مقایسه و رتبه‌بندی عملکرد مالی شرکت‌های مخابرات استانی با رویکرد مدل جمعی تحلیل ‌پوششی‌ داده‌ها و روش کارایی متقاطع

Given the speedy increase of knowledge in today's world, companies have to resort to communication technology so that they may harmoniously adapt themselves with the ever-variating conditions this, in turn, leads to more and more investments in this technology in a rapid pace. This study takes Data Envelopment Analysis (DEA) model to evaluate the financial performance of the provincial telecommunications companies. Data Envelopment Analysis is a nonparametric type linear planning technique to measure the relative efficiency of organizational units. In this paper, the relative efficiency of Iran's provincial telecommunications companies is analyzed based on the input-output relationship of these companies. Firstly, Data Envelopment Analysis (DEA) model was used. Later, Cross-Efficiency Techniques were employed to provide us with the final ranking of the provincial telecommunications companies within the Iranian fiscal year ending in 1388 (2009). Results of this study suggest that telecommunications companies of Isfahan, Tehran and Ghom provinces are the most efficient of all in the rank.