“F-M-C-G Matrix” A tool for cross-country analysis of personal traits

At present time we live in the era of global village, where the cultural dynamics affects the dissension making strategies of the corporates and the government. These dynamics are the byproduct of the cultural traits which are inherited by the people of a particular country or a geographic region. Hence the researchers in this paper try to establish a real-time relationship between the personal traits and associated culture of that country. This research is a descriptive study of two factor analysis theory based on secondary data availed from Geert Hofstede dimensions of national culture . Inspired by him the matrix designed is based on the secondary data available from the different sources. The FMCG matrix tried to include the important traits of individuals which may assign a specific feature to that country. The matrix is composed of two major Traits, each of these traits are further divided in to two parts, which generates four major groups. These are (a) Shared values, which is analyzed under two cultural traits i.e. Masculinity (M) as strong cultural value for Work and Feminine (F) as Weak cultural value for work. And (b) Shared group Goals, which is also analyzed under two cultural traits i.e. Group goal (G) as Hard culture and self Centered (C) goals as Soft culture. These major groups are further divided in to twelve sub groups, and it ends with 24 treatments. As per the treatments each country can be reviewed and hence a specific strategy can be applied to get the best result from the population. The total numbers of countries taken for research are fifty, and each of those is assigned one of the above groups as per the personal traits. This is a conceptual research; the statistical tools used to analyze and differentiate the countries as per the individual traits of average people. This paper try to give a basic knowledge on present cross country dynamic of different countries, which may facilitate the Government, corporate and others to evaluate their strategies in specific to traits.