• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.4
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• pp.20-27
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• 2005

This paper aimed to examine core factors of the knowledge management and analyze their effects on organizational performance (employee satisfaction and competitive advantage). To accomplish this purpose, this study examined previous studies and summarized core factors of the knowledge management as people oriented, culture oriented and system oriented. 350 questionaries were distributed to the people living in Gumi. 327 questionaries were obtained and 302 data were analyzed by frequencies, correlation and multiple regression. The results of this study are as follows; First, we conducted exploratory factor analysis about three constructs (people oriented, culture oriented and system oriented) using oblique rotation method that did not assume independence among the factors and core factors of knowledge management were grouped together by three factors. Second, it is shown that three core factors of knowledge management have a positive influence on the employee satisfaction and competition (p<0.05). This study, however, have limitations in obtained sample and area. The future study should consider these limitations to improve model applicability in practice.

• Korean Journal of Adult Nursing
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• v.29 no.3
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• pp.290-301
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• 2017

Purpose: This study was aimed to identify the level of emotional labor, job stress and professional quality of life and to identify the factors affecting on professional quality of life among nurses in long-term care hospitals. Methods: 136 nurses working at eight different long-term care hospitals were recruited from May 1 to June 30, 2016. Data were analyzed by descriptive statistics, t-test, ANOVA, Pearson correlation, and stepwise multiple regression using SPSS/WIN 22.0. Results: Professional quality of life is consisted of three subcategories as compassion satisfaction, secondary traumatic stress and burn-out. As for the factors affecting on compassion satisfaction, age, satisfaction on working ward and shift pattern of duties were significant factors. The three variables' explanation power on compassion satisfaction was 25.0%. As for factors affecting on secondary traumatic stress, emotional labor was a significant factor. The emotional labor's explanation power on secondary traumatic stress was 13.0%. Factors affecting on burn-out, emotional labor, age, and health condition were significant factors. The three variables' explanation power on burnout is 31.0%. Conclusion: On the basis of results, program development are required to relieve emotional labor and job stress for nurses at long-term care hospitals and to improve their professional quality of life.

• Safety and Health at Work
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• v.12 no.3
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• pp.339-345
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• 2021

Background: Some researchers state that they are not yet able to provide a deep understanding of the underlying causes of unsafe behaviors (UBs). Therefore, the present study was conducted to investigate the attitudes and experiences of Iranian workers of UBs. Methods: This present study was conducted in 35 industries using a semistructured interview based on grounded theory. Forty participants were interviewed, including 13 industrial safety and health experts and 27 workers and supervisors. The analysis of the present study consisted of a three-step coding process including open, axial, and selective coding. Results: The results showed that the factors affecting UBs could be classified into three categories: organizational, individual, and socioeconomic factors. Organizational factors were divided into 6 parts: procedure and environmental conditions, communications, monitoring, organizational safety culture, resource allocation, and human resources. Socioeconomic factors had three subcategories: community safety culture, type of organizational ownership, and economic problems. Finally, the individual factors were classified into two categories of personality traits and individual competence. Conclusion: The results showed that organizational factors were the most categorized, and it is estimated that this factor has a more important role in the UBs. Of course, to better understand the close relationship between these factors and find the weight and importance of each factor, it needs to measure it with multicriteria decision systems.

• Nuclear Engineering and Technology
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• v.33 no.6
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• pp.596-604
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• 2001

This paper quantitatively presents the effects of important factors of the probabilistic safety assessment (PSA) of safety-critical digital systems. The result which is quantified using fault tree analysis methodology shows that these factors remarkably affect the system safety. In this paper we list the factors which should be represented by the model for PSA. Based on the PSA experience, we select three important factors which are expected to dominate the system unavailability. They are the avoidance of common cause failure, the coverage of fault tolerant mechanisms and software failure probability. We Quantitatively demonstrate the effect of these three factors. The broader usage of digital equipment in nuclear power plants gives rise to the safety problems. Even though conventional PSA methods are immature for applying to microprocessor-based digital systems, practical needs force us to apply it because the result of PSA plays an important role in proving the safety of a designed system. We expect the analysis result to provide valuable feedback to the designers of digital safety- critical systems.

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.387-392
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• 1998

To establish a monthly data collection planning for the Ocean Scanning Multispectral Imager (OSMI), we have examined the global patterns of three impacting factors: pigment concentration, cloud cover, and sun glint. Other than satellite mission constraints (e.g., duty cycle), these three factors are considered critical for the OSMI data collection. The Nimbus-7 Coastal Zone Color Scanner (CZCS) monthly mean products and the International Satellite Cloud Climatology Project (ISCCP) monthly mean products (C2) were used for the analysis of pigment concentration and cloud cover distributions, respectively. And the monthly simulated patterns of sun glint were produced by performing the OSMI orbit prediction and the calculation of sun glint radiances at the top-of-atmosphere (TOA). Using monthly statistics (mean and/or standard deviation) of each factor in the above for a given 10$^{\circ}$ latitude by 10$^{\circ}$ longitude grid, we generated the priority map for each month. The priority maps of three factors for each month were subsequently superimposed to visualize the impact of three factors in all. The initial results illustrated that a large part of oceans in the summer hemisphere was classified into the low priority regions because of seasonal changes of clouds and sun illumination. Sensitivity tests were performed to see how cloud cover and sun glint affect the priority determined by pigment concentration distributions, and consequently to minimize their seasonal effects upon the data collection planning.

• Korean Journal of Environment and Ecology
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• v.29 no.2
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• pp.236-249
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• 2015

The master plan of forest land management proposes forest watershed management that considers regional characteristics in order to overcome the problem of uniform forest land management. In order to manage the forest watersheds in Gyeonggi-do, this study classified 1,823 forest watersheds in Gyeonggi-do and attempted to understand their characteristics. It conducted a factor analysis and cluster analysis from the perspective of conservation value and development pressure using forest land indicators. In terms of conservation value, three factors were drawn: the topography factor, vegetation factor and public service factor, while in terms of development pressure, three factors were drawn: the easiness of development factor, economic benefits factor and development activity factor. Using these factors, forest watersheds were divided into three clusters in terms of conservation value while they were divided into three clusters in terms of development pressure. Using the results of the cluster analysis from a conservation-development perspective, the forest watersheds were classified into nine different types, and the characteristics were identified by each type. It is judged that the factors and clusters drawn as a result of the research accurately reflect the present conditions of Gyeonggi-do, and the nine types of forest watersheds have clear characteristics according to each type, which are judged to be utilized in forest management in the future.

• Journal of the Korean Data and Information Science Society
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• v.5 no.2
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• pp.87-94
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• 1994

In this paper, we consider optimum plan to determine stress change times under the three-step stress PALTs, assuming that each test units follows an exponential distribution. The tampered random variable(TRV) model for the three-step stress PALTs setup are introduced, and maximum likelihood estimators(MLEs) of the failure rate and the acceleration factors are obtained. The change times to minimize the generalized asymptotic variance(GAVR) of MLEs of the failure rate and the acceleration factors are proposed for the three-step stress PALTs.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.299-302
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• 1996

The purpose of this study is developing scheduling logic and program for machining scheduling of automobile part production line with unbalanced processing time. Three rules are developed to minimize slack and effect on other job. Fourth rule is suggested which considered weighted sum of three factors. schedule is generated totally 1, 000 times and then optimal weight parameter is selected. The program is developed to schedule situation to compare with the performance measure, total finish time of machine and total tardiness of part. As a result, the rule which considered weighted sum of three factors is effective for both measure.

• Asia Marketing Journal
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• v.16 no.1
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• pp.117-132
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• 2014

This study examined the use of Facebook in United Arab Emirates. There were two objectives of this study. The first purpose was to identify the motive for the use of Facebook among people in U.A.E. This study conducted the survey using both qualitative and quantitative methods. One hundred eighty-three working people were used from the survey. Thirty-five questions identified from the interviews were used for the questionnaire design in quantitative method. Factor analysis showed six factors namely usefulness, usage, reliability, making new friends, ethical issue and openness of information. The total variance explained by all the factors was fifty-two percent. This study also examined the demographic variables whether they would play an important role in using the social network site. The study included two more variables, income and married status, which were not frequently examined by previous studies. MANOVA showed statistical significant differences (p < .01) across six factors. ANOVA results showed that gender variable affected only the factor of openness of information. Males were more likely to share their information compared to females. Income variable affected all the factors except the openness of information. The results showed that high-income people had the highest meanscores on three factors (usage, reliability, making new friends) while low-income people had the highest means on usefulness and ethical factors.Marital status had significant effects on usefulness, reliability, and ethical factors. Married people had the low scores on reliability and ethical factors. Lastly, education variable had no effect on all the factors examined.

• Human Ecology Research
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• v.60 no.3
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• pp.443-458
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• 2022

Generation MZ, a generic term for millennials and members of Generation Z, is an innovation-leading consumer group in the current market. This study aimed to examine the impact of the ethical consumption tendencies of millennials and Generation Z on the purchase intention of social enterprise fashion products. Data were collected from Generation MZ (15-40 years old) by quota sampling based on the demographic variables of gender, age, and region, respectively. Eight hundred responses were analyzed by descriptive statistics, factor analysis, t-test, and regressions using SPSS software. Three value factors (egoistic, altruistic, and biospheric) and three ethical consumption tendency factors (resource saving tendency, eco-friendly tendency, and consciousness of corporate responsibility) were determined by factor analyses. The results confirmed that women, who showed a higher ethical consumption tendency in all three factors, were more altruistic and biospheric than men. Furthermore, women portrayed a more favorable attitude and purchase intention towards fashion products of social enterprises. The results demonstrated that members of Generation Z were more altruistic and biospheric than millennials. Additionally, the attitude, purchase intention, and willingness to pay premium prices were higher in Generation Z members. It was confirmed that higher biospheric values correlated with greater values for the three ethical consumption tendency factors. The altruistic value affected both the resource saving tendency and eco-friendly trend, while the egoistic value had an effect on the resource saving tendency. Both attitude and purchase intention were positively influenced by all three of the ethical consumption tendency factors, and affected the willingness to pay premium prices. This was subsequently influenced by the resource saving tendency and consciousness of corporate responsibility. The results of this study contribute to understanding Generation MZ as a consumer group, and the establishment of marketing strategies for fashion companies.