NAVIGATING ARTIFICIAL INTELLIGENCE -DRIVEN FINANCE AND SUPPLY CHAINS THROUGH ETHICAL LEADERSHIP: A SYSTEMATIC REVIEW

Anne Drougas
Mohamed Askar
Dominican University
ABSTRACT
The rapid advancement of artificial intelligence (AI) has significantly reshaped both
financial analysis and supply chain management, yet limited research has examined the “ethical
and strategic implications” at their intersection. This study presents a systematic literature review
of peer-reviewed research published between 2015 and 2025 on the application of AI in finance and
supply chain domains, with a particular focus on “ethical leadership” and business analytics. The
authors of this current study synthesized research studies from “leading academic databases” to
map prevailing trends, identify dominant AI techniques, and uncover emerging thematic clusters.
The analysis in this study reveals that while AI is widely adopted for risk modeling, demand
forecasting, and process optimization, its integrated use in areas such as supply chain finance,
environmental, social, and governance (ESG) aligned investments, and ethical decision-support
systems remain underdeveloped. Furthermore, the role of ethical leadership in guiding AI-driven
business analytics is critically underrepresented in literature. The authors identify “key gaps” in
how “ethical considerations” are embedded into algorithmic design, governance, and strategic
implementation. This review offers a comprehensive synthesis to support scholars and practitioners
in developing more ethically aware, data-driven strategies at the confluence of finance, supply chain
operations, and AI innovation.
Keywords: Artificial intelligence, finance, supply chain, risk modeling, demand forecasting, ethical consideration