becoming more common and the importance of measuring the CS Index(CSI) is getting higher and higher. Furthermore, the existing CSI have many problems in view of the link between enterprise result and those indecision, which could not explain the links clearly. Therefore, NPS(Net Promoter Score) index have been developed by Fred Reichheld and the NPS shows up rapidly and attract attention. In this paper, we provide conceptual frameworks on the links among the latent variables(total CSI, elementary CS and the referral) and propose more effective and practical index between CSI and the "would recommend" index through testing the Structural Equation Model(SEM) on "CSI${\leftrightarrow}$would recommend${\leftrightarrow}$referral".

• The Korean Journal of Applied Statistics
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• v.23 no.6
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• pp.1023-1034
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• 2010

Noryangjin fisheries wholesale market is the largest wholesale seafood market in Seoul and the steady supply of fish is important in meeting consumer demand. Recent expansions (such as discount stores) has changed the fish distribution model and Noryangjin Fisheries Market is developing a new customer-oriented service strategy. In this study, we found the customer satisfaction factors and established a survey system for customer satisfaction for Noryangjin fisheries wholesale market. In addition, the customer satisfaction and loyalty levels are accurately diagnosed through surveys; in addition, the strategic direction of the customer satisfaction of Noryangjin fisheries wholesale market is presented.

• 대한공업교육학회지
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• v.44 no.1
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• pp.190-208
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• 2019

This study was carried out to evaluate the job implementation of in-service training on career education & guidance teacher's career education in the National Education Training Institute. To accomplish this purpose, pre-survey & pre-survey, sucess case method, and return on expectation were investigated after 3 months completing in-service teacher training. The populations of this study were conducted for 136 career education & guidance teachers who completed in-service teacher training at the National Education Training Institute in July, 2018, and it was conducted by survey research and qualitative content analysis of job implementation. Among the 136 trainees who completed the training, 75 responded to the job implementation survey and 4 people participated in the successful case technique. As a result, the average value of job implementation was 4.17 out of 5 points, which was relatively high. The success case technique was analyzed by interviewing success cases and failure cases. Behavior change according to job implementation was the biggest role of Planner, followed by role of Instructor, role of Career educator, role of Learner. In addition, the case analysis provided the opinions of the interviewers in terms of motivation, competence, and environment for job implementation. In terms of the return on expectation, 85.3% of the respondents were positive, and the net promoter score was .85, indicating that the participants were satisfied with their willingness to participate in the training again. Based on the results of this study, we suggest that it will be required to study about new training methods and extra factor analysis.