• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.911-914
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• 2012

For competitiveness of national B2C (Business to Customer) service industry, improvement of process and analysis focused on customer and change of service system are needed. To achieve this goal, accurate feedbacks from customers play an important role; however, there is no quantitative and standard system in Korea. The medical tourism industry is taking center stage as a high value added industry among many other B2C service industries. In this paper, we suggest an evaluation model for customer satisfaction measurement about medical tourism industry and the application system on smartphone for that.

• The Journal of Society for e-Business Studies
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• v.19 no.1
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• pp.1-14
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• 2014

This paper presents the development of a stock control system of POP system design based on RFID in SCM and its economic efficiency. A stock control system is proposed for 900MHz passive type RFID system. The RFID system is composed of a RFID reader and four antennas to read the tag IDs. A cost estimation model is adapted based on the total product profit by various tag prices. The result of the economic efficiency analysis can indicate any invested model for the automation system which have initial investment should be used. This solution indicates the limit of the break even point according to the input. And it can be concluded that the stock control can be developed by RFID readers and passive tags with directional arrangement of several antennas. Also, the economical evaluation model can be a decision method for company to adapt the new developed system.

• Journal of the Korea Safety Management & Science
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• v.8 no.4
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• pp.151-166
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• 2006

One of The standard issue in riding on the wave of the information system(IS) is records of performance, grow unprecedently fast, and has highly uncertain future. Within the framework of IS Evaluation, The main purpose of this study is to suggest performance quality evaluation system as follows, The Integrated Quality Evaluation Model Design(IQEMD) of Information System helps corporations to improve productivity, customer service and corporate competitive power. To respond flexibly this trend, we have to realize that the information system has to keep the most effective optimal information network at the proper time. The existing evaluation method has been concentrated on the evaluation of a degree of the information system maturity focused on static viewpoints. The evaluation of potential factors to affect the future-oriented performance, that can analyze both unit business being able to apply an information system base was used efficiently well and what performance evaluation item was obtained actually, was insufficient relatively. In this paper, An integrated quality evaluation method will analyze a degree of information system maturity in dynamic evaluation viewpoints rather than in static evaluation viewpoints. finally we estimated the relative degree of importance of each determinant using the AHP methodology The validity of the proposed model was also partially proved using two different methods, holistic and historical approach.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.441-446
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• 2013

It is expected to change for convergence robotic services according to emergence new communication technologies and cloud computing, etc. Robot industry is evaluated the biggest filed that is possibility to convergence of new IT technology. This paper presents a design framework for robot industry business model on cloud services through the cloud computing and environment of robot industry, features and provide valuable of cloud-based robot service, analysis of customer needs and value chain in the market in an aging society. In addition, we describe the evolution path of the proposed business model in terms of technology development and market. This study is expected to help that cloud and robot services companies when establishing new service model development and marketing strategy.

• International Journal of Quality Innovation
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• v.4 no.2
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• pp.101-122
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• 2003

With the development of the American Customer satisfaction index (ACSI), research on customer satisfaction measurement or evaluation methods have become significant in the last decade. Most of international customer satisfaction barometers or indices are evolved based on the cause and effect relationship model of ACSI. Of critical importance to validity of customer satisfaction indices is how to construct a measurement attribute or indicator model and provide an effective implementation method effectively. Quality Function Deployment (QFD) is a very useful tool for translating the customer voice into product design through quality engineering. In fact, this is a methodology for measuring and analyzing evaluation indicators by their relationship matrix. In this paper, we will make an effort to integrate the framework of QFD into the measurement problem of customer satisfaction, and also develop a new multi-phase QFD model for evaluation of Customer Satisfaction Index (CSI). From the houses of quality in this model, the evaluation indicators impacting on customer's global satisfaction are identified by means of their relationship matrix. Then the evaluation indicator hierarchy and its measurement method for the customer satisfaction index are presented graphically. Furthermore, survey data from the Chinese automobile maintenance sector and a relevant case study are utilized to show the implementation method of the QFD model used to measure and analyze of customer satisfaction.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.209-225
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• 2022

Purpose - The domestic technology trading market is composed of a technology trading platform with the participation of technology trading institutions. The institution that operates the technology trading platform provides various support for technology transaction. The purpose of this study is to suggest improvement plans through analysis of the services provided by the technology trading platform. Design/methodology/approach - TA model was built based on existing research and the importance and satisfaction of each evaluation item of the model were identified through the hierarchical analysis process and expert opinion gathering. Then importance-satisfaction correlation analysis was applied. Findings - As a result of analyzing the importance of the technology trading platform, supply technology information, technology value evaluation, and demand technology information are in order. Technology marketing and demand technology information are areas that require focus management and there are differences according to experience and low-skilled people suggest the need to improve technology value evaluation service. Research implications or Originality - This study is significant in that it evaluated the operational performance of a technology trading platform that had not been addressed for 15 years and suggested improvement measures. Initially a series of technology transaction processes such as technology value evaluation technology matching and technology commercialization support were expanded from simple information on previous technology and this study includes these changes.

• Korea Trade Review
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• v.47 no.3
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• pp.111-128
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• 2022

This study tried to verify the effect of situational consumer animosity on consumer attitudes and behaviors with the moderating effect of cultural internalization. For this purpose, 460 valid survey data were collected from Koreans. The causal and regulatory relationships between the variables were analyzed through confirmatory factor analysis and structural model analysis using AMOS with the collected data. It was confirmed that the national situational animosity had a negative effect on quality evaluation, while personal situational animosity did not. Also, the positive relationship between quality evaluation and purchase intention was confirmed. In addition, it was found that internalization of individual culture moderates the effect of quality evaluation on purchase intention.

• 한국IT서비스학회:학술대회논문집
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• 2009.05a
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• pp.3-7
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• 2009

최근 우리 사회는 유비쿼터스 컴퓨팅 기술의 발전과 지자체별 u-City 건설 붐에 힘입어 도시민의 삶의 질 개선과, 도시관리 기능의 효율화를 위한 차세대 서비스 사업이 활발히 전개되고 있다. 반면 유비쿼터스 사회에서의 기술 수명주기의 단축과 시장의 급변은 사업 전개에 있어 커다란 부담으로 작용하고 있어 사업 계획 단계에서부터 사업의 타당성에 대한 충분한 고려가 필요하다. 본 논문은 과거의 전통적인 Business로부터 u-Business로의 진화과정을 살펴보고 기술의 발전과 가치의 변화에 따른 u-Business의 성공요인과 u-City 사업의 특징 분석을 바탕으로 u-City 사업 계획 단계에서 적용 가능한 u-City Business Model의 사업타당성 평가지표를 도출하고자 한다.

• Journal of the Korea Safety Management & Science
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• v.9 no.5
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• pp.147-156
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• 2007

With the radical change of business environment, all service companies' employees are forced to provide many customers with high service quality every day, and the extra role(or organizational citizenship behavior) is more imperative than other industry. The purpose of this paper is to introduce Luthans & Kreitner's Organizational Behavior Modification(OB Mod) model to improve organizational citizenship behavior and service quality. With analyzing the relationships among target behavior(service quality), antecedents(OCB), and consequences(customer satisfaction), this paper reviewed OB Mod's 5 stages; identifying, measuring, functional analysis of the behavior, development of an intervention strategy, evaluation. This model has found to be useful in finding and improving troublesome employee behaviors in USA, but not been verified in Korea. Thus it is recommended to review the difference of organizational culture and practices before introducing the model.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.1
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• pp.109-116
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• 2001

The detection of corporate failures is a subject that has been particularly amenable to cross-sectional financial ratio analysis. In most of firms, however, the financial data are available over past years. Because of this, a model utilizing these longitudinal data could provide useful information on the prediction of bankruptcy. To correctly reflect the longitudinal and firm-specific data, the generalized linear model with assuming the first order AR(autoregressive) process is proposed. The method is motivated by the clinical research that several characteristics are measured repeatedly from individual over the time. The model is compared with several other predictive models to evaluate the performance. By using the financial data from manufacturing corporations in the Korea Stock Exchange (KSE) list, we will discuss some experiences learned from the procedure of sampling scheme, variable transformation, imputation, variable selection, and model evaluation. Finally, implications of the model with repeated measurement and future direction of research will be discussed.