Variables Impacting the AI Adoption in Organizations

Abstract

This review paper investigates the factors that influence how organizations adopt Artificial Intelligence (AI). It focuses on technological, organizational, human, and external aspects, analyzing the drivers and obstacles to AI integration. Key frameworks such as the Technology Acceptance Model (TAM), Diffusion of Innovations (DOI) Theory, and the Technology-Organization-Environment (TOE) framework are used to understand these dynamics. The paper addresses challenges like technical difficulties and ethical issues, alongside the benefits AI can provide, such as improved decision-making and increased efficiency. It also looks at emerging trends like explainable AI and offers guidance for organizations to use AI technologies effectively. This analysis aims to contribute to scholarly discussions and offer actionable insights, assisting organizations in overcoming the complexities of AI adoption and leveraging its transformative effects.