Performance of the Information Technology Industry in the world economy
The rapid growth of the Indian Information Technology Industry over the last decade was not simply a product of ‘begin neglect’ following the dismantling of centralized planning in India. Rather, it is rooted in government intervention during earlier years that favored domestic  industries over foreign companies.1 Indian Information Technology (IT) industry has tremendous potential to become an engine of growth and  productivity improvement for all sectors of the economy and for the country. Information Technology (IT) is also a means of efficient governance. It enhances access to information, protects consumers, provides access to government services, makes skill formation and training more effective, improves delivery health services, and promotes transparency. This paper is an attempt to provide an overview of Indian IT today. To assume a familiarity with the various Category/Segments of IT  Industry and its contribution to the Nation’s GDP. However, it also provides an insight into general structure and performance of the IT Industry in India. The remainder of the paper outlines the Growth of Indian IT Industry and Expected Industry Size, and Scenario of Global Growth Rates and Expected Industry Size.
An analysis of IT software and service exports from India
The aims of the paper are to investigate IT software and service export function for India. First, cointegration tests have been used to investigate the long-run equilibrium relationship of the given variables. Second, long-run coefficients and associated error correction mechanism are estimated.,Annual time series data on IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index have been used for the present study during the period 1980–2017. The data are collected from the National Association of Software and Service Companies (NASSCOM), Planning Commission of India, University Grants Commission (UGC) of India, real effective exchange rate (REER) database and World Bank development indicators. Auto regressive distributed lag (ARDL) model is used to analyze both short-run and long-run dynamic behaviour of economic variables with appropriate asymptotic inferences.,Results of the analysis show the stable long-run equilibrium relationship among the given variables. It is found that external demand, exchange rate, human capital and openness index have a substantial long-run impact on the IT software and service exports. We also found that the coefficient of error correction term is negative and significant at 1% of the level of significance, which confirms the existence of stable long-run relationship which means adjustment will take place when there is a short-run deviation to its long-run equilibrium after a shock.,There may be other determinants of software and service exports apart from those considered by the present study. Due to the non-availability of data, the study considers only important determinants that determine the software and service exports in India. The IT exports are an emerging and dynamic field of economic activity and the rate of change is so rapid that the relevance of individual factors may change over time. The study period is also limited to available data.,The paper has implications for achieving sustainability in IT software and service exports growth. It is recommended that policies directed at improving the performance of IT software and service exports should largely consider the long-run behaviour of these variables.,This paper focuses on originality in the analysis of the relationship among the given variables including IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index in India. All the work has been done in original by the authors, and the work used has been acknowledged properly.
Implementing and testing a complex interactive MOLP algorithm
Many business decisions can be modeled as multiobjective linear programming (MOLP) problems. MOLP algorithms seek solutions to these problems by interacting with decision makers to arrive at an acceptable solution. However, due in part to the increasing complexity of these algorithms, and in part to the failure of developers to use graphical user interfaces, testing and comparison of competing algorithms has been minimal. We present herein results of research designed to address this circumstance. Using widely available microcomputer tools, we designed and built a Decision Support System (DSS) capable of running MOLP algorithms, and conducted a field test which asked 98 decision makers to solve a business case using the system. Two algorithms were programmed into the DSS, one a new and more mathematically complex algorithm, and one a previously used benchmark. Results demonstrate that the more complex algorithm was preferred as a decision-making aid over the benchmark. Additionally, results show that users found the DSS equally easy to work with for both algorithms, suggesting that the graphical user interface sufficiently masked the complexity of the new algorithm. This result is encouraging for the possibility of the implementation and testing of increasingly sophisticated MOLP algorithms.