TITLE:
Navigating the Challenges of AI Integration into Business Analytics Platforms for SMEs: A Systematic Literature Review
AUTHORS:
Cihan Yilmaz, Anja Hanisch-Blicharski
KEYWORDS:
Artificial Intelligence, Digital Solutions, Business Analytics, Systematic Literature Review
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.15 No.7,
July
17,
2025
ABSTRACT: This study investigates the growing attention around the integration of Artificial Intelligence (AI) into Business Analytics (BA) platforms within Small and Medium Enterprises (SMEs). The objective is to provide an overview of the existing literature related to this topic, with a systematic literature review, highlighting the challenges and potential benefits of AI integration in SMEs. A central finding is the critical importance of training programs to develop AI competencies which is essential for maintaining competitiveness. However, implementation is often hindered by technical and financial barriers. Additionally, there is a range of opinions regarding the ethical implications and long-term effects of automation. The research indicates that successful AI integration can yield in efficiency gains alongside social and ecological benefits when suitable conditions are established within enterprises. This underscores the necessity for further examination of the impacts of AI on organizational structures, workforce dynamics and ethical standards. The findings offer valuable insights for developing and implementing AI strategies and highlighting the need for empirical studies to better understand the long-term effects of AI integrations.