Mapping the research productivity of green computing: a scientometric study

Abstract

Computing technology plays a crucial role in our day to day activities. Subsequently the associated high volume of energy consumption has become a major concern both economically and environmentally. Green Computing is an emerging applications in computing technology that can reduce energy consumption effectively, which leads to significant CO2 emission reduction. Green computing has become an essential component that needs to be considered seriously by the next generation information and communication technology designers. Green computing is to use computers and related resources in environment friendly ways. Such practices include the implementation of energy-efficient central processing units (CPUs), servers and peripherals as well as finding innovative ways of reducing resource consumption and proper disposal of electronic waste. Many IT manufacturers and vendors continuously invest in designing energy efficient computing devices, reducing the use of dangerous materials, and encouraging the recyclability of digital devices and printing paper. Green computing practices were primarily introduced by the Environmental Protection Agency in 1992 with the launch of the Energy Star program. As an emerging topic in IT management, Green IT practices are drawing high interest among IT organizations as well as suppliers, manufacturers and service providers. With the rapid run up of energy costs and a broadening awareness of the impact of global climate change, IT organizations are looking for strategies to offset rising costs and use technology in ways that reduce their environmental impact. By keeping this view in mind, the researcher intends to undertake the study on Mapping the Research Productivity of Green Computing: A Scientometric Study . This study attempts to analyse the performance of researcher working in the field of Green Computing in terms of growth rate, areas of research concentration, authorship pattern, scattering of articles in different sources, and Institution wise distribution.