• Journal of Information Processing Systems
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• v.18 no.2
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• pp.173-187
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• 2022

A special government agency has been charged with implementing quality management to guarantee the quality of wild-simulated ginseng. However, these processes are carried out by use of documents, and this has resulted in information omission and high document management costs. To solve this problem, this study analyzed the existing quality management process by using a smart contract for the existing offline form and proposed a new quality management system for storing and managing all log data in the blockchain. This system reduced documentation management costs about quality management and recorded information in the previous step through the quality management steps, thus forming a step-by-step record chain. Experiments were conducted by implementing this system, which improved data integrity and reliability. Additionally, sensitive information, such as personal information, was included in the system by use of the off-chain technology.

• Journal of the Korea Society of Computer and Information
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• v.18 no.3
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• pp.127-139
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• 2013

Social commerce has not been studied in depth as it is a more common recent phenomenon. Especially, social commerce has not been examined academically in terms of information quality despite its importance. The purpose of this paper is to investigate the effects of information quality on customer satisfaction and continuous intention to buy in social commerce market. This study addresses two research questions as following. First, this study aims to examine the effects of information quality on customer satisfaction and then investigate the relationship between customer satisfaction and continuous intention to use in social commerce market. According to the result of analysis, all aspects of information quality except price information quality were found to be significantly related to the customer satisfaction. Finally, customer satisfaction was shown to be significantly related to the continuous intention to use. This study has academic and practical significance in that it analyses the customer satisfaction in terns of information quality and then provides strategic guide for enhancing customer satisfaction in rapidly developing social commerce market.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.456-463
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• 2023

We conducted this study to identify the components of H&B store app service quality and their effect on customer satisfaction. The survey was conducted through an online survey for teenagers or older with experience in using H&B store app. A total of 330 copies were distributed and a total of 282 copies were used for the final analysis. The results of this study are summarized as follows: First, eight factors such as ease of use & design, fulfillment, playfulness, responsiveness, personalization, security, contextual usefulness, interactivity were derived as service quality components of H&B store app. Second, as a result of regression analysis, the six service quality components, such as 'ease of use & design', 'fulfillment', 'playfulness', 'responsiveness', 'security', and 'interactivity' were found to have a significant positive (+) effect on customer satisfaction (p<0.05) and 'playfulness (β=.372)' had the greatest effect on customer satisfaction. Based on the results of this study, we should strive to establish effective marketing strategies in the H&B industry.

• Journal of Korean Society of Environmental Engineers
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• v.27 no.3
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• pp.337-341
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• 2005

It is difficult to use average sewage water quality as a design parameter for the individual sewage wastewater treatment plant(ISWTP), because sewage water quality is very various according to the building use type. So, in this study, we estimated daily, seasonal and weekly trend of sewage water quality and flow rate in various kind of building to comprehend operating state of ISWTP. The sewage water quality and flow rate were higher in the business building than household building. The seasonal difference of the water quality was not detected but that of flow rate was high. The flow rate of the sewage in the business building was higher in summer than in other seasons and in weekend than in weekday. The treatment efficiency of IWSTP was about $70{\sim}80%$ with BOD, $40{\sim}50%$ with TN and TP, which was very low. The unit loads of the individual house were 36.05 gpcd with BOD, 37.91 gpcd with SS, 23.91 gpcd with T-N, and 7.90 gpcd with T-P respectively, and those values were higher than other studies. It is because, as distinct from other studies, sewage water quality was monitored at the inlet point of the IWSTP in this study. We can use this results as an one of basic parameters for the design of IWSTP.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.213-220
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• 2016

This study surveyed 252 senior citizens in the Chungnam and Chungbuk regions to review the effects that information use has on quality of life. Participants were divided into two sub-groups based on household types. Data was analyzed using PASW Statistics 18.0. Major findings are as follows: First, information use, mental and psychological health, as well a&s social relationships found in study subjects were significantly higher among seniors not living alone. Second, factors that influence the quality of life were found to be same for each group, but significantly different for their influence of each group. Factors that influence the quality of life were found to be economic status, information use, and education level. Factors that influence the quality of life in elderly living alone were found to be economic status, education level, information use. Based on these findings, the study presents practical and integrated measures to help the original objective of this research to be achieved.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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• pp.77-93
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• 2024

Purpose: The purpose of this study is to examine machine learning use cases in manufacturing companies from a digital quality management (DQM) perspective and to analyze and present machine learning research patterns from a quality management perspective. Methods: This study was conducted based on systematic literature review methodology. A comprehensive and systematic review was conducted on manufacturing papers covering the overall quality management process from 2015 to 2022. A total of 3 research questions were established according to the goal of the study, and a total of 5 literature selection criteria were set, based on which approximately 110 research papers were selected. Based on the selected papers, machine learning research patterns according to quality management were analyzed. Results: The results of this study are as follows. Among quality management activities, it can be seen that research on the use of machine learning technology is being most actively conducted in relation to quality defect analysis. It suggests that research on the use of NN-based algorithms is taking place most actively compared to other machine learning methods across quality management activities. Lastly, this study suggests that the unique characteristics of each machine learning algorithm should be considered for efficient and effective quality management in the manufacturing industry. Conclusion: This study is significant in that it presents machine learning research trends from an industrial perspective from a digital quality management perspective and lays the foundation for presenting optimal machine learning algorithms in future quality management activities.

• Journal of Korean Society for Quality Management
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• v.49 no.4
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• pp.505-525
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• 2021

Purpose: The purpose of this study was to investigate factors influencing the intention to use Fintech Digital Sand(D-Testbed), which facilitate digital innovation in the financial sectors and allow fintech startups to simulate the PoC their innovative ideas before starting a business. Methods: This study used the Extended Technology Acceptance Model (TAM2), with independent variables such as social influence, personal innovativeness, service quality, relative advantage, and security concerns used in previous studies, for analysis. For mediator variables, the perceived usefulness and perceived ease of use were used in this study. Results: The results indicated that social influence and perceived usefulness have a positive effect on the intention to use. It was also analyzed that relative advantage has a mediating effect on perceived usefulness whereas service quality nor personal innovativeness are not statistically significant mediation. On the other hand, perceived ease of use on the intention is not statistically significant. By this, it was confirmed that the intention to use Fintech Digital Sand(D-Testbed) was to improve the business performance of fintech companies, but not because it was easy to learn and take less effort. Conclusion: The finding of the study provides valuable implications for invigorating the use of fintech digital sandbox(D-testbed) and identifying the factors that affect the perception and intention to use among employees in fintech companies in advance.

• The Journal of Information Systems
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• v.12 no.2
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• pp.41-56
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• 2003

The objective of this study is to explore the effects of e-teaming users' self-efficacy and perceived service quality for e-teaming staffs such as instructors or teaching assistants on two main perceptions for e-learning systems in a view of information technology - perceived ease of use and perceived usefulness which have been considered as important antecedents for acceptance of information technology so called in Technology Acceptance Model. For this purpose, we suggest a research model and test it empirically by sampling in students of virtual universities. In result, all hypotheses except the relationship between academic self-efficacy and perceived usefulness are accepted. This result implies that self-efficacy for computers and service quality for staffs such as instructors or teaching assistants should be considered as important ones for success of e-learning systems in addition to those related with information technology.

• Journal of Korean Society of Water and Wastewater
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• v.33 no.5
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• pp.395-404
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• 2019

The point-of-use water dispenser systems are widely used because of convenience in handling and demand for high-quality drinking water. The application has been increased recently in the public places such as department stores, universities and the rest areas in express ways. Improvement of water qualities by the dispenser systems was compared with tap water in this study. The tap water is supplied to the dispenser as the influent of the dispenser system. The twelve dispensers in the public places were used. The five dispensers used reverse osmosis as the main filter and other dispensers used various filters such as ultrafiltration, nanofiltration, and alumina filter. The water quality indicators for sanitation safety, i.e., turbidity and total coliforms, were evaluated. Other water qualities such as pH, residual chlorine, heterotrophic plate count (HPC), and total cell counts were also analyzed. By the point-of-use water dispenser, the turbidity, residual chlorine and pH were decreased and the HPC and total cell counts were increased. The t-test results revealed that the HPC of the tap waters were not significantly different from the treated waters but the total cell counts of the two groups were significantly different. The low pH of the RO filter treatment was also significantly different from the tap waters. This study will contribute to understand the role of the point-of-use water dispenser in improving water quality and to identify key water quality for the proper maintenance of the dispenser systems.

• Journal of Korean Society for Quality Management
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• v.50 no.1
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• pp.105-124
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• 2022

Purpose: The purpose of this study is to examine the factors that influence the pre-use expectation and the continuous usage intention of the OTT services. Methods: For empirical analysis, the survey for this study was administered with many anonymous people who had previously used any of the OTT services and valid 192 data were analyzed by SPSS and PLS-SEM. Results: The results of this study are as follows. Personalization and understandability in the information quality didn't significantly affect confirmation. Ease of use and search of the system quality significantly affected confirmation. Also, it was found that content diversity, content recency, and content playfulness as the characteristics of the content quality significantly affected the expectation confirmation. OTT service fees also significantly affected the expectation confirmation. It also significantly affected perceived usefulness and satisfaction. Finally, satisfaction positively influenced the continuouse intention to use. Conclusion: The findings of this empirical analysis shows that the specific characteristics related to the relationship of expectation confirmation, perceived usefulness, satisfaction, and continuous usage intention with respect to OTT services through the Post Acceptance Model (PAM). Because system quality, content quality, and service fees meeted users' expectations, OTT services need a strategy that can boost the users' positive perceptions or experiences by reinforcing these three factors.