• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.137-144
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• 2018

The purpose of this study is to examine the effects of undergraduates' Big 5 personality on entrepreneurship. Particularly, this author has verified if immersion and self-efficacy have mediating effects in it. According to the results, first, undergraduates' Big 5 personality are found to exert effects on entrepreneurship. Second, there is difference found in the influence of Big 5 personality on self-efficacy. Third, Big 5 personality and a parameter, self-efficacy, have all significant influence on entrepreneurship. Also, in all the models, the parameter of self-efficacy has partly mediating effects in correlation between Big 5 personality and entrepreneurship. Based on these results, this researcher here suggests implications and provides suggestions for follow-up research.

• The Journal of the Korea Contents Association
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• v.10 no.7
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• pp.386-395
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• 2010

This study aims to find the influential relation amongst Big 5 personality factors, job involvement and customer orientation of hotel employees and to provide methods to develop their personality factors suitable for a organization Firstly, detailed verification findings of regression analysis on Big 5 personality factors and job involvement were suggested as following; Job attachment of hotel employees influenced their extroversion and friendliness. Also, sincerity and stability had significant effects on job responsibility and task significance had significant. Secondly, regression analysis was performed to identify the results of job involvement and customer orientation and the detailed verification results are as following; Satisfaction of customers' needs had significant effect on job attachment and job responsibility. In addition, service for response to customers' contacts meaningfully influenced job responsibility and task significance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.209-220
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• 2020

This study aimed to analyze characteristics of banker's personality who were engaged in five commercial banks (KB Kookmin Bank, Shinhan Bank, Woori Bank, KEB Hana Bank and NH Nonghyup Bank) with Big5 personality traits and also, investigate the influence of personality traits on entrepreneurial intention and digital media utilization capability, especially based on preceding research. Also, it analyzed mediated effect of digital media capability between Big5 personality traits and entrepreneurial intention. First, the analysis results of the influence of Big5 personality traits on the entrepreneurial intention showed that extroversion, openness had positive impact on the entrepreneurial intention but sincerity had negative impact on the entrepreneurial intention. Second, the friendliness, sincerity, openness had positive impact on contents utilization capability while openness had positive impact on the communication utilization capability. Third, the influence of communication utilization capability on the entrepreneurial intention was positive. Fourth, the mediated effect of digital media capability between Big5 personality traits and entrepreneurial intention discovered that the communication utilization capability mediated the openness and entrepreneurial intention. It's required to look for the bankers with extroversion, openness that positively influenced entrepreneurial intention and carry out systematic, practical entrepreneurship education to help set up actual business after retirement. This study successfully derive conclusion that it's in urgent need to improve entrepreneurship education program so that the bankers could strengthen their communication utilization capability and improve their capability to gather various information through entrepreneurship education and furthermore, create new value followed by starting their own business.

• Management & Information Systems Review
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• v.36 no.5
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• pp.85-98
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• 2017

The purpose of this study is to exploratory examine the structural relationships among meaningfulness of work, personality(Big 5 character-types) and job stress. To conduct such examination, the author (i) designated meaningfulness of work, personality(Big 5 character-types) and job stress as variables and (ii) designed a research model by conducting preceding studies on the variables. To examine the research model the author collected the survey data from the residents in Kyoungsangbuk-do, 332 copies of questionnaire. Collected data were analyzed using SPSS and AMOS programs. The analysis results are as follows. Especially, (1) the meaningfulness of work had a positive effect on agreeableness, conscientiousness, and extraversion. (2) the meaningfulness of work had a negative effect on neuroticism. (3) the meaningfulness of work had no effect on openness to experience. (4) the neuroticism factor had a positive effect on psychological job stress and physical job stress. (5) the openness to experience had a negative effect on psychological job stress and physical job stress. (6) the meaningfulness of work had no effect on psychological job stress and physical job stress. The implications and limitation which this study are as follows. First, this study has discovered that there was statistically significant relationship between the meaningfulness of work and Big 5 character-types. Second, Big 5 character-types(neuroticism, openness to experience) had statistically effect on psychological job stress and physical job stress. This study have limitation in that was conducted based on cross-sectional design of research. Because, the mechanism of job stress is a dynamic process.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.207-218
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• 2018

Recently, it becomes a big trend in the banking industry to apply a big data analytics technique to extract essential knowledge from their customer database. Such a trend is based on the capability to analyze the big data with powerful analytics software and recognize the value of big data analysis results. However, there exits still a need for more systematic theory and mechanism about how to adopt a big data analytics approach in the banking industry. Especially, there is no study proposing a practical case study in which big data analytics is successfully accomplished from the marketing perspective. Therefore, this study aims to analyze a target marketing case in the banking industry from the view of big data analytics. Target database is a big data in which about 3.5 million customers and their transaction records have been stored for 3 years. Practical implications are derived from the marketing perspective. We address detailed processes and related field test results. It proved critical for the big data analysts to consider a sense of Veracity and Value, in addition to traditional Big Data's 3V (Volume, Velocity, and Variety), so that more significant business meanings may be extracted from the big data results.

• Journal of the Korean Data and Information Science Society
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• v.24 no.5
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• pp.959-974
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• 2013

We investigate the roles of statistics and statisticians in the big data era. Definition and application areas of big data are reviewed and statistical characteristics of big data and their meanings are discussed. Various statistical methodologies applicable to big data analysis are illustrated, and two real big data projects are explained.

• Journal of Distribution Science
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• v.13 no.9
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• pp.5-11
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• 2015

Purpose - The purpose of this research is to provide insights that can be used for deliberate decision making around challenging big data investments by measuring the economic value of such big data implementations. Research design, data, and methodology - We perform empirical research through an event study. To this end, we measure actual abnormal returns of companies that are triggered by their investment announcements in big data, or firm size information, during the three-year research period. The research period targets a timeframe after the introduction of big data at Korean firms listed on the Korea stock markets. Results - Our empirical findings discover that on the event day and the day after, the abnormal returns are significantly positive. In addition, our further examination of firm size impacts on the abnormal returns does not show any evidence of an effect. Conclusions - Our research suggests that an event study can be useful as an alternative means to measure the return on investment (ROI) for big data in order to lessen the difficulties or decision making around big data investments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3760-3768
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• 2015

This study was to examine the correlation of Personality and EEG. Personality test and EEG of the 40 team leader of a business enterprise were carried out at the same time and the correlation of test results were analyzed. Personality test was done by Big 5 and brain waves were measured by 2-Channel EEG System at Fp1 and Fp2. The analysis showed a positive correlation between the Big 5 agreeableness and SRQ(Self Regulation Quotient) relaxation status which is related with alpha rhythm, and showed a negative correlation between the Big 5 openness and SRQ concentration status which is related with low_beta rhythm. It means that the personality is closely correlated with human brain cortex activation and can be checked by brainwave analysis.

• Culinary science and hospitality research
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• v.24 no.2
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• pp.87-95
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• 2018

This study investigates the relationship between Big 5 personality factors of food service employees and turnover intention and identifies the moderating effects of satisfactory parent-child relationship. A total of 179 data were subjected to frequency analysis and regression analysis. Participants were instructed to take an on-line survey which is google survey from August to October in 2017. The results of this study demonstrated that Big-5 personality factors excepted openness to experience influence on turnover intention. Furthermore, the parent-child relationship affects the relationship between Big-5 personality factors and turnover intention. This study may contribute to new data to human resource management.

• Smart Media Journal
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• v.4 no.3
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• pp.56-61
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• 2015

Although many successful cases regarding big data have been reported, building information systems of big data is still difficult. From the perspective of technology the builders need to understand the whole process of systems development ranging from collecting, storing, processing, and analyzing data to presenting and using information. Whereas, from the perspective of business, the builders need to understand the values of the proposed big data project and explain to top managers who have to make a decision of the risky investment. This study proposes a framework of 5W 1H that can help the builder understand things related to the development of big data information systems. In addition, big data cases from the real world have been illustrated by applying to the framework. It is expected to help builders understand and manage big data projects and lead managers to make better decisions of the investment to the development of information systems.