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

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. 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 the Smart PLS model. A total of 13 indicators affecting green information technology management were proposed. Based on the prepared questionnaires, focusing on reducing costs, increasing efficiency, and improving statistical analysis quality were analyzed. The model results 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 to maximize 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.