Smart production systems drivers for business process management improvement
Maciel M. Queiroz, Samuel Fosso Wamba, Márcio Cardoso Machado, Renato Telles
Abstract
Purpose The Industry 4.0 phenomenon offers opportunities and challenges to all business models. Despite the literature advances in this field, little attention has been paid to the interplay of smart production systems (SPSs), big data analytics (BDA), cyber-physical systems (CPS), internet of things (IoT), and the potential business process management (BPM) improvements. This study aims to identify the main drivers and their implications for improved BPM. Design/methodology/approach This study employed a narrative literature review of studies concerning smart-production-systems-related issues in the context of Industry 4.0. Findings The study identified 26 drivers from the literature associated with SPSs that have an impact on improved BPM. These drivers are presented in an integrative framework considering BDA, CPS, and the IoT. Research limitations/implications The framework's component integration is yet not tested. However, this study offers a significant theoretical contribution by presenting drivers that can be utilised to develop constructs, exploring critical factors related to the interplay of SPSs and improved BPM, and shading light on Industry 4.0's main elements. The study also makes suggestions for further research. Practical implications The proposed framework, with its 26 drivers, provides insights for practitioners and decision-makers interested in gaining an in-depth understanding of the complexities of SPSs and improved BPM. Originality/value This study integrates BDA, CPS, and IoT into a framework with 26 drivers associated with SPSs to improve BPM.