Critical Success Factors for Adopting AI technology and Benefit expectation in Vietnamese AI sector
This study's goal is to identify and rank the benefits expected from AI adoption. Pythagorean fuzzy analytic hierarchy process (PF-AHP) and Pythagorean fuzzy integrated compromised solution (PF-CoCoSo). PF-AHP calculates the relative weights of the important factors, while PF-CoCoSo ranks the benefit expectations (BEs) based on their AI deployment. A case study for Vietnam Telecom Corporation is conducted to demonstrate the framework's applicability. "Managerial capability and related advantages" are the most crucial AI technologies to embrace, followed by "government involvements", "technical capability and vendor partnership for AI adoption", and "compatibility." The proposed framework is a step-by-step approach enabling business enterprises to leverage AI technology to improve their BEs. Sensitivity analysis is used to evaluate the proposed framework's efficiency.
Steps to reproduce
Stage 1: Identification and finalization of the most common critical factors AI technologies adoption and BEs derived due to adoption of AI technologies. Stage 2: Calculate the major criteria and sub-criteria weight. Stage 3: Ranking the BEs derived due to adoption of AI Technologies.