In this study, we examine and compare the analytical methods of data that are obtained by Internet survey using multi-group question items about practical businesses. We aimed to clarify the method that can derive a suggestion of concrete measures helpful to practical businesses, by applying the following four analytical methods – (1) multiple regression analysis; (2) selection-type multi-group principal component regression analysis; (3) hierarchical principal component regression analysis; and (4) principal component SEM – to actual examples, integrating the characteristics of these analytical methods, and avoiding the multicollinearity problem. As an actual example, we selected an Internet survey targeting the users of a company of third party payment service provider in the Internet trading. As a result of the examination and comparison of analytical methods based on the actual example, it was clarified, from the practical viewpoint of practical businesses, it is possible to derive a proposal based on the analysis result, that the (2) selection-type multi-group principal component regression analysis or (3) hierarchical principal component regression analysis was useful.

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[in Japanese]

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This research uses bibliometric citation network analysis over a large amount of academic literature, in order to clarify the knowledge structure in the field of security. The analysis comprises the growing of the knowledge structure of security for the years 2000, 2005, 2010 and 2015, mainly focusing on top 10 countries, organizations, and research themes. The results show that there has been a surge in research related to National Security and Cyber Security, which comprise the majority of academic papers in the field, revealing a tight structure that has become a major research area. The United States (US) has played the leading role in the field, by the number of organizations involved, however in recent years the influence of the US is in the middle of a declining process. On the contrary, the Chinese presence has increased.

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[in Japanese]

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[in Japanese]

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