The interviews were mainly focused on gathering customer information of companies in the disaster safety industry. 29 Table 9 Summary of general indices for disaster safety industry networks and sub-.
Introduction
Background
The promotion strategy for the disaster safety industry of the master plan includes a sub-task to expand the role of the private sector in the safety field. It is very positive that a survey is being conducted that aims to find the necessary data for the development of the disaster safety industry.
Purpose of the study
Literature Review
The private sectors in the disaster management
This allows effective disaster safety management to be achieved through the participation of the private sector (Abou-Bakr, 2012). Therefore, the private sector can act as a bridge that bridges the gap between the government and the public.
Industrial classification of the disaster-safety industry
Hari (2016) argued that the government and local authorities should design and use a more effective framework to enhance the capacity of the private sector. Oh's study suggested that the diagnosis of the safety industry should be strengthened through cooperation between the government and the private sector, and argued that support for the disaster safety industry should be strengthened by establishing a legal system base (Oh, 2016, p.
Social network analysis
Lee and Na (2013) analyzed the network structure of the wind energy industry using social network analysis. Lee (2014) analyzed the characteristics of the production and supply networks of the online game industry.
Methodology
Study design
According to the exhibition secretariat, a total of 230 organizations participated in K-safety expo 2016. The first part, general company information, included two questions which were necessary to determine the size of the company. In this part, the number of employees and sales of the company last year were asked.
It was asked whether the company was then only in the field of accident safety or also in another industrial field. When the company replied that it was also in another industry, they were asked if disaster safety was the main business part of the company. If the company's industrial origin was not the disaster safety industry, the interviewer also asked which sector the company came from.
Further questions were also asked to find out which parts of the company could be classified by the Korean Standard Industrial Special Classification of Disaster and Safety Industry. The interviewer asked for the names of organizations where the company trades, and confirmed the type of main trading organization. The R&D status was asked, and how the company conducts research and development was asked if the company answered that it conducts research and development.
Social Network Analysis
However, node 'C' does not affect node 'D', because links do not extend from node 'C' to 'D'. In another graph, the undirected graph, every link connects both nodes equally, and the path from node 'D' to node 'C' and the path from node 'C' and node 'D' are theoretically identical. To understand the structure of the networks through an objective index, the center of the eigenvector was used.
The eigenvector centrality is appropriate when degree differences occupy an important position or indicator in the network (Bonacich, 2007). The calculation of eigenvector centrality measures the importance of a node in a network based on its connections. This study tries to find the important organizations or industry types of the disaster safety industry, so the use of the eigenvector centrality is expected to be useful for industry analysis.
The eigenvector centrality calculation process includes a normalization process, so that the maximum eigenvector centrality of a network is normalized as 1. Since the eigenvector centrality value is already normalized, the eigenvector centrality values in different networks can be easily compared. In other words, the importance of the same node in different networks can also be easily compared using the eigenvector centrality values.
Results
Characteristics of Disaster-safety industry of Korea
The number of companies responding in the fire safety, living safety and safety sectors is approximately ten each. Companies in the field of life safety are concerned with various areas and not with one specific area of life safety. Due to the lack of these samples, these parts will not be mentioned much in the rest of the article.
35 companies (39% of responding companies) answered that they are only in the disaster safety industry. As expected, many companies are involved in various industries, not just in the disaster safety industry. This means that the disaster safety industry has high accessibility and low entry barriers from other industry fields, so proper support and policies can increase the number of companies involved in the disaster safety industry.
The main customers of companies in the disaster safety industry were found to be businesses (53 responses) and government agencies (45 responses), including public utilities. Contrary to expectations, there is not much difference between the number of responses reporting business and the number of responses reporting government agencies/public enterprises. These results are interesting because, in general, the main customers in the disaster safety industry are thought to be government agencies and public enterprises.
Structural characteristics of Disaster-safety industry networks of Korea
The interpretation of the network is performed based on the value of the eigenvector centrality, and the client types at the important positions are found. In Figure 6, the green color nodes indicate companies involved in natural disaster prevention, and the purple color nodes indicate companies involved in industrial/construction safety. The trade network between industrial/construction safety companies and their types of trade customers.
Eigenvector centrality values by industry type from the trade network between companies in the industrial/construction field and their trade customer types. In the case of subdivision for the prevention of natural disasters, there are not many requests from private companies. Trade network between companies in the field of natural disaster prevention and their types of trade customers.
Eigenvector centrality values by industry type from the trade network between natural disaster prevention companies and their trade client types. The trade network between road safety companies and their types of trade clients. Eigenvector centrality values per industry type from the trade network between road safety companies and their trade client types.
The trade network between companies in the fire safety field and their trade customer types. Eigenvector centrality values by industry type from the trade network between companies in the fire safety field and their trade customer types.
Discussion
However, as expected, in the case of traditional natural disaster prevention, the importance of public institutions in the network was overwhelmingly high, and further research to find a way to increase the demand for natural disaster prevention in private industries should be done. This supports the need for high-value-added service industries and the high-tech industry in the disaster safety industry whose importance has been raised in previous research. In the data used in this study, there are many wholesalers and manufacturers in the fire safety subdivision.
This made it difficult to understand the industrial structure of the fire safety department through the network analysis, and further research in the field of fire safety will be needed in the future. In the disaster safety sector as a whole, transactions with the services sector appear to have been relatively low. In order to broaden the market of the disaster safety industry, there is a way to broaden the market by focusing on industrial fields that are not actively involved in ongoing transactions, for example, the service sector, as mentioned.
However, since the size of the domestic market is not so large, it is necessary to make an export promotion policy, as has been suggested in a lot of previous research. The interviews in this study also point to the importance of exports, because many interviewed companies mentioned exporting as a desired transaction in the future. Summary of overall indices for the disaster safety industry networks and its subdivisions.
Conclusion
Considering that the companies in the disaster safety industry generally do not interact well with the service sector, it is necessary to find out the role of the disaster safety management industry that the service sector needs. The outcomes of this study are expected to help researchers to more deeply understand the current state of the Korean disaster safety industry and broaden the application of social network analysis to industry analysis. First, there is a disconnect between companies in the disaster safety industry and between customers; this limitation is due to the way data is collected. Secondly, further analysis is needed from the business perspective, for example by adopting concepts such as supply chain, to find the way to grow the disaster safety industry more directly.
Comparative analysis of certification between performance of disaster safety technology and business continuity management system (BCMS). Retrieved December 5, 2016, from https://www.gdrc.org/uem/disasters/dm-privatesector.html Hong, H. Network Analysis on Production and Flow of Science and Technology Information. amp; Knowledge: Focused on Hyperlink of Information &. The survey on the research trend in social network analysis and its applicability to information science.
Analysis of network structure in the wind power industry using social network analysis - Focus on Honam Economic Region. Current Status and Improvement Direction of the Korean Standard Industrial Special Classification of Disaster and Safety Industry. A study of characteristics of prime contractor networks for public construction projects social network analysis.
