Abstract
Despite clear articulation of climate-related goals and greenhouse gas reduction strategies, translating these targets into effective organisational action remains a persistent challenge. This paper investigates the potential of game theory, serious games, and artificial intelligence (AI) to enhance strategic learning and decision-making in organisational decarbonisation. Drawing on an integrative review of literature spanning sustainability transitions, behavioural theory, game-based learning, and AI-enabled decision support, the study critically examines how decarbonisation challenges are conceptualised and addressed in complex organisational settings. It identifies limitations of traditional information-based and incentive-driven approaches and highlights the untapped potential of interactive and AI-assisted tools to improve decision-making. By synthesising disparate literatures, the paper provides a conceptual framework that bridges strategy, behavioural insights, and technological innovation. The framework offers a foundation for future empirical research and the design of decision-support interventions aimed at accelerating low-carbon transitions within organisations. This study contributes to advancing both theory and practice by demonstrating how digital and game-based approaches can transform organisational decarbonisation strategies into actionable, data-informed, and adaptive pathways toward sustainability.