A P-Robust Stochastic Dea Model For Enterprise Architecture Scenario Selection

Enterprise architecture (ea) is the most suitable approaches intended to assist companies in achieving their long-term objective. meanwhile, establishing ea in an organization is a costly and time-consuming task. we can analyze the ea scenarios using famous it governance frameworks to achieve it and business alignment. in this paper, we propose a new analytical approach for selecting and ranking ea scenarios according to the criteria of a well-established it governance framework, namely cobit. we propose a new group-based analytical approach based on a novel dea model combined with p-robust technique.