• Journal of Distribution Science
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• v.13 no.9
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• pp.19-27
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• 2015

Purpose - In a global economy, marketers are required to understand service quality from an international consumer viewpoint. Despite the increased need for cross-cultural research, few studies have developed service quality research international in scope. The present research aims to shed light on variations in airline service quality among international consumers. Research design, data, and methodology - Conducting crosscultural research, this study compares airline service quality variations, investigating an international consumer group and a Korean consumer group. T-test and factor analyses are applied to examine mean scores and factor structure of the airline service dimensions. Results - The results indicate there are significant differences in mean comparisons between the groups. The international consumers indicate significantly higher service perception scores than the Koreans. Further, we find that the factor structure of airline service quality diverges between the groups. The international group considers airline service quality in four dimensions, while Koreans consider it in two. Conclusions - The study sheds new light on international service variations and suggests that the field of airline service quality may differ by nations and/or cultures.

• International Journal of Quality Innovation
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• v.7 no.1
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• pp.161-176
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• 2006

The objective of the study was to empirically assess the practice of quality management among employees of Malaysian public hospitals at the district, state and national level hospitals. Comparative analysis on the practice of quality management was made among the three groups of hospitals. Self-administered questionnaire was the main method of data collection. Twenty-three public hospitals throughout Peninsular Malaysia participated in the survey. Practice of quality management was found to be significantly higher in district hospitals than in the national referral centre, which is based in the capital city of Kuala Lumpur. However, there was no significant difference in perception of implementation outcome between the three levels of hospitals. Among the factors of quality management, teamwork was found to be significantly higher in district hospitals than in state hospitals and the national referral centre. Leadership and management commitment was found to be significantly higher in district and state hospitals than in the national referral centre. The effect of organizational structure could have an effect on practice of quality management.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.2
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• pp.67-69
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• 2006

A load composition rate estimation algorithm is developed for DSM evaluation system. The algorithm has the structure which is composed of data verification and development and can enhance the data quality Also a hourly weighting function is introduced for maintaining load shapes. The load composition rates of specific industrial customers are obtained and the results of case studies show that a reasonable load composition rate is achieved. Additionally qualify function deployment (QFD) is introduced to enhance quality and reliability of data.

• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.119-130
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• 2011

On the point of data quality management, data quality is influenced by quality policy, quality organization, business process, and business rule. Business rules, guide of data manipulation, have effects on data quality directly. In case of building an integration database among distributed databases, defining business rule is more important because data integration needs to consider heterogeneous structure, code, and data standardization. Also data value has various figures depended on data type, unit, and transcription. Finally, database structure and data value problem have to be solved to improve data quality. For handling them, it is needed to draw database integration model and cleanse data in integrated database. NTIS(stands for National science and Technology Information Service) has an aim to serve users who need all information about national R&D by internet, and for that aim, it has a integrated database which has been made with several database sources. We prove that database integration model and data cleansing are needed to build a successful integrated database through NTIS case study.

• Journal of Korea Multimedia Society
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• v.20 no.12
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• pp.1874-1889
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• 2017

The paper aims to analyze structure of I/Q data observed from radar and reliably estimate rainfall through quality control of I/Q data that can quantify uncertainty of I/Q data occurring due to resultant errors. Radar rainfall data have strong uncertainty due to various factors influencing quality. In order to reduce this uncertainty, previously enumerated errors in quality need to be eliminated. However, errors cannot be completely eliminated in some cases as seen in random errors, so uncertainty is necessarily involved in radar rainfall data. Multi-Lag Method, one of I/Q data quality control methods, was applied to estimate precipitation with regard to I/Q data of rainfall radar in Mt. Sobaek.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.45-48
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• 2013

In this paper, we proposed an Indexing Structure System (ISS) based on Apache Hadoop in Wireless Sensor Network (WSN). Nowadays sensors data continuously keep growing that need to control. Data constantly update in order to provide the newest information to users. While data keep growing, data retrieving and storing are face some challenges. So by using the ISS, we can maximize processing quality and minimize data retrieving time. In order to design ISS, Indexing Types have to be defined depend on each sensor type. After identifying, each sensor goes through the Indexing Structure Processing (ISP) in order to be indexed. After ISP, indexed data are streaming and storing in Hadoop Distributed File System (HDFS) across a number of separate machines. Indexed data are split and run by MapReduce tasks. Data are sorted and grouped depend on sensor data object categories. Thus, while users send the requests, all the queries will be filter from sensor data object and managing the task by MapReduce processing framework.

• The Journal of Economics, Marketing and Management
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• v.11 no.2
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• pp.23-32
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• 2023

Purpose: This study examines the effect of full information disclosure on seller profit when there exists information asymmetry between sellers and buyers, focusing on the risk averseness of buyers. By investigating the interaction between product quality and perceived risk through online sales data, we attempt to figure out the incentive structure of full information disclosure specifically when buyers are risk-averse, so that we can suggest more feasible information disclosure strategy to sellers. Research design, data and methodology: Our empirical model analyzes the sales data of collectible goods from a major online seller using Poisson regression. In our model, we have specifically considered risk-averseness of buyers by estimating the interaction effect between the product quality and perceived risk on seller profit, aiming for a more precise empirical analysis on sellers' incentive structure of full disclosure. Results: Our empirical analysis strongly supports the effect of interaction between product quality and perceived risk, showing that the incentive for full disclosure is much stronger when product quality is higher, and vice versa. Therefore, sellers are strongly encouraged to voluntarily reveal product weaknesses when their product quality is higher than average, while it is more profitable to hide any product defects when quality claim is lower than average. Conclusions: This study supports the related literature by confirming economic incentives for full disclosure, and also supplements and strengthens previous studies by presenting that the effect of interaction between product quality and perceived risk strongly affects seller profit. Our unique finding supports both mandatory disclosure and voluntary disclosure arguments and presents practical implications to marketing managers by suggesting that seller's incentive for revealing weaknesses depends on the level of seller's product quality.

• Proceedings of the Korea Concrete Institute Conference
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• 1999.10a
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• pp.801-804
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• 1999

The interest in workability and quality control of concrete is increasing as to improve quality of concrete structure according to industrialization. Therefore, it is the aim of this study to evaluate the quality of flowing concrete and systematize quality control by analyzing the data of the quality control of concrete through a basic quality control system for improvement of the concrete in pumping flowing concrete for construction industy.

• Journal of the Korean Solar Energy Society
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• v.27 no.1
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• pp.19-27
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• 2007

The Data quality management system(DQMS) organizes and helps manage and process time sequence data usually collected in monitoring networks and programs. DQMS places particular emphasis on data qualify while maintaining a highly organized and convenient structure for data. It operates with in a flexible and powerful commercial relational data base environment which can readily link to other software platforms from local spreadsheets to network server. The Korea Institute of Energy Research(KIER) has been solar radiation data since May, 1991 for 16 different locations. KIER's new data is expected to be extensively used by designer and researchers of solar systems in lieu of unreliable old ones. Unfortunately, the quality of the data has not always been properly mentioned. The purpose of this study is to systematically identify errors in such data set using DQMS in an effort to rehabilitate error-ridden old data. DET successfully uncovered solar radiation data that had questionable quality.

• Journal of the Society of Naval Architects of Korea
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• v.46 no.1
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• pp.57-68
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• 2009

In automotive industries, reusability of product information is increasing through database construction of previous product data. The product data is stored by data quality management in product information systems. For naval ships, have the functional similarity by the ships of the same classification and class, that are built by series. Information of hull structures as well as embarked equipments are similar. So it would be effective to use database systems that are considered product information quality of previous ships in design and production processes. In this paper we discuss product information quality in database construction of naval ship product models. For this, we propose a basic concept and reference model for data quality verification. Based on this concept, A verification guideline is defined and it is applied for the case study of the digital naval ship which was built to the naval ship product model.