• Asia pacific journal of information systems
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• v.12 no.3
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• pp.169-189
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• 2002

In this study, we newly classify services and service products in EC into Mass Service, Interactive Service, Ordering Service, and Professional Service. For classification, five selected variables and two factorized dimensions such as 1) ease of on-line interaction and 2) needs of on-line interactions are used. On the result of classification, we investigate the relationships with customer purchase intentions in EC. For this purpose, customer surveys were conducted on the respondent groups who are known to be frequent purchasers in EC and have advanced knowledge on services and service products. The survey is analyzed by statistical methods such as factor score plot, cluster analysis, analysis of variance, etc.

• The Journal of Information Systems
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• v.14 no.3
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• pp.9-16
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• 2005

In this paper, the performance of the WebService architecture for QoS guaranteed connection provisioning in inter-AS domain networks has been measured and analyzed for service publish/inquiry, collection of NMSs ASBR details, source routing by ingress NMS in constraint based routing and connection establishment. From the analysis, it has been found that, the connection between inter-AS domain networks can be established within the usual time limits of 3 seconds by the Web Service architecture. Since no standard solutions have been implemented in Interdomain QoS provisioning, this performance analysis assures Web Service architecture as a promising solution and can be easily implemented in the early stages of MPLS network employment.

• Journal of Korean Elementary Science Education
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• v.30 no.3
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• pp.367-378
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• 2011

After pre-service teachers become teachers, traditional patterns of classroom discourse which they had experienced as students affect their classroom discourse implicitly. For this reason, it is needed to get a new insight for evaluating and reflecting a teacher's classroom discourse. In this study, I analyzed the information flow of science classes of pre-service elementary school teachers. The finding showed that teachers' organizational skills for students' information made advanced science classes by maintaining discourse cohesions. And the findings also showed a way how to analyze, evaluate or reflect science classroom discourse. This trial could contribute to find out the characteristics of teachers' science classroom discourse and show the directions to them how to change their classes beyond impressionable evaluations for their science classes.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.195-201
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• 2018

This study is attempted to demonstrate the structure of the influencing factors on the performance of services of knowledge based service firms. In the model presented, the structure is that service performance in knowledge-based services are affected by the strategic utilization of knowledge resources and service orientation factors of the service organization. And the service performance are also affected in which the systemization of service processes and customer satisfaction play a mediating role. As an analysis result of examining 148 practitioners engaged in the knowledge service industry, it is necessary to increase the satisfaction of external customers in order to improve service performance in a knowledge-based service organizations. This can be achieved by increasing the satisfaction of internal customers. In addition, for this structure to be successful, the service production process to be provided to the customer must be enhanced. The service production process has been found to be an important factor influencing the internal customer satisfaction and service delivery process, especially in the use of knowledge resource, and customer oriented service among service orientation factors.

• Journal of Information Technology Applications and Management
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• v.29 no.3
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• pp.57-74
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• 2022

Recently, big data services have been used in various fields. In this situation, this research studied the intention to provide personal information from users, which is necessary to provide useful big data services. A survey was conducted on college students and ordinary people who have understood big data services. And path analysis was performed through Amos' structural equation. As a result of the study, it was found that privacy risks, trust in service providers, individual innovativeness, service incentives, social influence, and service design are major variables influencing the intention to provide personal information. And it was found that trust in service providers plays a mediating role in influencing the intention to provide personal information. In addition, big data services were classified into types for information acquisition and types related to purchase. Accordingly, it was further analyzed whether major variables differ in the path affecting the intention to provide personal information, and new implications were found. Companies that actually develop and provide big data services should establish different strategies by reflecting research results depending on the type of big data service provided.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.3B
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• pp.114-129
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• 2005

In this paper, we examine Interleaved Polling with Adaptive Cycle Time (IPACT) algorithm which was proposed to control upstream traffic for Gigabit Ethernet-PONs, and we analyze the performance of the gated service and the limited service of the IPACT mathematically. For the mathematical performance analysis, we model IPACT algorithm as a polling system and use mean-value analysis. We divide arrival rate λ value into three regions and analyze each region accordingly. We obtain average packet delay, average queue size and average cycle time of both the gated and the limited service. We compare analytical results with simulation to verify the accuracy of the mathematical analysis. Upon now, simulation analysis have been used to evaluate the performance of EPONs, which require much time sud effort. Mathematical analysis can be widely used in the design of EPON systems since system designers can obtain various performance results rapidly.

• Journal of the Korean Dietetic Association
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• v.7 no.4
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• pp.397-409
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• 2001

The purposes of this study were to identify customer expectation, perception and satisfaction of foodservice quality to analyze the influencing factors on foodservice quality and finally to provide basic information for the improvement of foodservice quality. A survey of 4 factory foodservices was undertaken and detailed information was collected from 675 respondents. Statistical data analysis was completed using the SPSS package program for descriptive analysis, t-test and one-way ANOVA. Male had higher scores than female in perceptions of foods and services, and the differences were statistically significant. As analysis of expectation, perception and satisfaction result of age, expectation and perception were statistically significant, and mostly expectation and perception increased according as age increased. Expectation and perception showed statistical differences by marital status. Married people had higher scores in expectation and perception of food and service than single. According to family type, respondents living alone showed lower scores in expectation and perception of food and service than those living with family or relatives. Conversely, living alone had high expectation on service. As analysis of work type, office workers showed higher scores of service expectation, food and service perception than production workers. As education level increased, food and service expectation and perception increased mostly. As analysis of work post, food and service expectation and perception increased as work post raised. Meanwhile, married people had higher scores in service quality of satisfaction than single. Result of the study can be summarized as follows the analysis of expectation, perception and satisfaction of foodservice quality, the Quadrant of food and service quality expectation and perception according to demographic variables. Expectation, perception and satisfaction scores of foodservice attributes according to work type. The distribution of attributes with satisfyingly significant difference in grid.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.497-507
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• 2013

According to increasing smartphone users, Public mobile services is expanding across all areas, including education. We have to prepare NEIS(National Education Information System) student and parent service based on smartphone that provide information about student's school life for the smartphone users. Therefore, in this paper, we conducted an online questionnaire survey for student and parent. User's perception for existing services were analyzed by factors of content availability, service utilization, and user affinity. Reliability analysis of the collected data, the results of correlation analysis, and multiple regression analysis were found reliable. The user affinity factor have the most significant impact on user satisfaction and intention to user smartphone service. Consequently, the study stresses a measure of NEIS student and parent service based on smartphone and public education information service through the perception analysis of these.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.151-159
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• 2014

Recently, spread of large amount Smartphones made users to download location-based service applications, which provided by application developers. These location-based service applications are convenient tool for users. Location-based service use technology to find location of user and provide information of user's location. Leakage of information of user's location and expose of privacy life raised new controversy. In this thesis, it will analyze relations of increase of Smartphone market, usage of Location-based service and severity of personal information leakage. Also, it will analyze examples of user's case of damage which caused by leakage personal information and find solutions to reduce damage of personal information leakage. In research, it will find cases of damage that cause by Location-based service. Also it will analyze and research cases of damage and present with graph and chart. In conclusion, to reduce and prevent from damage which caused by leakage personal information, it is important that users and application developers to realize danger of private and personal information leakage. Also, user's personal information must deal with cautiously and application developers have to research and develop the application with powerful security.

• Journal of the Korean Data and Information Science Society
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• v.17 no.2
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• pp.279-289
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• 2006

This paper concerns with the effects of the specialized projected for the local W university on education which was planned and conducted in October 2004. From the empirical study using the correlation analysis, regression analysis, and structured equation model, we found some results that educational service satisfaction was highly correlated with general instruction factor and hard ware factor less correlated. Also we investigated that university educational service satisfaction was deeply correlated with word of mouth.