• Journal of Electrical Engineering and Technology
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• v.1 no.1
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• pp.28-34
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• 2006

Recently, in accordance with the development of IT technology, it is prevalent for power quality monitors to be connected to each other via networks and share their data because such networks provide system-wide insights to customers concerning power quality. Those systems can alarm and display power quality events for the convenience of customers. However, if a power quality event occurs, it is difficult for customers to determine its cause and solution because the systems do not provide appropriate power quality diagnosis functions. The power quality management system presented in this paper has been developed to provide customers with various power quality diagnosis functions so that they can cope well with power quality problems with the right measure in the right place. This paper presents the structure and functions of the developed power quality management system and shows some results of the power diagnosis functions.

• Journal of Korean Society for Quality Management
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• v.44 no.1
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• pp.1-16
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• 2016

Purpose: This paper reviews the papers on statistical quality control issues which are published in Journal of the Korean Society for Quality Management (KSQM) since 1965. The literature review is purposed to survey a variety of statistical quality control issues. Methods: By grouping all of statistical quality control issues into 3 categories:; quality inspections, control charts, and process capability analysis. Results: Grouping all of papers on statistical quality control published in journal of the KSQM for 50 years into 3 categories, we provide a chronological roadmap for individual categories, and summarize the contents and contributions of surveyed papers. Conclusion: The review paper is expected to provide future direction to improve statistical quality control theories and applications in manufacturing and service industries.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.301-312
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• 2017

Quality evaluation and control represent increasingly important concerns for construction quality management. There is an evident need for a standard data model to be used as the basis for computer-aided quality management. This study focuses on how to realize evaluation of construction quality based on BIM and database technology. In this paper, the reinforced concrete main structure is taken as an example, and the BP neural network evaluation model is established by inquiring current construction quality acceptance specification and evaluation standard. Furthermore, IFC standard is extended to integrate quality evaluation information and realize the mapping of evaluation information in BIM model, contributing to the visualization and transfer sharing of evaluation information. Furthermore, the conceptual entity model is designed to build quality evaluation database, and this paper select MySQL workbench system to achieve the establishment of the database. This study is organized to realize the requirement of visualization and data integration on construction quality evaluation which makes it more effective, convenient, intuitive, easy to find quality problems and provide more comprehensive and reliable data for the quality management of construction enterprises and official construction administratiors.

• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.629-648
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• 2017

Purpose: The world faces a great turning point fundamentally rebuilding the future, and human lives, by embracing the 4th industrial revolution era. This paper aims to seek new and various business models in the 4th industrial revolution era, and to examine the evolution of quality management in the changing of the industrial ecosystem. Methods: This paper examines the various strategies of approaching the 4th industrial revolution in Germany, the USA, Japan, China, and Korea. This paper also draws detailed items by classifying the six major items of Malcolm Baldridge into large, medium, and small scale classifications, researches items from the technical perspective by applied fields, and the four major factor perspectives of quality management, as well as analyzes the relevant items in a multidimensional method. After a questionnaire survey targeting 200 quality experts was conducted, the important quality management factors were selected by applying the Analytic Hierarchy Process (AHP) method. Results: The importance of the general criteria was analyzed in the order of customers, MAKM (measurement, analysis, and knowledge management), workforce, strategy, operations, and leadership. As for the importance analysis results of the secondary subcriteria, the following items are highly analyzed: senior leadership, searching business model's innovation opportunity, customer satisfaction improvement, big data utilization, systematic management of workforce, and, planning and design quality. Conclusion: In the era of the Internet of everything, when complexity increases, this study presented a quality management direction suitable for new business methods challenging existing orders by drawing on quality management priorities.

• The Journal of Information Systems
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• v.10 no.1
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• pp.303-322
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• 2001

This paper proposes 2 problems of Internet Marketing. Firstly, nowadays many people are aware of Web Service and the services that are available in cyberspace. However they are not fully aware of the concepts and range of Web Services. Secondly, most of the research of Internet Marketing focuses on the service quality of cyber shopping using SERVQUAL in relationship to service quality of shopping malls. Therefore they have a lot of limitations because they do not understand all the media characteristics of Internet. Basically the Internet has service parts and also has characteristics of new advertising. But many research papers do not consider these respects. The purpose of this paper is to study of the effects of Web Service Quality on Internet Commerce Transactions. To accomplish the purpose of this paper effectively, theoretical background of web services was reviewed briefly. We defined Web Services and categorized them. We found that the components of Web Service Quality are Information Providing Service Quality and Advertising Service Quality. Factor analysis is conducted according to the dimensions of each component. We conducted Path analysis how these components affect buyers'attitude and buyers'attitude affect revisit intentions and buyer intentions. The results show that strategies of cycler brand construction are better than strategies of selling to web surfers. The strategies of cyber brand construction are related to buying in that customers increase their visits to the entrepreneur's Web site and this increases the loyalty to that site therefore this is related to buying habits.

• Journal of Korea Trade
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• v.23 no.5
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• pp.102-117
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• 2019

Purpose - This paper tried to identify the impact of electronic word of mouth (eWOM) on purchase intention (PI) of Korean-brand cars in the context of Russian consumers, taking into consideration the credibility, quality, and quantity of eWOM while also considering the mediation effects of brand image (BI) and perceived quality (PQ). Although there is a considerable number of studies discussing the impact of eWOM determinants on PI, not many studies were conducted focusing on the Russian market. Design/methodology - This paper is considered to fill this gap between eWOM and (PI) and, in order to do so, 211 Russian respondents were randomly selected. Descriptive analysis, factor, and reliability analysis were conducted using SPSS version 22.0. While structural equation modeling was conducted using AMOS version 24.0. Findings - The results display that, in terms of Russian consumers' perception, eWOM credibility, quality, and quantity for Korean-brand cars show a substantial impact on PI. The mediation effects of brand image, as well as perceived quality, were also supported by analysis. In the final part of the paper, theoretical and managerial implications alongside limitations with further research suggestions are presented. Originality/value - This study endeavored to explore the degree of impact of eWOM and mediating roles of BI and PQ on Russian customer intentions to buy Korean-brand cars.

• Journal of Korean Society for Quality Management
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• v.39 no.1
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• pp.24-33
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• 2011

This paper investigates the quality determinants in the consulting service for small and medium sized company. The results of the analysis show that the quality dimension is composed of two factors, consulting skills and interaction, and consulting skills are composed of understanding, expertise, and reliability. Also, this paper examines how the quality factors affect customer satisfaction and loyalty using a structural equation model. The result shows that all consulting skills affect customer satisfaction and customer satisfaction affects customer loyalty. The consulting results have an effect on customer satisfaction but have no direct influence on customer loyalty.

• Asian Journal of Business Environment
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• v.9 no.1
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• pp.13-20
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• 2019

Purpose - The purpose of this paper is to find out the determinants of the quality of financial information in the financial environment of the cement companies of Bangladesh. Research design, data and methodology - This study considers a total of fifty-eight firm years as the sample from the seven listed cement companies of Bangladesh during the period of 2007 to 2015. This study applies the multivariate regression analysis including the pooled OLS, panel and controlling time. Results - This study finds that profitability and external financing are the two major explanatory variables in determining the quality of financial information. This study also finds that firm size and accrual quality don't have any significant influence on quality of financial information. Conclusion - This study observed that profitability of this sector which is much volatile and prone to be manipulated. Thus, this paper suggests that higher profitability needs more scrutiny while assessing quality of financial information. Finally, this study provides some indications for future research such as considering the listed firms of other sectors of Bangladesh or cross country comparison in different country setting.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
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• 2002.05a
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• pp.1-8
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• 2002

At present, company has to produce a product that consumer like with a competitive price, a good quality, and a fitting time to supply. Process control and qualify control are very important to supply with a product uniformly and inexpensively In this paper, the characteristic of product quality is monitored by control chart during the machining process and construction of quality control cycle is considered to divide into two types in this case that different assignable causes lead to shifts having different magnitudes. Then we are intended to find a process shift magnitude which has economical quality cost policy and are considered to quality cost functions to find a process shift magnitude. Those costs are categorized into the well-known categories of prevention, appraisal, and internal failure and external failure. This paper ends with numerical examples that demonstrate the usefulness of the model.

• Journal of Korean Society for Quality Management
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• v.32 no.3
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• pp.109-125
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• 2004

This paper deals with an optimal process control problem in production of hull structural steel plate with high defective rate. The main quality characteristic(dependent variable) is the internal quality(defect) of plates and is dependent on process parameters(independent variables). The dependent variable(quality characteristics) has three categorical ordinal data and there are 35 independent variables(29 continuous variables and 6 categorical variables). In this paper, we determine the main factors and to develop the mathematical model between internal quality predicted probabilities and the main factors. Secondly, we find out the optimal process condition of main factors through analysis of variance(ANOVA) using simulation. We consider three models to obtain the main factors and the optimal process condition: linear, quadratic, error models.