• 융합경영연구
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• 제6권1호
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• pp.9-16
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• 2018

Purpose - Benefit delay type services have a characteristic of benefit delay that does not immediately appear at the time of delivery of service. Due to a characteristic of benefit delay, the customer's participation in the service delivery system is hindered, and the quality of service declines. As a result, customer satisfaction would be reduced. The purpose of this study is to construct an analytical framework to analyze a mechanism that promotes customer participation in benefit delay type services. Research design, data, and Methodology - Existing research has considered only the performance of service companies to enhance the quality of service and customer satisfaction. This study focused on customer participation as a factor affecting the quality of service and customer satisfaction and attempted to construct an analytical framework based on a theoretical perspective of motivational research. Results - By adopting the motivation theory, this research derived three concepts, the possibility of gaining benefits, the emotional experience, and the desire of benefit. And motivation is created when the three factors interact with each other. Conclusions - This paper has constructed an analytical framework for analyzing factors that promote customer participation in the benefit delay service and finally has proposed case study for further research.

• 정보관리연구
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• 제43권3호
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• pp.97-115
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• 2012

해양관측데이터의 관리와 서비스를 위한 결정요소를 두 가지 측면에서 도출하였다. 1) 해양관측데이터가 생성되는 관측의 유형들과 해양과학의 기본적 구분인 해양물리, 해양화학, 해양생물, 해양지질 분야에서 생산된 대표적인 유형의 샘플 데이터를 분석하였다. 2) 국내에서 서비스되고 있는 해양관측데이터 서비스(KODC, NFRDI, KHOA)를 조사하여 검색에 사용되는 검색요소를 분석하였다. 분석결과 9개 영역(일반, 관측선, 위성, 관측기기, 관측소, 공간정보, 프로젝트, 관측데이터, 자료처리)에서 42개 결정요소를 도출하였다.

• 지식경영연구
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• 제19권1호
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• pp.119-132
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• 2018

Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

• 한국정보통신학회논문지
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• 제14권8호
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• pp.1799-1808
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• 2010

최근 증가하는 협업 연구는 원격 의료 데이터 공유 및 외부 기관의 데이터 접근을 요구하고 있다. 본 논문에서는 융통성 있고 효율적인 의료 데이터 관리를 위해 웹서비스를 이용하여 그리드와 PACS 간의 상호운용성 프레임워크를 제안하고 구현하였다. DICOM 표준은 PACS와 이미지 데이터베이스 사이에 의료 이미지 데이터의 교환과 전송을 정의한다. 그러나 병원들 간 의료 데이터 교환은 신뢰할 수 있는 기관들 사이에서만 제공된다. 더군다나 DICOM은 의료 데이터 관리 기능을 제공하지 않고 그리드 미들웨어는 DICOM 데이터에 접근 가능한 표준 툴킷을 제공하고 있지 않고 있다. 본 논문에서는 이러한 문제를 해결하기 위하여 PACS 간의 연동과 의료 데이터 관리를 가능하게 하는 웹 서비스기반의 그리드 서비스 중계자(Web Services-based Grid Service Mediator, WGSM)를 개발하였다. WGSM은 압축 중계자, GridFTP 중계자, RFT 중계자, MyProxy 중계자, MDS 중계자, RLS 중계자 등으로 구성된다. 제안한 웹서비스 기반의 프레임워크는 협업 환경에서 PACS 간 사용자 인증 및 안전한 데이터 접근을 제공한다. 특히, WGSM은 일반 사용자들이 그리드 미들웨어에 대한 어떠한 지식이 없어도 간단하고 효율적인 방법으로 원격 PACS를 접근할 수 있게 한다.

• 산업경영시스템학회지
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• 제39권2호
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• pp.150-160
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• 2016

The quality of service in ERP services is a key issue in innovating the ERP performance as an IT service for corporations. Currently, most of the research works for this area are based on the existing quality models such as SERVQUAL, which are said not to measure service quality properly. Also, it does not consider the factor of the system acceptance, which is thought to be closely related to the quality of service in this type of IT services. Therefore, a research model is required, which can address the issues related to the ERP service quality measurements. In this paper, new research models have been proposed, and empirical data obtained from SME's ERP users have been applied to the proposed model to analyze the causal relationship between quality factors and to identify the most suitable quality measures. Also, the relationship between the service quality and the system acceptance was analyzed using a combined model. The results show that factors such as productivity and convenience affects the quality mostly and that the most appropriate measure for the service quality of ERP service is satisfaction. Also, for the system acceptance, the ease-of-use is the main factor. And, the service quality and system acceptance shows a strong correlation. This means that, in order to enhance the quality of ERP services, the service provider needs to provide customers with productivity-enhanced user-friendly IT services and active product support. The work of this research can help to improve the service quality and the user acceptance of ERP services and to lead further research works in this area.

• 한국생활과학회지
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• 제6권2호
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• pp.1-14
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• 1997

The purpose of this study was to find out middle age women's needs of the educare services. Furthermore this study was done to serve as the basic data for guidance and the preparation of effective educare services. For these purposes, the data were collected by using questionnare from to 305 middle age women living in T city. The data were analyzed by frequency, percentile, chi square analysis. The major findings of this research are as follows: 1. Most subjects of present study needs for the daycare center. Furthermore there were significant differences in the daycare management, caring agent, day care cost according to the school career. 2. They wantd nere home daycare center and part time daycare center. And there were no significant differences in general enviroment of daycare center according to the school career. 3. There were significant differences in 1)the standards of selection for teacher 2)teacher's educational level, 3)teacher's age according to the school level. And they wanted 'low school career but caring experiences' daycare teacher.

• 아태비즈니스연구
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• 제15권2호
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• pp.107-123
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• 2024

Purpose - This study aims to analyze the relationship between perceived risk, privacy concerns, continual intention to use of Fintech services. Design/methodology/approach - This research developed a conceptual framework using attitude theory and analyzed the relationship between risk perception to Fintech services, Fintech concerns(service concern, platform concern, network concern, device concern, and privacy concern), and continual use in the context of Fintech services. In this study, Data analyzed using the PLS(partial least squares) structural equation model approach. Findings - As a result of empirical analysis, Fintech risk perception affected service concern, platform concern, network concern, device concern, and privacy concern. In addition, it was found that privacy risk did not affect continual use of Fintech services. In addition, among Fintech service concerns, platform concern, network concern, and privacy concern did not affect continual use of Fintech services. However, only device concern affected the intention to continual use of Fintech services. Research implications or Originality - The results will help to understand the psychology of Fintech service users and develop more stable Fintech services continual use strategies.

• Management Science and Financial Engineering
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• 제11권3호
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• pp.19-45
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• 2005

Collaborative filtering is one of the most common methods that e-commerce sites and Internet information services use to personalize recommendations. Collaborative filtering has the advantage of being able to use even sparse evaluation data to predict preference scores for new products. To date, however, no in-depth investigation has been conducted on how the data sparsity effect in customers' evaluation data affects collaborative filtering-based recommendation performance. In this study, we analyzed the sparsity effect and used a hybrid method based on customers' evaluations and purchases collected from an online bookstore. Results indicated that recommendation performance decreased monotonically as sparsity increased, and that performance was more sensitive to sparsity in evaluation data rather than in purchase data. Results also indicated that the hybrid use of two different types of data (customers' evaluations and purchases) helped to improve the recommendation performance when evaluation data were highly sparse.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.440-444
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• 2015

As domestic construction investment has been gradually reduced, expanding overseas construction is one of the most important issues for Korean construction companies. Among these issues, strategies for overseas CM services have widely been discussed, because the CM services have features of high growth potential and value-added area when compared with other construction sectors. Therefore, recent efforts focus on further development in advanced CM capabilities and expansion to overseas market. However, there has been lack of quantitative research to investigate current status and future direction of CM industry. In this sense, this research investigated what CM has achieved for the past 17years (between 1997 and 2013) and what CM should accomplish for future strategies. The purpose of this research is to statistically analyze total of 2,983 CM service contracts over the past 17 years published in KISCON (Knowledge Information System of Construction Industry) in order to examine current status of CM industry in terms of market type, contract size, commodity type, and owner's type. Based on this research, it is expected to suggest for future strategies and development directions from the CM industry perspective that could provide quantitative analyses, improve current CM statistics systems and strengthen the competitiveness in international CM market.

• 대한산업공학회지
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• 제41권5호
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• pp.499-510
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• 2015

The purpose of this research is to identify new service opportunities for enhancing driving safety of intra-city buses based on driving behavior analysis. Service opportunity identification involves finding target customers of service (to whom), motivations for service (why), service contents (what), and service delivery process (when, where). This paper presents an analysis of driving behaviors using the operational data of intra-city buses in conjunction with traffic accident data and drivers' driving history data. This paper also presents four identified service opportunities based on the data analysis results. This research would contribute to enhancing driving safety of intra-city buses in Korea and serve as a basis for developing new services for driving safety enhancement.