Exploring Artificial Intelligence Readiness Framework for Public Sector Organizations: An Expert Opinion Methodology

Abstract

Public and private sector organizations are adopting artificial intelligence (AI) to meet the challenges of the fourth industrial revolution. An expert opinion methodology is utilized to investigate an artificial intelligence readiness framework for public sector organizations. The successful implementation of AI is a challenging task, and past research has advocated the need to explore key readiness before AI implementation. This research aims to identify the AI readiness factors that various experts from industries and public sector organizations have explored. Qualitative methodology uses and conducts semi-structured interviews from expert opinion in different public and private industries. NVIVO-12 is used for data analysis, and themes are developed through systematic coding. The main factors identified for AI implementation were related to people's readiness, strategies and policies, process readiness, technology readiness, and organizational environment. All of these factors should be considered before implementing AI in any public sector organization. The findings also indicate a high failure rate, which underscores the need for factors such as AI readiness to aid in the implementation of AI in any organization and mitigate the low failure rate. It will help the management develop an effective strategy for AI implementation in the organization by considering these factors.

Key words: Artificial Intelligence, Readiness, Framework, Public Sector.