• 대한안전경영과학회지
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• 제8권5호
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• pp.57-70
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• 2006

Kano model offers an effective way to understand customer requirements strategically Thus, the integration of Kano model and QFD can reflect customer requirements more effectively in designing new product. Most of previous studies on the integration have been focused customer attributes, but engineering characteristics are used at the final stage of new product design. It is proposed that how to classify engineering characteristics into Kano's elements and how to use the classified results in new product development process in this thesis. A case example is included to explain the proposed method.

• 한국산업융합학회 논문집
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• 제27권4_1호
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• pp.759-769
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• 2024

The Kano model, a two-dimensional quality theory, is widely used as a useful tool for measuring potential customer requirements by utilizing the concept of the Potential Customer Satisfaction Coefficient (PCSC). There is growing evidence that the PCSC, comprising the Potential Satisfaction Coefficient (PSC) and Potential Dissatisfaction Coefficient (PDC) and utilizing Kano's four quality dimensions (A, O, M, and I), can be particularly useful in determining the relative importance of quality characteristics in IPA. Despite prior studies utilizing the PCSC concept for characterizing importance, attempts to determine the relative significance among quality dimensions have been relatively scarce. This study aims to use PCSC and IPA to demonstrate which quality dimension is more significant than the others. The author analysed 32 Kano related articles, encompassing 34 cases, using IPA. The results indicate that the proposed equations are valid for assessing characteristic importance, with O or M is perceived as more important than A or I.

• 경영정보학연구
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• 제25권1호
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• pp.111-128
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• 2023

인공지능(AI) 기술이 발전함에 따라 빅데이터 기반의 상품 선호도 추정 개인화 추천시스템에 관심이 증가하고 있는 추세이다. 하지만 개인화 추천이 적합하지 않은 경우 고객의 구매 의사를 감소시키고 심지어 금융상품의 특성상 막대한 재무적 손실로 확대될 수 있는 위험을 가지고 있다. 따라서 고객의 특성과 상품 선호도를 포괄적으로 반영한 추천시스템을 개발하는 것이 비즈니스 성과 창출과 컴플라이언스 이슈 대응에 매우 중요하다. 특히 금융상품의 경우 개인의 투자성향과 리스크 회피도에 따라 고객의 상품 선호도가 구분되므로 축적된 고객 행동 데이터를 활용하여 맞춤형 추천서비스를 제안하는 것이 필요하다. 이러한 고객의 행동 특성과 거래 내역 데이터를 사용하는 것뿐만 아니라, 고객의 인구통계정보, 자산정보, 종목 보유 정보를 포함하여 추천 시스템의 콜드 스타트 문제를 해결하고자 한다. 따라서, 본 연구는 고객의 거래 로그 기록을 바탕으로 고객의 투자성향과 같은 특성 정보와 거래 내역 및 금융상품 정보를 통해 고객별 금융상품 잠재 선호도를 도출하여 딥러닝 기반의 협업 필터링을 제안한 모형이 가장 성능 우수한 것을 확인하였다. 본 연구는 고객의 금융 투자 메커니즘을 기반으로 금융상품 거래 데이터를 통해 미거래 금융상품에 대한 예상 선호를 도출하는 추천 모델을 구축하여, 선호가 높을 것으로 예상되는 상위 상품군을 추천하는 서비스를 개발하는 것에 의의가 있다.

• 한국정보시스템학회지:정보시스템연구
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• 제19권3호
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• pp.75-103
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• 2010

This study analyzes a model appling value in the mobile learning. We investigate the interaction, ease of use, hedonic value, and utilitarian value considering importance factors in the mobile learning, and the customer values are found to influence the customer satisfaction. We analysis a relationship between these factors and the customer satisfaction, and the relationship between the customer satisfaction and the loyalty. Finally, we research difference among gender of the satisfaction on the mobile learning. To fulfill this purpose, the research model was designed from literature review, and the structural equation modeling technique was used to evaluate hypotheses. The major results of this study are as follows. First, the ease of use, hedonic value, and utilitarian value positively influenced the satisfaction, and the satisfaction had positive influences on the customer loyalty. But the interaction didn't have positive influence on the satisfaction. Second, gender difference was found for some path coefficient. Male user's interaction and ease of use has effect on the satisfaction, and Female user's hedonic value and utilitarian value have influenced the satisfaction. When it consider the market share or the growth potential of the mobile learning industry, the results of this study will provide the useful information to manage mobile learning.

• 한국식품영양학회지
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• 제31권1호
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• pp.173-184
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• 2018

This research was conducted to examine coffee shop customers' preference and satisfaction by different types of promotion. Research samples ware adults with experience of any form of coffee shop promotion (n=209). Descriptive statistics, Chi-square, t-test and one-way ANOVA were used to analyze the relations among variables. Results showed that 'free coupon' was the most preferred ones. SNS was the most frequently used search method for coffee shop coupon promotion information. The most preferred event promotion was 'freebies', and preference levels were significantly different by age and employment status. 'Barista experience' was ranked highest in preference among cultural experience events. Drinking coffee was the most important purpose of visiting coffee shops, especially among unemployed, twenties, and women respondents. Coupon was evaluated the highest in usefulness and satisfaction among the three promotion methods. Event and cultural experience were preferred more by respondents in their twenties than those in their thirties. Results indicated that all promotion strategies are effective for increasing customer satisfaction and for inducing revisit. Findings also showed that preference for promotion was affected by customer characteristics such as age and gender. Therefore, coffee shops should consider using the most effective and attractive promotion strategy for their target market, while maintaining a consistent service quality level to fulfill customer expectation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.3030-3049
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• 2023

With the development and wide application of hybrid network computing modes like cloud computing, edge computing and fog computing, the customer service requests and the collaborative optimization of various computing resources face huge challenges. Considering the characteristics of network environment resources, the optimized deployment of service resources is a feasible solution. So, in this paper, the optimal goals for deploying service resources are customer experience and service cost. The focus is on the system impact of deploying services on load, fault tolerance, service cost, and quality of service (QoS). Therefore, the alternate node filtering algorithm (ANF) and the adjustment factor of cost matrix are proposed in this paper to enhance the system service performance without changing the minimum total service cost, and corresponding theoretical proof has been provided. In addition, for improving the fault tolerance of system, the alternate node preference factor and algorithm (ANP) are presented, which can effectively reduce the probability of data copy loss, based on which an improved cost-efficient replica deployment strategy named ICERD is given. Finally, by simulating the random occurrence of cloud node failures in the experiments and comparing the ICERD strategy with representative strategies, it has been validated that the ICERD strategy proposed in this paper not only effectively reduces customer access latency, meets customers' QoS requests, and improves system service quality, but also maintains the load balancing of the entire system, reduces service cost, enhances system fault tolerance, which further confirm the effectiveness and reliability of the ICERD strategy.

• 한국산학기술학회논문지
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• 제7권6호
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• pp.1356-1363
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• 2006

본 연구의 목적은 모바일 정보통신 시장에 있어서, 이에 관련한 공급자가 어떻게 성공적으로 기업을 관리함으로써 고객 충성도를 증대시킬 것인가에 대한 것이다. 이러한 목적을 달성하기 위하여 본 연구는 우즈베키스탄의 모바일 정보통신 시장을 사례분석 함으로써 외국의 경우를 고찰하고자 하였다. 본 소고에서는 우선적으로 CRM의 영향력과 제반 요인들이 CRM 시스템을 통하여 고객 이해력에 의한 충성도를 제고시킬 것인가를 분석 검토 하고자 하였다. 고객의 욕구와 고객 만족, 고객 충성도의 관련성들이 어떻게 기업의 수익성과 연계되어 발생하는가는 여러 가지 복잡한 방법들과 관련되어 있는 것으로 나타났다. 본 연구의 특징은 외국의 사례를 중심으로 고객만족과 고객충성도의 관련 속에서 분리한 경우와 결합한 경우의 특성들로 각각 분석 고찰 한 점이다.

• 한국경영과학회지
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• 제33권3호
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• pp.59-76
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• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.

• 한국병원경영학회지
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• 제8권4호
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• pp.26-58
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• 2003

This research first finds out the resources, activities, and effectiveness of quality management effort and the resulting customer satisfaction when the total quality management is lacking in most Korean medical agencies today. Then, it analyzes the relationship among the factors mentioned earlier. This paper utilizes actual data and presents a theoretical model which explains that the resources of quality management affect the activities and that the fruit of the quality management effort benefits the customers in the end. In addition, this study conducts a corroborative analysis through executing a survey, getting a descriptive statistical result on the subjects' characteristics and the research variables using SPSS 9.0 WIN PROGRAM, and the model is approved through analyzing its make-up using LISREL 8.12 WIN PROGRAM. The study's finding is the following: First, the management leadership affects the worker's, educational training, the quality of medical service, and the survey of customer satisfaction positively. However, it does not affect the quality of work positively. Second, the internal customer satisfaction affects the worker's participation, educational training, the quality of medical service, and the survey of customer satisfaction positively. Third, the quality of medical service and the survey of customer satisfaction affects the result of quality management positively, but the worker's participation, educational training, and the quality of work do not affect the result of quality management positively. Fourth, the management leadership does not appear to affect the result of quality management positively. Fifth, the internal quality management appears to affect the result of quality management positively. Sixth, the external customer satisfaction appears to affect the result of quality management positively. In conclusion, the findings in this study indicate that medical agencies need to utilize the active variables of quality management in order to successfully establish a total quality management.

• 한국병원경영학회지
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• 제23권3호
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• pp.87-103
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• 2018

Purpose: This study investigates the best appointment pattern which can enhance customer's satisfaction and hospital's efficient management reflecting plastic surgery clinic's service characteristics. Methodology: The data of this study is obtained from Plastic surgery Clinic which is located in the civic center. By collecting and analyzing the data, we build the simulation model using ARENA. Based on 5 appointment patterns that was suggested in formal appointment scheduling studies, we experiment 3 simulation models; 'Basic Appointment Pattern' that has no restriction, 'Restriction on Second Customer' that restricts the number of second customer's in each slot, 'Restriction on Process Time' that restricts the number of second customer who has long process time in each slot. We can check robustness of the appointment patterns by experimenting on off-peak day and peak day, during peak season. Findings: This study confirms that these 2 restrictions can give a better result than 'Basic Appointment Pattern' that just simply distributes customers by number. Especially, the performance of Triangle-like pattern which is the best appointment pattern in the formal study has been improved by adding restrictions. Based on 'DET', 'Restriction on Second Customer' shows a better result. Meanwhile, based on 'E(WT)', 'Restriction on Process Time' shows a better result. Overall, based on 'DET+E(WT)', 'Restriction on Second Customer' shows a better result. Practical Implications: The purpose of each hospital may alter as demand for plastic surgery grows increasingly. Thus, each hospital should be always prepared to introduce appointment pattern for changed purpose. In order to respond flexibly to these changes, it is necessary for medical personnel to improve the awareness or for hospital to create an environment by constructing appointment program so that medical personnel does not need to put more labor on work.