• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.6 s.165
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• pp.942-954
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• 2007

The purpose of this research is to examine the level of SCM activity, marketing capability, and firm performance for apparel firms, and to investigate the effect of SCM activities and marketing capabilities for firm performance improvement. This study surveyed domestic apparel manufacturing brands that distribute products nationwide. The data was collected through questionnaires sent to managers or executives in large and middle manufacturing corporations among Korea's listed and registered corporations. The data collection has been carried out from November 10 until December 11, 2006. The questionnaires were transmitted by individual visit, fax, and mail. A total of 98 completed responses were returned, three incomplete responses were discarded. The results were as follows: First, SCM activity was classified into 3 dimensions: structural, logistical, and technological factor. Three dimensions of marketing capability were identified with differentiation, cost-leadership, and operational factor. Firm performance was classified into three dimensions: financial, productivity, and customer satisfaction factor. Second, result of analyzing effects of SCM activities for firm performance improvement, it was found that the improvement of technological activities affected acquirement of financial, productivity, and customer satisfaction performs. Structural activities affected factor of productivity performs. Third, result of analyzing effects of marketing capabilities for firm performance improvement, improvement of differentiation capabilities affected acquirement of financial, customer satisfaction performs. And the improvement of operational capability affected acquirement of financial performs and improvement of cost-leadership capability affected factor of productivity performs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.345-353
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• 2021

This study examined the level of resilience and forgiveness, which are important factors of the future competencies of university students. First, a liberal arts course based on mindfulness theory, "Future Society and understanding of the human mind," was developed with expert validity. This class was opened as a liberal arts class. A test of resilience test and forgiveness scale were conducted before and after the class to determine if there was any change in the level of resilience and forgiveness of university students. There were 18 students in the experimental group and 21 general students in the control group attending S University in Seoul. In both groups, a structured resilience test and forgiveness scale were conducted before and after the experiment. SPSS 20.0 program was used for data processing, and the effectiveness was analyzed using a t-test, paired t-test, and cohen d score for the effect size. The group that showed an effect was verified by confirming the effect size to determine if it was meaningful. The analysis revealed a significant difference in the total resilience score and the sub-factors in positivity and control ability.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.195-203
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• 2023

Purpose: This study intends to check validity of tools for awareness of Business Continuity through measurement and analysis on the sub factors of Business Continuity by employees of railway-related organizations. Method: Based on the preceding study, sub factors of the awareness of Business Continuity are divided into 7 and the total of 29 questions were delivered to employees of railway-related organizations for investigation and analysis through the online survey tool. Result: According to EFA result, the number of factors of awareness of Business Continuity based on the theoretical ground was reduced to 7 and the total coefficient of determination was 82.616%. Checking the questions by factor, all the questions were loaded as intended. Conclusion: Validity of measurement tools of Business Continuity whose sub factors are the Context of Organization, Leadership, Planning, Operation, Support, Performance evaluation, and Improvement for railway organizations were secured through the Exploratory Factor Analysis of this study. As for the further tasks, studies on the structural relationship among internalization of business continuity, organization effectiveness, learning support environment, etc are required.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.770-778
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• 2023

Purpose: In order to reduce forklift industrial accidents, it is necessary to classify them into institutional, technical, and educational factors and conduct research on whether each factor affects disaster reduction. Method: Descriptive statistical analysis, validity analysis, reliability analysis, and multiple regression analysis were conducted using SPSS 18 program based on an offline questionnaire based on a 5-point Likert scale. Result: As a result of multiple regression analysis, it was found that institutional, technical, and educational factors, which are independent variables for disaster reduction, explain about 62.5% of the variance in disaster prevention, which is the dependent variable. The regression model verification was found to be statistically significant with F=118.775 and significance probability p<0.01. Conclusion: First, there is a need to prevent disasters by including electric forklifts weighing less than 3 tons in the inspection system. Second, there is a need to make it mandatory to install front and rear cameras and forklift line beams to prevent forklift collision disasters. Third, there is a need to conduct special training related to forklifts every year, and drivers and nearby workers need to be included in the special training for forklifts.

• Journal of the Korean Society for information Management
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• v.31 no.2
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• pp.57-77
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• 2014

As co-authorship has been prevalent within science communities, counting the credit of co-authors appropriately is an important consideration, particularly in the context of identifying the knowledge structure of fields with author-based analysis. The purpose of this study is to compare the characteristics of co-author credit counting methods by utilizing correlations, multidimensional scaling, and pathfinder networks. To achieve this purpose, this study analyzed a dataset of 2,014 journal articles and 3,892 cited authors from the Journal of the Architectural Institute of Korea: Planning & Design from 2003 to 2008 in the field of Architecture in Korea. In this study, six different methods of crediting co-authors are selected for comparative analyses. These methods are first-author counting (m1), straight full counting (m2), and fractional counting (m3), proportional counting with a total score of 1 (m4), proportional counting with a total score between 1 and 2 (m5), and first-author-weighted fractional counting (m6). As shown in the data analysis, m1 and m2 are found as extreme opposites, since m1 counts only first authors and m2 assigns all co-authors equally with a credit score of 1. With correlation and multidimensional scaling analyses, among five counting methods (from m2 to m6), a group of counting methods including m3, m4, and m5 are found to be relatively similar. When the knowledge structure is visualized with pathfinder network, the knowledge structure networks from different counting methods are differently presented due to the connections of individual links. In addition, the internal validity shows that first-author-weighted fractional counting (m6) might be considered a better method to author clustering. Findings demonstrate that different co-author counting methods influence the network results of knowledge structure and a better counting method is revealed for author clustering.

• Journal of Korean Home Economics Education Association
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• v.20 no.3
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• pp.85-105
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• 2008

The purpose of this study was to develop a narrative analytic scoring rubric through teacher-students negotiations, as an assessment of tasks using methods of experiment and practice for home economic(HE) in the middle school. In this study. an analytic rubric had been developed in the following three stages: In the first stage, all the things for rubric development were defined and prepared, by selecting tasks used for rubric application through a questionnaire survey, providing detailed directions on methods and procedures and needed items, and selecting a class for rubric negotiation and setting the development schedule. In addition, the method suggested by Ainsworth and Christinson(1998) in Student Generated Rubrics was used. In the second stage, performance criteria for tasks in terms of knowledge, skills, and attitude were developed, setting scoring framework and scales depending on assessment areas. Referring to selected scoring framework and assessment criteria, observable and assessable behaviors were used to describe rubric based on A, B, and C scale. Then, a primary rubric was developed through teacher-students negotiations, using rubrics made by group. In the last stage, the developed primary rubric was reviewed by an expert of HE education to test the validity. Moreover, the analysis to test the suitability of the final rubric assessment tool employed 46 copies of questionnaire collected from incumbent home economics teachers selected by way of random sampling mainly focusing on those teachers who were in the Master's degree program or completed the program at one university. As a result, the average of suitability of aa the rubrics were over 4.0 in th 5-point scale.