A Digital Transformation (DT) Model for Intelligent Organizational Systems: Key Constructs for Successful DT

Abstract

Intelligent organizational systems or intelligent organizations are being created through processes of digital transformation (DT) that typically involves intelligent technologies such as robotic process automation (RPA), the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), blockchain, drones, virtual reality (VR), 3D printing, big data and big data analytics (BDA). However, there is the significant problem of high DT failure rates with severe financial losses. Thus, understanding the key constructs for DT success in terms of organizational performance is an essential knowledge requirement and was the research problem and knowledge gap addressed by the study. The study followed an integrative literature review method since the purpose was analysis and synthesis for research model development. The study exposed the key constructs for successful DT in terms of organizational performance, namely organizational performance, sustainability, information technology (IT)/digital capability, change management, dynamic capabilities and risk management. This knowledge enables DT management to effectively manage DT toward success. For DT and related scientists, the study establishes the foundations for measuring DT and the associated organizational performance and facilitates DT theory progression and new knowledge generation.