Investigating the Impact of Green Information Technology on the Performance of Large Organizations (Case Study: Kerman Graduate University of Advanced Technology)

Document Type : Research Article


1 Department of Environment, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran

2 Department of Environment, Kerman, Iran


Large organizations such as universities, face many challenges in managing green and moving toward energy efficiency. Government subsidies, support schemes, and energy support budgets in these organizations in recent decades have led to an inadequate cultural foundation in the organizational force and insufficient attention to how to spend and pay attention to green management. In recent years, with the expansion of automation and electronics infrastructure in universities, electricity consumption has increased. The present study was conducted to investigate the factors affecting green information technology in the Kerman Graduate University of Advanced Technology (KGUAT). First, using field studies and similar research, indicators affecting green information technologies were collected and proposed, and then in order to review the status of indicators and prioritize them using data collection tools through questionnaires and interviews in KGUAT among the staff. Data analysis is performed using SPSS software and Smart PLS model. A total of 13 indicators affecting green information technology management were proposed and based on the prepared questionnaires, focusing on the three objectives of reducing costs, increasing efficiency and improving the quality of statistical analysis were analyzed. The results of the model showed that the fit indices of the model were all in the desired range and can be relied on the model and future organizational decisions with the aim of maximizing the effect of reducing energy consumption in the future. According to the results of management factors, product and process and infrastructure factors affect the efficiency of green management.


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