Adoption of artificial intelligence

: critical success factors in German small and medium-sized enterprises : an analysis using the TOE framework

Abstract

This thesis aims to identify and analyze the critical success factors (CSFs) for the adoption of artificial intelligence (AI) in German small and medium-sized enterprises (SMEs) using the Technology-Organization-Environment (TOE) framework. Despite their crucial role in the economy, German SMEs lag in digital transformation, necessitating a deeper understanding of AI integration challenges and enablers. The research employs a qualitative methodology, including a comprehensive literature review and semi-structured interviews with 16 experts from various industries. The main results indicate that the availability and quality of data, technological infrastructure, and system compatibility are crucial technological success factors. On the organizational level, factors such as top management support, a culture of innovation, and readiness are critical. Last, environmental factors are regulatory and legal requirements, competition and market pressure, and ethical and moral considerations. The limitations of this thesis include the selection of literature and interview participants, which may not comprehensively represent all stakeholders within SMEs, and the rapidly evolving nature of AI technology, meaning the findings only capture a specific moment in time. This thesis is useful for researchers and practitioners in the fields of business management, information systems, and innovation studies. It provides a foundation for understanding the critical success factors for AI adoption in SMEs, offering valuable insights for enhancing competitiveness and innovation in these enterprises.

Date of Award	28 Jun 2024
Original language	English
Awarding Institution	Universidade Católica Portuguesa
Supervisor	Duarte João Ferreira (Supervisor)