• Journal of Korean Society for Quality Management
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• v.30 no.2
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• pp.181-201
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• 2002

Best practices are the best ways to perform a business process. Benchmarking, the search for those best practices that will lead to superior performance of a company, is indispensible to gain and maintain a competitive edge. Best practices of quality management in the world-class companies are examined. Customer-centered strategy, employee selection and training, employee satisfaction, customer satisfaction, performance measurement are considered in this paper.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.117-135
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• 2016

Performance enhancement is one of the most important issues in high performance distributed computing systems. In such computing systems, online users submit their jobs anytime and anywhere to a set of dynamic resources. Jobs arrival and processes execution times are stochastic. The performance of a distributed computing system can be improved by using an effective load balancing strategy to redistribute the user tasks among computing resources for efficient utilization. This paper presents a multi-class load balancing strategy that balances different classes of user tasks on multiple heterogeneous computing nodes to minimize the per-class mean response time. For a wide range of system parameters, the performance of the proposed multi-class load balancing strategy is compared with that of the random distribution load balancing, and uniform distribution load balancing strategies using simulation. The results show that, the proposed strategy outperforms the other two studied strategies in terms of average task response time, and average computing nodes utilization.

• Journal of Engineering Education Research
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• v.26 no.3
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• pp.3-11
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• 2023

This study introduces the peer class consulting program at K-Institute of Technology aimed at improving class quality through the diagnosis of professors' teaching methods, analysis of the pros and cons, and assessment of their class management ability. To carry out the program, 641 students taking classes with the professors were surveyed on their satisfaction and learning motivation levels. The class composition was analyzed by monitoring the professor's class. The effect of the consulting was verified by comparing students' class satisfaction scores before and after consulting. Additionally, 29 professors subject to the consulting were surveyed on their satisfaction with the program. According to the results, professors subject to the consulting recognized that the teaching methods and class management strategies presented through the consulting effectively improved student satisfaction and motivation and provided an opportunity to gain confidence through the class. Furthermore, professors subject to the consulting were able to acquire knowledge, skills, and attitudes related to class management, and they perceived the program positively, stating that it allowed them to quickly adapt to the university education environment through cooperative communication with senior professors serving as consultants.

• Journal of the Korean Operations Research and Management Science Society
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• v.32 no.4
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• pp.77-88
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• 2007

This study is to apply of AHP to the performance management of university organization. Especially, in the present study, the authors modeled performance evaluations for S university administration hierarchically and analyzed the weights of those. The domains of performance evaluations were divided in five domains: strategy, resource management, process, finance management, and customer management, referred to the viewpoints of BSC. The results of analysis revealed that strategy was the most important element of evaluation in the first stage and except for strategy and finance management which consist of the single element of evaluation respectively in the second stage, the efficiency of administration supporting service was the important element of evaluation. The weights of performance evaluations, however, revealed in different as the class of position. Finally this study showed that the weights of performance evaluations computed in the present study can be used as those of evaluation indices for S university administration.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.3
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• pp.83-104
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• 2017

It is the approach of development of teaching methods for competency development in business class. This study distinguishes areas that can be commonly applied to many business subjects. And we derive core competencies from the basic skills of NCS. The results of this study are as follows. First, we have established an opportunity to distinguish the subject field of business administration(personnel/organization/strategy, production/operation management, marketing, financial/finance/insurance, accounting, MIS). Second, we have proposed guidelines for the setting of the each subject goals and the setting of the professor's competency. Third, we have summarized teaching method which are studied as valid in business class(lecture method, problem based learning method, action learning teaching method, and management simulation teaching method) and we suggested how to apply teaching methods to the each subject.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.237-243
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• 2012

The more the satisfied customers increases in customer satisfaction survey, the more the company has difficultly in improving the customer satisfaction. In addition, the effectiveness of practical application of customer satisfaction survey decreases due to its constitution limitation on its data analysis. To overcome these problems, it is necessary to develop a new method to identify the strategy meanings and find the dissatisfied factors of satisfied customers using the satisfied customers reclassification. This study focuses on the satisfied customer segmentation using Latent Class Analysis. The case study shows that the satisfied customers are divided into three subgroups using Latent Class Analysis and we draw meaning results such as satisfaction and dissatisfaction factors through analyzing each group. This study is expected to play the role as the groundwork for the revitalization of customer satisfaction survey.

• Journal of Information Technology Applications and Management
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• v.19 no.1
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• pp.47-59
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• 2012

A number of organizations have had big interests in studies concerning leadership and in academic areas, in not only management but also psychology. Until now, leadership has been accentuated by managers or team leaders especially. Recently, however, the concept of self-leadership directing one's own activities through self-control or self-management is being focused on in practices and in academia. This study is to investigate the influence between self-leadership strategies and learning performance in IT classes mediated by attitude of attendance focused on the social science students in two universities (Korea (121 samples) and India (106 samples)). And this research tried to compare difference between two university students. Research results can give us direction of task-taking attitudes in firms or learning attitudes in teaching organizations and implications to human resource managers who are in charge of improving learning performance or productivity.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.573-583
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• 2022

This study was attempted to analyze the effect of a note-taking strategy applied to blended learning adult nursing education. Data were collected from September 17 to October 15, 2021, and analyzed using the SPSS/WIN 26.0 program with a single group pre/post design targeting 33 nursing students. As a main result, learning motivation rose from 3.27 before class to 3.40 after class, but there was no significant difference(t=-1.501, p=.143), and class participation significantly increased from 2.95 before class to 3.27 after class(t=-2.669, p=.012). Motivation for learning before class was pre-class participation(r=.838, p<.001), learning motivation after class(r=.545, p=.001), and class participation after class(r=.462, p=.007) and each showed a significant positive correlation. Learning motivation and class participation according to gender(Wilks'𝛌=.866), class interest(Wilks'𝛌=.632), and class satisfaction(Wilks'𝛌=.822) were all higher than the significance level of .05, so they were no significant difference. Based on these results, applying a note-taking strategy to blended learning adult nursing education was effective in improving class participation. In a future study, it is necessary to verify the effectiveness by applying a note-taking strategy customized according to academic achievement.

• Journal of Information Technology Applications and Management
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• v.15 no.2
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• pp.33-49
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• 2008

The purpose of this study is to find student factors associated with the students' evaluation of university teaching, and to provide a meaningful reference to policy-making of teaching evaluation. Based on the surveyed questionnaires from 232 students who participated in e-learning course. in combination with applying descriptive statistics, this study analyzes (1) the influences of students' pre-motivation level of student based-on ARCS theory on class satisfaction, (2) the influences of students' grade, attendance, and class involvement on class satisfaction, and (3) the influences of e-learning experience on students' pre-motivation level and class satisfaction. Result of this study shows that: (1) students' pre-motivation level including Attention(A), Relevance(R), Confidence(C), and Satisfaction(S) is positively correlated to students' evaluation for teaching, (2) students' grade, attendance. and class involvement are positively correlated to students' evaluation for teaching, and (3) students' e-learning experience is not related with students' pre-motivation level, whereas it is related with class satisfaction.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.281-287
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• 1999

Decision class analysis (DCA) is viewed as a classification problem where a set of input data (situation-specific knowledge) and output data (a topological leveled influence diagram (ID)) is given. Situation-specific knowledge is usually given from a decision maker (DM) with the help of domain expert(s). But it is not easy for the DM to know the situation-specific knowledge of decision problem exactly. This paper presents a methodology fur sensitivity analysis of DCA under incomplete information. The purpose of sensitivity analysis in DCA is to identify the effects of incomplete situation-specific frames whose uncertainty affects the importance of each variable in the resulting model. For such a purpose, our suggested methodology consists of two procedures: generative procedure and adaptive procedure. An interactive procedure is also suggested based the sensitivity analysis to build a well-formed ID. These procedures are formally explained and illustrated with a raw material purchasing problem.