• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2239-2256
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• 2022

In this paper, a model is proposed to comprehensively evaluate the computational power. The five forces model of computational power solves the problem that the measurement units of different indexes are not unified in the process of computational power evaluation. It combines the bidirectional projection method with TOPSIS method. This model is more scientific and effective in evaluating the comprehensive situation of computational power. Lastly, an example shows the validity and practicability of the model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.371-380
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• 2019

This study was undertaken to analyze the relationship between the Big-five personality factors of undergraduate students and Creativity Convergence Competency. Totally, 511 students attending private colleges in G province were surveyed for their competences. Using the SPSS 22.0 program, all collected data were analyzed by one-way ANOVA, Pearson's correlation analysis, and regression analysis. The following results were obtained. First, personality extraversion and Creativity Convergence Competency differed in all the major factors examined. Second, higher the interpersonal abilities, higher was the ability of core convergence. Third, extraversion and sincerity among the Big-five personality factors were significant predictors of Creativity Convergence Competency. In conclusion, we found that the Big-five personality factors are important to be considered for strengthening the competence of students.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.54-63
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• 2016

As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.

• Journal of Engineering Education Research
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• v.18 no.2
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• pp.43-51
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• 2015

This study had a purpose to analyze the relationship between teamwork skills and Big Five personality factors for engineering students. For the purpose, 43 engineering students attending engineering creative design course were organized 14 teams as NEO personality inventory testing before the course. The teamwork skills for engineering students was improved through engineering creative design course and the correlation between teamwork skills and personality factors for engineering students was low. The heterogeneous personality group had a more improvement in teamwork skills than homogeneous personality group but the effect of group difference was not statistically significant. Further, the result of this study were applied to change the design course and making the teams for improving teamwork skills for engineering students.

• International Journal of Contents
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• v.7 no.2
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• pp.49-58
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• 2011

This study investigates the portrait paintings of the Chosun period and the Death Records of the Chosun-dynasty Sillok in an effort to find new methods to apply to character design. The basis of this study were 42 figures from a group of portrait paintings from the late Goryeo period to the Chosun dynasty of the 25th King, Chul-Jong. First, Chinese letters illustrating the personalities in the Death Records were classified into five groups based on the Big Five theory, which divides personalities into the Big Five Personality Traits of extraversion, agreeableness, conscientiousness, neuroticism, and openness. Secondly, a representative facial image was created through a morphing technique after extracting the portraits using a method that relied on the high frequency of the appearance of specific Chinese letters related to each personality type.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.197-212
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• 2019

The purpose of this study is to identify the maturity stages of venture firms through classification analysis, which is widely used as a big data technique. Venture companies should develop a competitive advantage in the market. And the maturity stage of a company can be classified into five stages. I will analyze a difference in the growth stage of venture firms between the survey response and the statistical classification methods. The firm growth level distinguished five stages and was divided into the period of start-up and declines. A classification method of big data uses popularly k-mean cluster analysis, hierarchical cluster analysis, artificial neural network, and decision tree analysis. I used variables that asset increase, capital increase, sales increase, operating profit increase, R&D investment increase, operation period and retirement number. The research results, each big data analysis technique showed a large difference of samples sized in the group. In particular, the decision tree and neural networks' methods were classified as three groups rather than five groups. The groups size of all classification analysis was all different by the big data analysis methods. Furthermore, according to the variables' selection and the sample size may be dissimilar results. Also, each classed group showed a number of competitive differences. The research implication is that an analysts need to interpret statistics through management theory in order to interpret classification of big data results correctly. In addition, the choice of classification analysis should be determined by considering not only management theory but also practical experience. Finally, the growth of venture firms needs to be examined by time-series analysis and closely monitored by individual firms. And, future research will need to include significant variables of the company's maturity stages.

• Journal of the East Asian Society of Dietary Life
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• v.23 no.4
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• pp.508-518
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• 2013

In this study, the influence of sub-factors of Big Five personality (extraversion, agreeableness, conscientiousness, neuroticism, openness to experience) to job satisfaction and turnover intention, and mediating effect of job satisfaction between Big Five personality and turnover intention were empirically analysed. Also the relationship between job satisfaction and turnover intention was investigated. The sample of this study were customer-contact employees of restaurant among Youngnam province. 243 questionnaires were used for the empirical analyses. According to the empirical analysis results, openness to experience and conscientiousness respectively had positive influences to job satisfaction and turnover intention. Also neuroticism gave negative influence to turnover intention. Another research finding of this study was that mediating effect of job satisfaction existed in the causal relationship of 'openness to experience' and conscientiousness to turnover intention. Managerial implications of the research findings are that restaurant managers are recommended to select employees of having much of conscientiousness and 'openness to experience', and to employ those of having much of agreeableness. In the field of restaurant industry, training is very important for employees to foster these personalities, because this industry does not have environment of hiring employees of having much of these personalities. Also training can be applied to employees of having high neuroticism for minimizing their turnover intention.

• Korean Security Journal
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• no.13
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• pp.487-505
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• 2007

This study is to examine relations between the number of occurrence of big five critical crimes that consist of homicide, robbery, rape, theft, violence and the number of the security companies and the security guards, and between the number of the security companies, the security guards and the number of arrests from the big five critical crimes. To achieve this objective, this research selects a subject of study, the number of the security companies and security guards, and the number of occurrences of the big five critical crimes and arrests of the big five crimes from 1990 to 2005. The selected data are then analyzed according to the variables using SPSS 12.0. Each hypothesis is verified with the level of significance ${\alpha}$=.05 using the statistical techniques such as Correlation Analysis, Regression Analysis, etc. The following is the result of the study: First, the number of occurrences of the big five critical crimes affects the number of the security companies at a significant level. Second, the number of the security companies affects the number of arrests of the big five crime at a significant level.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.306-317
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• 2019

The purpose of this study was to examine the structural relationships among the Big Five personality traits, self-esteem, job satisfaction, and life satisfaction of employees and to investigate how these relationships vary depend on gender. Using data from 1183 employees from the 18th and 19th Korean Labor and Income Panel Study (KLIPS) in 2015 and 2016, we investigate the structural relationships among variables including multi-group path analysis by gender. This study found that openness to experience(${\beta}=.07$), conscientiousness(${\beta}=.19$), and extraversion(${\beta}=.09$) were positively associated with employees' self-esteem while neuroticism was negatively associated(${\beta}=-.09$). Second, only neuroticism among the Big Five personality traits was significantly related to job satisfaction(${\beta}=.08$). Third, conscientiousness(${\beta}=.08$) and agreeableness(${\beta}=.09$) were significantly related to life satisfaction. Fourth, self-esteem positively affected career satisfaction(${\beta}=.31$) and life satisfaction(${\beta}=.29$). Fifth, self-esteem mediated the links between all Big Five personality traits, except agreeableness, as well as job and life satisfaction. Sixth, the effect of extraversion on life satisfaction had differences between male and female. These results imply that self-esteem enhancement program based on the Big Five personality traits should be implemented in order to improve employee's job and life satisfaction.

• Knowledge Management Research
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• v.21 no.4
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• pp.243-263
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• 2020

The purpose of this study is to propose the performance measurement model for open big data platform. In order to develop the performance measurement model, we have integrated big data reference architecture(NIST 2018) with performance prism model(Neely et al. 2001) in the platform perspective of open big data. Our proposed model consists of five key building blocks for measuring performance of open data platform as follows: stakeholder contribution, big data governance capabilities, big data service capabilities, big data IT capabilities, and stakeholder satisfaction. In addition, our proposed model have twenty four evaluation indices and seventy five measurement items. We believe that our model could offer both research and practical implications for relevant research.