• Fire Science and Engineering
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• v.27 no.2
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• pp.18-24
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• 2013

Goverment and enterprises have been devoting a lot of dffort in order to prevent the loss of human and property due to a large, diversified fire, explosion, global warming and disasters caused by natural phenomena. But Enterprises came forward and running in the economy priority policy for profit-seeking until now in order to meet the macro purpose of quality improvement of national life and welfare promotion in company with National growth, as a result of lax risk management have had to endure the loss of precious lives and property. According to the '2007 Survey of public safety for the activation of the safety culture' of National Emergency Management Agency [NEMA], a insensitivity of safety in our society was surveyed 'a serious level'. In this study, surveyed need of 'step-by-step fire protection safety management system builds' in order to prevent fire safety accident and improvement of safety awareness level through a systematic management and real condition estimation of not only large business that can control risk management, but also small business that has a big risk to occur accident easily according to small budget and organization.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.155-164
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• 2024

This study examines whether startup firms start with the resources they already have and expand the resources they can mobilize in the process of business management (Effectuation Model) using public data provided by the government. The results of the study show that the Effectuation Model can partially explain the behavior of early-stage startup firms. Therefore, in terms of policy implications based on these findings, government policies for entrepreneurship should not be based on the selection of companies based on sophisticated business models and hypothetical profit models, but rather on a system that actively supports entrepreneurship in areas that are challenging, even if they seem somewhat reckless at the moment, or that best match the entrepreneur's knowledge. Next, in order to actively spread entrepreneurship, it is necessary to spread business history or entrepreneurial experience. To this end, it is necessary to drastically change the current financial system for startups, where the founder bears all the financial risk, and to more actively consider ways to reduce the risk of startups by allowing society and the financial system to share some of the risk of startups.

• The Korean Journal of Applied Statistics
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• v.27 no.4
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• pp.577-588
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• 2014

The collection and storage of a large volumes of data are becoming easier; however, the number of variables is sometimes more than the number of samples(objects). We now face the problem of dependency among variables(such as multicollinearity) due to the increased number of variables. We cannot apply various statistical methods without satisfying independency assumption. In order to overcome such a drawback we consider a categorizing (or discretizing) observations. We have a data set of nancial indices from banks in Korea that contain 78 variables from 16 banks. Genetic sequence data is also a good example of a large data and there have been numerous statistical methods to handle it. We discover lots of useful bank information after we transform bank data into categorical data that resembles genetic sequence data and apply bioinformatic techniques.