Business Process Management and Optimization Strategies
Summary
Business Process Management (BPM) encompasses the systematic design, execution, monitoring and improvement of an organisation’s processes to achieve strategic objectives and operational excellence. Rooted in a lifecycle of process identification, modelling, analysis, implementation and continuous refinement, BPM seeks to align people, technology and information flows to drive efficiency, agility and value creation. Optimisation strategies range from incremental methodologies such as Lean and Six Sigma to more radical interventions including process re-engineering and digital transformation. Recent advances emphasise data-driven approaches—process mining and real-time analytics—that uncover hidden inefficiencies and enable predictive monitoring. Meanwhile, the integration of emerging technologies such as machine learning, robotic process automation and cloud-native architectures has catalysed explorative BPM, empowering organisations to innovate entirely new process variants. The global significance of BPM is reflected in its application across sectors from manufacturing and healthcare to finance and public services, where practical case studies demonstrate reductions in cycle times, cost savings and enhanced customer experiences. Contemporary research further explores the resilience of processes under exogenous shocks, highlighting adaptive strategies for governance and continuous maturity enhancement.
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Business Process Management and Optimization Strategies publication trend
The graph below shows the total number of articles in business process management and optimization strategies across all publications each year (not limited to Nature Index journals).
Technical terms
Business Process Management (BPM): A disciplined approach to improving organisational processes through lifecycle stages of design, execution, monitoring and continuous enhancement.
Explorative BPM: A variant of BPM that emphasises the creation of novel processes by integrating emerging technologies and market insights to generate new value propositions.
Maturity Model: A structured framework for assessing the capability and performance of processes or practices, often represented as levels to guide continuous improvement.
Exogenous Shock: An unexpected external event—such as a natural disaster or economic crisis—that disrupts normal process performance and necessitates rapid adaptation.
Lightweight IT: Modular and loosely coupled technological components that enable rapid deployment and integration of digital capabilities without extensive custom development.
Machine Learning: A subset of artificial intelligence in which algorithms learn patterns from data to support predictive decision-making and automation within processes.
References
- Speeding up Explorative BPM with Lightweight IT: the Case of Machine Learning. Information Systems Frontiers (2024).
- Keeping Your Maturity Assessment Alive. Business & Information Systems Engineering (2023).
- Exogenous Shocks and Business Process Management. Business & Information Systems Engineering (2022).
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