Efficient Prediction,Usage And Productivity Of Information Communication Technology

Information Communication Technology(ICT)has generally spread crosswise over countries,financial sectors and enterprises in the past few decades,with remarkable transformational impacts.In this manner,ICT has accepted a progressively influential part in operational change and socio-economic development.New advanced technologies and applications have been created,in light to fortify well correspondence with the general population,to encourage improvements in associations and to form competitive advantages.We have seen service transfer from a customary business based to modern social networks based,where the innovations delivered for customers have a vast effect.The new advancements and their application in the productive activities initiate changes inside the economic and financial structures and extending labour efficiency and productivity.ICT use prompts development of innovation activities through various channels.Generally,ICT has a fundamental responsibility for the economic and financial advancement,motivating the changes in welfare and desire for ordinary solaces.Adoption of ICT has extended in numerous countries,though,the rate of effective adoption and operation vary from country to country.But ICT successfully utilised in developed countries.However,it’s not clear which developed country leads on ICT performance,and what is the future country for ICT productivity.Thus,recognising the past,identifying the present and predicting the future of ICT performance and productivity will continue to be the challenges unless advanced,efficient strategy methods applied.It’s important to eliminate inefficiencies countries among the developed nations and examination in the way ICT used in the regarded countries while addressing the issue of effective adoption and future ICT utilisation.It should be possible by first direct screening,and selecting a group of countries with high ICT utilises records,and afterwards apply data forecasting methods to predict the future country for ICT performance and productivity.For sustainable development of the ICT sector,this research has applied a hybrid approaches combining Grey and Holt’s forecasting methods with Data Envelopment Analysis(DEA)and Malmquist Productivity Index(MPI)to evaluate the past,current,and predict the future productivity performance of ICT sector among Organization for Economic Co-operation and Development(OECD)members.This study selects a percentage of employment to the population ratio,and investment in ICT as the two input variable factors,and exports of ICT goods,the percentage of a household having access to the internet,and percentage of a household having access to at least one person working computer at their homes as the two output variable factors.Subsequently,historical data(2007-2010)collected from the OECD and International Labour Organization(ILO)database,then the Grey and Holt’s models were used to forecast the future(2011-2020)data for 14 selected OECD members known as Decision Making Units(DMUs).The Mean Absolute Percentage Error(MAPE)value of 8.03%and 10.04%confirms the desired accuracy of the Grey and Holt’s model respectively.Using historical and predicted data,the MPI model employed to assess the ICT-Total Factor Productivity(TFP)performances,Efficiency Changes(EC),Technological Changes(TC),Pure Technical Efficiency Changes(PEC)and Scale Efficiency Changes(SEC)of those DMUs.The simulation results obtained in this study provide insight views into the ICT regarding TFP,EC,TC,PEC,and SEC.These findings also offer awareness into the past-current-future ICT performances to the Globe.Also,to sustain the development of the ICT sector,the research suggested the OECD member states take extra care in the developments of ICT of Spain,Ireland,Italy,Finland,and Denmark.The approaches used throughout the study can help decision and policy makers in developing strategies plan to advance the ICT sector.Indeed,the investors and other joint vendors can use these approaches to discover the good countries for future ICT investments and prepare for the initial investment plans.Moreover,the study will help developing world to make correct judgements on insightful countries to rely on for the future ICT development.Furthermore,the mathematical approaches applied throughout the study reduces the errors and risks in decision-making.Therefore,these approaches can be used in other industries to extend its contributions.Indeed the numerical study guarantee better past-current-future insights through the integration methods,and this work could be used as a better model for performance analysis among the decision-makers of varied industries.