• Journal of Global Scholars of Marketing Science
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• v.6
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• pp.167-184
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• 2000

Previous models of consumer post-purchase evaluation behavior have treated customer satisfaction as a transaction-specific construct. In the present paper, a conceptual framework that describes customer satisfaction measurement as a process is developed. The framework explains customer satisfaction as a dynamic process encompassing five stages-search, interaction, experience, service, and longevity. It is proposed that organizations should develop information systems to measure customer satisfaction during all five of the stages and disseminate such information throughout the organization as part of their Total Quality Management efforts.

• The Korean Journal of Archival Studies
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• no.71
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• pp.237-272
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• 2022

In 2019, the pilot project to establish a record management system for administrative information datasets started in earnest under the leadership of the National Archives. Based on the results of the three-year project by 2021, the improved administrative information dataset management plan will be reflected in public records-related laws and guidelines. Through this, the administrative information dataset becomes the target of full-scale public record management. Although public records have been converted to electronic documents and even the datasets of administrative information systems have been included in full-scale public records management, research on the quality requirements of data itself as raw data constituting records is still lacking. If data quality is not guaranteed, all four properties of records will be threatened in the dataset, which is a structure of data and an aggregate of records. Moreover, if the reliability of the quality of the data of the administrative information system built by reflecting the various needs of the working departments of the institution without considering the standards of the standard records management system is insufficient, the reliability of the public records itself can not be secured. This study is based on the administrative information dataset management plan presented in the "Administrative Information Dataset Recorded Information Service and Utilization Model Study" conducted by the National Archives of Korea in 2021. A study was conducted. By referring to various data, especially public data-related policies and guides, which are being promoted across the government, we would like to derive quality evaluation requirements in terms of records management and present specific indicators. Through this, it is expected that it will be helpful for record management of administrative information dataset which will be in full swing in the future.

• The Journal of Information Systems
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• v.20 no.4
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• pp.73-101
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• 2011

This study tried to find the source of the success of on-line game sites and the way how the absorption and the satisfaction would have the relationship with the intention-to-use of on-line game sites. The primary purpose of this study is to establish the empirical model on the determinants of on-line game sites. The research model of this study will have insights which are trigger to the higher dimensions on the model and to the importance of the evaluation criterions of game sites. The suggestions of the study are as follows. First, the precedent factors of research model were tested for the commonality with explorative factor analysis and then tried the confirmative factor analysis. Thus, the determinants in this model will be used for further study without an evaluation. Second, the factors which have a most significant effect on the mediating factor like the absorption are a skill of user and an activity of community. Furthermore, the information quality of game sites was most significant in the satisfaction of user. Third, the most factors which included in the research model were significant to intention-to-use, however, the system quality did negatively significant.

• Journal of the Korea Convergence Society
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• v.5 no.4
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• pp.21-25
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• 2014

Now, almost enterprise is applying data analysis method using the information systems on based information technology. The data analysis is focusing on the Quality of the data affecting the decision-making of various companies. This is the result of the data quality is due to the important role in the various parts as well as the effective operation of the enterprise. In this study, we describe about the data quality assessment models that are currently being studied. Based on this, we describe about the adaptive DQnA model being utilized for data quality analysis, and discuss about the quality analysis using this method.

• Industrial Engineering and Management Systems
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• v.7 no.2
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• pp.93-100
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• 2008

Quality function deployment (QFD) provides a specific approach for ensuring quality throughout each stage of the product development and production process. Since the focus of QFD is placed on the early stage of product development, the uncertainty in the input information of QFD is inevitable. If the uncertainty is neglected, the QFD analysis results are likely to be misleading. It is necessary to equip practitioners with a new QFD methodology that can model, analyze, and dampen the effects of the uncertainty and variability in a systematic manner. Robust QFD is an extended version of QFD methodology, which is robust to the uncertainty of the input information and the resulting variability of the QFD output. This paper discusses recent research issues in Robust QFD. The major issues are related with the determination of overall priority, robustness evaluation, robust prioritization, and web-based Robust QFD optimizer. Our recent research results on the issues are presented, and some of future research topics are suggested.

• Nuclear Engineering and Technology
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• v.49 no.3
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• pp.517-524
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• 2017

Cyber security is an important issue in the field of nuclear engineering because nuclear facilities use digital equipment and digital systems that can lead to serious hazards in the event of an accident. Regulatory agencies worldwide have announced guidelines for cyber security related to nuclear issues, including U.S. NRC Regulatory Guide 5.71. It is important to evaluate cyber security risk in accordance with these regulatory guides. In this study, we propose a cyber security risk evaluation model for nuclear instrumentation and control systems using a Bayesian network and event trees. As it is difficult to perform penetration tests on the systems, the evaluation model can inform research on cyber threats to cyber security systems for nuclear facilities through the use of prior and posterior information and backpropagation calculations. Furthermore, we suggest a methodology for the application of analytical results from the Bayesian network model to an event tree model, which is a probabilistic safety assessment method. The proposed method will provide insight into safety and cyber security risks.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.65-74
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• 2010

Most university has provided the information system that fit with their university peculiarity only, but there is not proper evaluation on the user satisfaction by that. In this study, first of all, it analysed which factors give satisfaction to the users when university operated the information systems and inquired the needed outcome variables in order to operate successful university information system. Through the inquisition of fitting supposition, we got something that organizational support and computer self efficacy which is personal factors were effected as an affirmative side to make a user satisfactions of information system. In more detail, organizational support and personal factors effected as an affirmative side to the quality of information system. And, so the quality of information system was influenced to user satisfaction that it raised the work result and increased the work products in organization through personal outcomes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.9
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• pp.2153-2169
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• 2012

Femtocells provide high quality indoor communications with low transmit power. However, when femtocells are applied in cellular systems, a co-channel interference problem between macrocells and femtocells occurs because femtocells use the same spectrum as do the macrocells. To solve the co-channel interference problem, a previous study suggested a resource allocation scheme in LTE cellular systems using FFR. However, this conventional resource allocation scheme still has interference problems between macrocells and femtocells near the boundary of the sub-areas. In this paper, we define an optimization problem for resource allocation to femtocells and propose a femtocell resource allocation scheme to solve the optimization problem and the interference problems of the conventional scheme. The evaluation of the proposed scheme is conducted by System Level Simulation while varying the simulation environments. The simulation results show that the proposed scheme is superior to the conventional scheme and that it improves the overall performance of cellular systems.

• Journal of Information Processing Systems
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• v.18 no.2
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• pp.223-234
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• 2022

The evaluation of the print quality of 3D printing has traditionally relied on manual work using dimensional measurements. However, the dimensional measurement method has an error value that depends on the person who measures it. Therefore, we propose the design of a new print quality measurement method that can be automatically measured using the field-of-view (FOV) model and the intersection over union (IoU) technique. First, the height information of the modeling is acquired from a camera; the output is measured by a sensor; and the images of the top and isometric views are acquired from the FOV model. The height information calculates the height ratio by calculating the percentage of modeling and output, and compares the 2D contour of the object on the image using the FOV model. The contour of the object is obtained from the image for 2D contour comparison and the IoU is calculated by comparing the areas of the contour regions. The accuracy of the automated measurement technique for determining, which derives the print quality value was calculated by averaging the IoU value corrected by the measurement error and the height ratio value.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4476-4491
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• 2021

Video service providers tend to face user network problems in the process of transmitting video streams. They strive to provide user with superior video quality in a limited bitrate environment. It is necessary to accurately determine the target bitrate range of the video under different quality requirements. Recently, several schemes have been proposed to meet this requirement. However, they do not take the impact of visual influence into account. In this paper, we propose a new multi-category model to accurately predict the target bitrate range with target visual quality by machine learning. Firstly, a dataset is constructed to generate multi-category models by machine learning. The quality score ladders and the corresponding bitrate-interval categories are defined in the dataset. Secondly, several types of spatial-temporal features related to VMAF evaluation metrics and visual factors are extracted and processed statistically for classification. Finally, bitrate prediction models trained on the dataset by RandomForest classifier can be used to accurately predict the target bitrate of the input videos with target video quality. The classification prediction accuracy of the model reaches 0.705 and the encoded video which is compressed by the bitrate predicted by the model can achieve the target perceptual quality.