• Atmosphere
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• v.29 no.1
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• pp.75-86
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• 2019

In this paper, we introduce a novel Climate & Environment Database System (CEDS). The CEDS is developed by the National Institute of Meteorological Sciences (NIMS) to provide easy and efficient user interfaces and storage management of climate model data, so improves work efficiency. In uploading the data/files, the CEDS provides an option to automatically operate the international standard data conversion (CMORization) and the quality assurance (QA) processes for submission of CMIP6 variable data. This option increases the system performance, removes the user mistakes, and increases the level of reliability as it eliminates user operation for the CMORization and QA processes. The uploaded raw files are saved in a NAS storage and the Cassandra database stores the metadata that will be used for efficient data access and storage management. The Metadata is automatically generated when uploading a file, or by the user inputs. With the Metadata, the CEDS supports effective storage management by categorizing data/files. This effective storage management allows easy and fast data access with a higher level of data reliability when requesting with the simple search words by a novice. Moreover, the CEDS supports parallel and distributed computing for increasing overall system performance and balancing the load. This supports the high level of availability as multiple users can use it at the same time with fast system-response. Additionally, it deduplicates redundant data and reduces storage space.

• Journal of Korean Society for Quality Management
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• v.41 no.4
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• pp.499-512
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• 2013

Purpose: Quality Innovation Managements recently focus on developing relationship with customers to meet their requirements and enhance loyalty in the competitive environments in Countries. The purpose of this study is to explore the effects of innovation, quality, satisfaction and customer loyalty. Methods: After reviewing the literatures, the structural equation modeling (SEM) was conducted test the research model. The data was collected from Quality Leader by the questionnaire In Korea and China. Results: The results of SEM show that hardware innovation quality have a positive effect on customer satisfaction. Customer Satisfaction have a positive effect on customer satisfaction. Conclusion: The authors demonstrate that the hardware innovation quality is related positively to customer satisfaction. And customer satisfaction has a positive effect on customer loyalty. A number of notable findings are reported including the empirical verification that hardware innovation quality, customer satisfaction, and customer loyalty may all be directly related to business performance.

• Journal of Distribution Science
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• v.20 no.5
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• pp.13-22
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• 2022

Purpose: This study aimed to identify factors affecting attitudes and intentions toward online purchasing of millennials and gen z in Indonesia by considering distribution capabilities factors. Research design, data and methodology: This study used a non-probability sampling technique. The questionnaire was distributed through an online platform and obtained 225 respondents. The data acquired from the respondents used SPSS 23 and AMOSS 21 to process the Structural Equation Model (SEM). Results: The results of this study stated that attitudes and intentions toward online purchases were influenced by delivery speed and trust. The results also stated that the perception of web quality positively influenced trust. On the other hand, shipping tracking, people's importance to consumers, and online reviews had no significant effects on online purchasing attitudes. Conclusions: This research has made an essential contribution to increasing and expanding our understanding of factors that affect attitudes and intentions toward online shopping in a developing market, Indonesia. From a practical perspective, this research examined the integrated consumer model of millennials and Gen Z online shopping in Indonesia that considers distribution capability, trust, and perceived website quality factors. Therefore, e-commerce business actors can design e-marketing strategies and programs to achieve the company's long-term goals.

• Journal of Information Technology Applications and Management
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• v.30 no.2
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• pp.1-18
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• 2023

Recently, as technology development has accelerated and product life cycles have been shortened, it is necessary to derive key product features from customers in the R&D planning and evaluation stage. More companies want differentiated competitiveness by providing consumer-tailored products based on big data and artificial intelligence technology. To achieve this, the need to correctly grasp the required quality, which is a requirement of consumers, is increasing. However, the existing methods are centered on suppliers or domain experts, so there is a gap from the actual perspective of consumers. In other words, product attributes were defined by suppliers or field experts, but this may not consider consumers' actual perspective. Accordingly, the demand for deriving the product's main attributes through reviews containing consumers' perspectives has recently increased. Therefore, we propose a review data analysis-based required quality methodology containing customer requirements. Specifically, a pre-training language model with a good understanding of Korean reviews was established, consumer intent was correctly identified, and key contents were extracted from the review through a combination of KeyBERT and topic modeling to derive the required quality for each product. RevBERT, a Korean review domain-specific pre-training language model, was established through further pre-training. By comparing the existing pre-training language model KcBERT, we confirmed that RevBERT had a deeper understanding of customer reviews. In addition, all processes other than that of selecting the required quality were linked to the automation process, resulting in the automation of deriving the required quality based on data.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.289-295
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• 2015

Laboratory Research Notebook is the recorded data of the process and the result of research and also the most basic data. To record and manage R&D information systematically is a very basic method to secure R&D quality and becomes a foundation of performing a project successfully. Especially, as the laboratory environment is getting digitalized due to development of IT technology, most R&D information is recorded as electronic documents. Therefore, Laboratory Research Notebook is used to effectively manage R&D information recorded as electronic documents. This study would like to look at Laboratory Research Notebook which is used to manage R&D information systematically and then present a model which suits research environment.

• Korean Management Science Review
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• v.19 no.2
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• pp.59-73
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• 2002

There have been academic debates upon which measure is more desirable in measuring service quality between SERVQUAL and SERVPERF In addition, Korean fast food industry is rapidly growing due to increasing income and globalization. Our study tried to contribute to both academic and practical issues. We compared SERVQUAL and SERVPERF measures to determine which one is superior to measure service quality in Korean fast food franchise. We collected data from two branch restaurants of one American global fast food franchise system. Regression analyses resulted in that SERVPERF outperformed SERVQUAL. Furthermore, we compared the goodness of fit of the two structural equation models of SERVQUAL anO SERVPERF, respectively. The SERVPERF model showed a much better model fit than the SERVQUAL model did. Thus, we suggest that SERVPERF be used to measure service quality in Korean fast food industry.

• Journal of the Korea Institute of Building Construction
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• v.24 no.1
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• pp.157-168
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• 2024

The frequent occurrence of structural failures at building construction sites in Korea has underscored the critical role of rigorous oversight in the inspection and management of construction projects. As mandated by prevailing regulations and standards, onsite supervision by designated supervisors encompasses thorough documentation of construction quality, material standards, and the history of any reconstructions, among other factors. These reports, predominantly consisting of unstructured data, constitute approximately 80% of the data amassed at construction sites and serve as a comprehensive repository of quality-related information. This research introduces the SL-QPA model, which employs text mining techniques to preprocess supervision reports and establish a sentiment dictionary, thereby enabling the quantification of quality performance. The study's findings, demonstrating a statistically significant Pearson correlation between the quality performance scores derived from the SL-QPA model and various legally defined indicators, were substantiated through a one-way analysis of variance of the correlation coefficients. The SL-QPA model, as developed in this study, offers a supplementary approach to evaluating the quality performance of building construction projects. It holds the promise of enhancing quality inspection and management practices by harnessing the wealth of unstructured data generated throughout the lifecycle of construction projects.

• Journal of Korean Society for Quality Management
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• v.42 no.4
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• pp.717-728
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• 2014

Purpose: The purpose of this research is to develop a model tat explains the motivation of mobile coupon gift intention in mobile instant messenger service. Methods: This study utilized Structural Equation Model to clarify factors those influence mobile coupon gift intention under mobile messenger environment. Results: The research model in this study is verified with two hundreds sample data. This study found that mobile coupon gift-givers's giving intention is influenced by experimental and obligated motivation, price utility, social value of gift-giving, and perceived ease of use of the technology. Conclusion: This study verified five factors those influence to mobile coupon gift-giving intention. Although this study initially suggests and verify gift-giving intention model, we expect further research that related to other factors affecting the intention and other recent technology factors such as personal innovation and others.

• Journal of Korean Society on Water Environment
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• v.20 no.6
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• pp.685-691
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• 2004

Water quality forecasting with long term flow is important for management and operation of river environment. However, it is difficult to set up and operate a physical model for water quality forecasting due to large uncertainty in the data required for model setting. Therefore, relatively simpler stochastic approaches are adopted for this problem. In this study we try several multivariate time series models such as ARMAX models for the possible substitute for water quality forecasting. Those models are applied to the BOD and COD levels at Noryangin station, Han river, and also evaluated the effect of release from Paldang dam on them. Monthly BOD and COD data from 1985 to 1991 (7 years) are used for model building and another two year data for model testing. As a result of the study, the effect of improvement on water quality is much more effective combining with the water quality improvement of dam release than considering only increment of dam release in the downstream Han river.

• Journal of Distribution Science
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• v.11 no.5
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• pp.5-15
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• 2013

Purpose - The purpose of this study is to investigate the impact of the service quality of a university-based convenience store on consumer satisfaction, service value, and customer loyalty. Research design, data, and methodology - The questionnaire was developed by using the modified and supplementary questions based on the KD-SQS model. We used the SPSS/PC 18.0 and AMOS 18.0 statistical packages to analyze the results. For validating the research hypothesis and the structural relationship of the research model, path analysis was used. Results - The overall results of this study are as follows. We found that benefits, promotion, and convenience had a significant impact on two variables: customer satisfaction and service value. Conclusions - The basic benefits, promotions, and convenient facilities in the university-based convenience store have already received favorable reviews. Therefore, for improving customer satisfaction, it is important to improve the reliability of service, quality of human interaction, and customer service.