Digital Twin (DT) technology has emerged as one of the most transformative innovations in Industry 4.0, enabling organizations to create virtual replicas of physical assets, processes, and systems. These digital counterparts support real-time monitoring, predictive analytics, and optimization. While early research has focused on technical implementation, the theoretical foundation for DT adoption in business processes remains underexplored. This paper presents a structured theoretical study of digital twin adoption through the lens of socio-technical systems theory, dynamic capabilities, process reengineering theory, and decision-support systems. A Digital Twin Adoption Framework for Business Processes (DTAF-BP) is proposed, describing adoption stages and critical enablers. Figures, process diagrams, and detailed component explanations are provided. The study concludes with future research possibilities, limitations, and practical implications.