not too many works related to the productivity analysis of different sectors in
India using DEA analysis. Some of the prominent works related evaluation of
financial performance of the firms in some particular sectors has been analyzed
and on the basis of these studies the problem statements have been identified.
(1994) evaluated the organizational efficiency resulting from IT investment
using data envelopment analysis and observed that two-third of the
organizations in his research were deemed as efficient.
and Tzeng (2012) evaluated the IT companies in S&P index based on the
financial reports of fiscal year 2010 and demonstrated that F5 network of
companies should be the communication equipment companies of IT worthwhile to
Teymouri and Isazadeh (2016) studied how the rate of
IT use by manufacturing firms affects the firm’s productivity in Iran economy
and concluded that increasing investment on IT by manufacturing firms in
Iranian’s economy will increase the productivity of the firms.
Liang and Zhu (2006) used DEA nonlinear programming model to evaluate the
impact of IT on multiple stages along with the information on how to distribute
the IT related resources so that efficiency can be maximized.
Hoe , Siew
,Fai (2016) used a ?nancial ratio based DEA model to evaluate and compare the
?nancial performance of the listed technology companies in Malaysia stock
market. The results of this study show that ELSOFT, GTRONIC, KESM, MPI and VITROX
are ranked as ef?cient technology companies since they manage to achieve 100%
ef?ciency score. In this study, the overall output weights in the maximization
of ef?ciency of the technology companies is mostly contributed by EPS, followed
by ROE and ROA. . On the
other hand, the overall input weights in the maximization of ef?ciency of the
technology companies is mostly contributed by debt to equity ratio, followed by
debt to assets ratio and ?nally current ratio.