AI adoption: factors that impact organizational readiness.

Abstract

This thesis investigates factors that impact organizational readiness for Artificial Intelligence (AI) adoption, a pressing topic given the rapid rise of AI in various industries. Understanding the important factors that contribute to an organization's preparedness for AI is critical for successful adoption.

The methodology for this research combines a thorough literature review with ten semi-structured interviews with professionals working at three different companies in the financial services sector, within different roles, experienced with the adoption of AI. This approach enabled us to identify key readiness
factors (Trust, Management Support, Data, Skills, Strategic Alignment, Resources, Culture, Innovativeness, Managerial Capabilities, Adaptability, Infrastructure, Competitiveness, Cost, Organizational Structure and Size), with their level of importance for AI adoption and insight as to why they are so.

The research emphasizes the necessity of a holistic approach in adopting AI, highlighting that successful AI implementation requires a synergy of technical capabilities and soft skills, organizational alignment and a way to build trust in AI. This thesis contributes a valuable perspective to the discourse on AI
adoption, providing actionable insights for organizations navigating the AI adoption landscape.

Date of Award	29 Jan 2024
Original language	English
Supervisor	Samaneh Bagheri (Examiner) & Khoi Nguyen (Co-assessor)