• 가족자원경영과 정책
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• 제1권1호
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• pp.57-70
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• 1997

The purpose of this study is to analyze housewives’ cognition, usage, and management behavior of credit cards according to home management behavior pattern. The sample of this study was selected from the housewives’ living in Seoul who has credit cards. After class-analyzation of the sample, 523 out of 612 repondents were finally selected data. The data were analyzed by the statical methods such as frequency, mean, percentile, Factor Analysis, t-test, ANOVA, Duncan’s multiple range test, Person’s Correlation, and Multiple Regression Analysis through the SAS program package. The major findings of this study are as followers : First, housewives’ usage and management behavior of credit cards was a positive relationship between home management behavior pattern. Second, housewives’ cognition of credit cards showed a significant positive relationship with usage and management behavior of credit card. Third, the most influencial variables on housewives’usage and management behavior of credit cards were their value and home management behavior pattern.

• 산업경영시스템학회지
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• 제24권64호
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• pp.29-38
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• 2001

Most warranty studies assume that the usage intensity is the same for all buyers. However, in real life the usage intensity varies across the population of buyers. In the general case, one can divide the population into $\kappa$ categories. This has implications for manufacturers of products. Should a manufacturer produce one product and offer different warranties for the $\kappa$ groups or produce different products (one for each group) and offer the same warranty. A warranty cost analysis is needed to choose between these options. The analysis complicated by factors such as adverse selection , buyers attitude to risk and the price structure. In this paper we develop models to study the expected warranty cost for products with free replacement warranty with varying usage intensity. Numerical examples are presented.

• 복식문화연구
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• 제24권6호
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• pp.803-816
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• 2016

The purposes of this study were to investigate the influences of channel assessments on the usage of multi-channels by product types, and the differences in the usage of multi-channels among product types in buying decision making process for fashion products. Data were collected from 510 consumers in their 20s to 50s with purchasing experiences through multi-channel distribution system and living in Seoul and Kyunggi province; 491 were analyzed after deleting incomplete questionnaires. Factor analysis, multiple regression analysis and one-way ANOVA were used for statistical analysis by using SPSS 18.0. The results were as follows: 5 factors were extracted for channel assessment: utility, accuracy, risk, price benefit and sharing information. Price benefits, utility and sharing information for online channel tended to influence positively on the usage of online channel and online+offline channels. Accuracy and low perceived risk of offline influenced positively on offline and on+offline channel usages. The usage levels of on-line and off-line channels for cosmetics were significantly lower than the usage levels for clothes and accessories on information search, evaluation of alternatives, and purchase stages. Significant differences were also found in the usage levels of multi-channels (on+off-line) on information search and evaluation of alternatives stages. The usage levels of the multi-channels for clothes were the highest followed by those of accessories and cosmetics in order.

• 디지털콘텐츠학회 논문지
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• 제17권5호
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• pp.417-423
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• 2016

최근 미디어의 발달과 휴대폰의 보급률의 증가로 인해 전 연령대에 걸쳐 스마트폰 보급이 빠르게 확산되었다. 한국 고등학생의 경우 스마트폰의 보유율이 90.2%로 나타난다. 본 연구에서는 수도권 고등학생을 대상으로 스마트폰 이용 행태에 관한 사전조사를 실시하였으며, 실질적인 사용 행태를 알아보기 위해 3개월간 로그 데이터 분석을 진행하였다. 피험자들의 사전조사 결과와 로그 데이터 결과를 통해 스마트폰 이용시간과 주중과 주말의 일일 평균 어플리케이션 이용 횟수를 비교하였다. 또한 시험기간과 시험시간 전후의 어플리케이션 이용 횟수 변화를 비교하였다. 그 결과 수도권 고등학생들의 스마트폰 사용행태는 주중과 주말에 영향을 받지 않고, 시험기간에 영향 받음을 알 수 있었다.

• 산업기술연구
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• 제3권
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• pp.39-46
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• 1983

This paper presents a quantitative measure of the degree of part commonality and redundancy in a product line based on entropy measure of information theory. The several possible methods of analysis are discussed and the use of the entropy measure is discussed. These commonality and redundancy measure can be applied to analyze the usage pattern of part across a product line and to determine which parts have the broadest usage across the firm's product lines. An analysis of the results by entropy statistics is compared with the practical part usage in a simulation of several types of part usage's distributions.

• Journal of Information Technology Applications and Management
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• 제12권2호
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• pp.163-184
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• 2005

The purpose of this research is to examine the major determinants affecting the usage and performance of information technologies in Daedeok Valley and Zhongguancun venture firms. The development of the research model is based on the theoretical linkages of IDT (Innovation Diffusion Theory) and TAM(Technology Acceptance Model). Seven hypotheses are derived and tested using regression analysis. The results from regression analysis suggest that the usage of Information technologies is affected by innovation characteristics (perceived usefulness) as well as organizational characteristics (top management support, employee capability on information technology acceptance) in Daedeok Valley venture firms. But, The results from regression analysis suggest that the usage of Information technologies is affected by innovation characteristics (perceived usefulness), organizational characteristics (top management support, employee capability on information technology acceptance), and external pressure (environmental uncertainty, intensity of competition) in Zhongguancun venture firms.

• 한국산업정보학회논문지
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• 제15권5호
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• pp.63-69
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• 2010

게임접속 시간의 예측은 서버접속의 폭주와 렉 현상의 예측을 통한 게임서비스 향상과 게임 매출의 예측에 매우 중요한 정보를 제공한다. 본 논문에서는 대표적 온라인 게임인 "아이온"과 "서든어택"의 2009년 PC방 접속시간 자료를 대상으로 다양한 시계열 분석 방법을 적용하여 접속시간 예측을 실험하였다. 실험결과 평균 게임접속시간의 예측에는 분해법이 실제 접속시간 데이터와 가장 유사한 결과를 보였다.

• Asia pacific journal of information systems
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• 제33권4호
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• pp.934-956
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• 2023

This study focuses on the adoption of Healthcare Information System (HIS) in India's healthcare services, which has led to an increased use of HIS software for managing patient information in hospitals. The study aims to evaluate the factors that influence hospital workers' satisfaction with HIS usage and its impact on their intention to continue in the use of HIS. Primary data was collected through a survey questionnaire from 265 hospital workers. A new framework was developed, and Structural Equation Modeling (SEM) was used for analysis. Sensitivity analysis was also conducted on demographic data using an Artificial Neural Network (ANN) approach. The results indicated that all hypotheses were significant (p < 0.05). Effort expectancy was the most significant factor influencing hospital workers' satisfaction (p < 0.01). Sensitivity analysis showed that education (Model-A) and experience in use of HIS (Model-B) were the most important factors. The study contributes by proposing a new theoretical framework and extending the previous research on HIS usage satisfaction. Overall, the study highlights the importance of easiness and usefulness in predicting HIS usage satisfaction.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 추계학술발표대회
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• pp.1136-1138
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• 2014

Recently, predicting personality with the help of smartphone usage is become very interesting and attention grabbing topic in the field of research. At present there are some approaches towards detecting a user's personality which uses the smartphones usage data, such as call detail records (CDRs), the usage of short message services (SMSs) and the usage of social networking services application. In this paper, we focus on the predicting user attitude based on MBTI theory by using their smartphone usage data. We used Naïve Bayes and SVM classifier for classifying user personalities by extracting some features from smartphone usage data. From analysis it is observed that, SVM classifier works well as compared to Naïve Bayes.

• Asia pacific journal of information systems
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• 제11권3호
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• pp.105-126
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• 2001

The objective of research is to find out exogenous variables that influence the usage and performance EDI in the Korea firms. Specifically the goals of this research are; (1) to examine relationships between exogenous variables, such as management, technology, inter-firm relationship characteristics, and EDI performance, and (2) to measure EDI volume, EDI diversity, EDI depth among Korea firms. The questionnaire consists of two versions; One for the EDI system managers and the other for the EDI users. The analysis of this study is designed as cross level to examine the causal relationship among variables in different analysis level. The reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that education level, IS growth, trust, support, power are major influential variables on the usage level and performance of EDI. Especially, persuasive power turned out to be more important than coercive power, and technical financial support from organizations was also found to be a significant variables.