Human-AI collaboration for strategic decision-making in global organizations

Abstract

Purpose: to explore the role of artificial intelligence (AI) in supporting strategic decision-making within global organizations in order to enhance the quality and sustainability of decisions.

Method: this study adopts a qualitative approach through a systematic literature review. Data are collected from relevant journal articles, books, corporate reports, and academic publications. The analysis is conducted thematically to identify the roles of AI, success factors, challenges, and research gaps, and to synthesize findings that can inform the development of a conceptual framework for AI implementation at the global level.

Findings: AI enhances decision quality, operational efficiency, and organizational agility; however, final decisions still require human judgment. The successful integration of AI is influenced by data quality, organizational readiness, managerial support, and human competencies. Key challenges include algorithmic bias, ethical concerns, and differences in cultural and regulatory contexts.

Implications: integrating AI enables global organizations to enhance the quality of strategic decision-making and improve their responsiveness to market dynamics. A hybrid human–AI approach helps minimize bias risk and strengthen sustainable competitive advantage.

Originality: lies in a holistic approach that integrates the role of AI, managerial context, and cross-cultural dynamics in strategic decision-making within global organizations, while also highlighting hybrid human–AI mechanisms and risk management aspects that have been rarely addressed in previous literature.