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EN
In the past few years, wireless devices, including pocket PCs, pagers, mobile phones, etc, have gained popularity among a variety of users across the world and the use of mobile phones in particular, has increased significantly in many parts of the world, especially in India. Cell phones are now the most popular form of electronic communication and constitute an integral part of adolescents' daily lives, as is the case for the majority of mobile phone users. In fact, mobile phones have turned from a technological tool to a social tool. Therefore, the influence of cell phones on young people needs to be thoroughly examined. In this paper, we explore the attitude of young adults towards cell phones and identify the hidden classes of respondents according to the patterns of mobile phone use. The Latent Class Analysis (LCA) serves as a tool to detect any peculiarities, including those gender-based. LCA measures the value of an unknown latent variable on the basis of the respondents' answers to various indicator variables; for this reason, a proper selection of indicators is of great importance here. In this work, we propose a method of selecting the most useful variables for an LCA-based detection of group structures from within the examined data. We apply a greedy search algorithm, where during each phase the models are compared through an approximation to their Bayes factor. The method is applied in the process of selecting variables related to mobile phone usage which are most useful for the clustering of respondents into different classes. The findings demonstrate that young people display various feelings and attitudes toward cell phone usage.
EN
In the existing literature, the theoretical models suggest that foreign-owned firms perform better than domestic firms and that private sector firms perform better than public sector firms. The present study is a modest attempt in this regard to empirically test and compare the differences in the technical and scale efficiencies of 36 public limited companies, private sector firms and foreign firms belonging to the pharmaceutical industry of India using the DEA model. The analysis shows that overall technical efficiency was different in the case of private domestic and public sector firms in the year 1990, i.e., the pre-reform period. The difference was also significant in the case of private foreign and public sector firms, though it was not significant in the case of private domestic and private foreign firms in the pre-reform period. However, in the subsequent post-reform years, there were no significant differences.
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