2016, Vol.12, No.12

Crisisonomy 2023 KCI Impact Factor : 0.64

pISSN : 2466-1198 / eISSN : 2466-1201
https://journal.kci.go.kr/cemtp

This study reviewed the research trend of crisis management policy, focusing on the literature published in Crisisonomy during the last 10 years. We analyzed 212 articles on crisis management published in this journal from 2005 to 2015, which is expected to provide a direct insight into up-to-date research focus and method and directions for the future research trends. The results are as follows. First, the proportion of articles addressing policy orientation, particularly policy diagnosis and suggestions, has increased overtime. Second, in terms of research methodology, the number of articles employing statistical analysis or case studies has increased. The results provided a few research suggestions for Crisisonomy researchers such as establishing the groundbreaking theory for crisis management and policy, utilizing the study results in actual policy evaluation, and analyzing quantitative data for a case study.

The study is designed to elaborate the effectiveness of Building Information Modeling (BIM) in regard to its financial benefits and risk management. BIM has been widely analyzed by the previous literature, but its specific effectiveness has not been assessed and its utilization for risk management is at its infancy. Therefore, this study identifies barriers in conducting the BIM studies and articulates possible outcomes of the actual BIM-based construction project. Overall about 20 domestic and international projects are assessed and about 50 literature is reviewed to detail the benefits and risks of using BIM in real projects. It is found that BIM brings benefits in communication, time-saving and return-on-investments. In addition, some cases have reported that BIM creates positive aspects for risk management against human accidents and natural disasters in construction sites.

This study looking at the results are as follows. First, Looking at the Impact Factor of China’s financial industry, 2007 was a water production and supply manufacturing is 1.170069, electricity production and supply manufacturing is 1.115053, communications equipment, computers and other electronic equipment manufacturing industry is 1.080031, that distributed from 1.080031 to 1.170069. A general increase in the change in the width of the impact factor compared to 2007. Second Looking at the sensitive Factor of China’s financial industry, 2007 was the financial industry is 1.957427, rental service industry is 1.359269, paper and printing supplies manufacturers munbang is 1.261815, that distributed from 1.261815 to 1.957427. Whereas in 2012, it can be seen that the overall sensitivity factor also increases the width change compared to 2007.