Digital Twin: From Concept to Practice

Recent technological developments and advances in artificial intelligence (AI) have enabled sophisticated capabilities to be a part of digital twins (DTs), virtually making it possible introduce automation into all aspects work processes. Given these possibilities that DT can offer, practitioners are facing increasingly difficult decisions regarding what select when deploying practice. The lack research this field has not helped. It resulted the rebranding reuse emerging such as prediction, simulation, AI, machine learning (ML) necessary constituents DT. Inappropriate selection result missed opportunities, strategic misalignments, inflated expectations, risk being rejected hype by practitioners. To alleviate challenge, paper proposes digitalization framework, designed developed following design science (DSR) methodology over period 18 months. framework help an appropriate level sophistication weighing pros cons for each level, determining evaluation criteria twin system, assessing implications selected on organizational processes strategies value creation. Three real-life case studies illustrated application usefulness framework.