Analyzing the Critical Parameters for Implementing Sustainable AI Cloud System in an IT Industry Using AHP-ISM-MICMAC Integrated Hybrid MCDM Model

This study aims to identify the critical parameters for implementing a sustainable artificial intelligence (AI) cloud system in information technology industry (IT). To achieve this, an AHP-ISM-MICMAC integrated hybrid multi-criteria decision-making (MCDM) model was developed and implemented. The analytic hierarchy process (AHP) used determine importance of each parameter, while interpretive structural modeling (ISM) establish interrelationships between parameters. cross-impact matrix multiplication applied classification (MICMAC) analysis employed driving dependent A total fifteen important categorized into five major groups have been considered this from previously published works. results showed that technological, budget, environmental issues were most AI system. More specifically, digitalization innovative technologies is found be crucial among group all aspects, having highest priority degree strong power. ISM reveals factors are interconnected with other act as linkage barriers. provides valuable insights IT industries looking adopt systems emphasizes need consider economic processes.