Using Pythagorean Fuzzy Analytic Hierarchy Process And Pythagorean Fuzzy Integrated Compromise Solution To Evaluate Benefit Expectations Of Artificial Intelligence In Business

Abstract

Artificial Intelligence (AI) has evolved from a study field to a reality in management. It was evidenced by the fast use of AI technology in enterprises, which has led to more revenue, lower expenses, and enhanced organizational efficiency. Despite this, various organizations are still considering to choose whether or not employ AI The main objective of this study is to determine and evaluate the anticipated benefits of AI adoption. Pythagorean fuzzy analytic hierarchy process (PF-AHP) and Pythagorean fuzzy compromised solution integration (PF-CoCoSo). PF-AHP computes the relative weights of the significant components, whereas PF-CoCoSo evaluates the benefit expectations (BEs) according to their AI deployment. To exemplify the framework's applicability, a case study of Vietnam Telecom Corporation is done. The most important AI technologies to deploy are "Managerial capability and related advantages" followed by "government involvements" "technical capability and vendor partnership for AI adoption" and "compatibility." The developed model is a step-by-step method for business organizations to strengthen their BES using AI technology. Conducting sensitivity analysis to evaluate the effectiveness of the recommended framework. This contributions will assist AI researchers and practitioners by providing suggestions and techniques for measuring AI adoption.