The critical determinants impacting artificial intelligence adoption at the organizational level

Abstract

This study aims to investigate the main technological and socio-environmental factors influencing the adoption intentions with regard to AI-based technologies at the organizational level. A conceptual model based on innovation diffusion theory (DOI) and the technology-organization-environment (TOE) framework is proposed and tested empirically using survey-based data collected from 512 senior IT/IS managers in public/private organizations located in Jordan. The results indicate that relative advantage, top management support, cost-effectiveness, competitive pressure, vendor support, compatibility, AI strategic alignment and availability of resources, positively influence the intention to adopt AI-based technologies. The analysis demonstrated that the influence of market uncertainty on adoption intentions is insignificant. It was found that government regulation and complexity negatively influence adoption intentions. The findings of the study would be valuable for AI-based technology providers, IT managers and top management in organizations, and government bodies, in terms of building effective policies to promote the successful adoption of AI-based technologies.