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Process improvement is a fundamental activity of the business process management (BPM) lifecycle. However, practitioners still lack concrete guidance and adequate objectives for process improvement. Moreover, improvement projects typically tie up considerable amounts of capital and are very risky. Thus, more guidance is needed on how to derive concrete recommendations for process improvement in a goal-oriented manner. The paper aims to discuss these issues.

The authors propose a decision model that determines along which paths the instances of a process should be routed to maximize the value contribution of the process. To do so, the decision model requires a process model and a set of historical process instances as inputs.

The decision model builds on the idea that only the parameters of the process, i.e., the values according to which it is decided on which path an instance traverses the process, can be modified, without altering the structure of the process. The decision model determines the parameter setting that maximizes the value contribution of the process, which is measured in terms of the expected cash flow of the process. When determining the optimal parameter setting, the decision model considers that different instances and paths have different cash flow effects.

The authors prototypically implemented the decision model and report on the insights from a demonstration example that is based on the order verification process of an IT distributor.

The decision model complements existing approaches to process improvement as it reveals additional improvement potential by focussing on the decision points in a process without altering the structure of the process. The decision model also enables identifying an optimal parameter setting, as a concrete recommendation for process improvement, in line with the principles of value-based BPM.

This study aims to explore sustainable development and business success (BS) through decision-making (DM) in Pakistan’s circular economy.

This is a co-relational study in which the researchers used cross-sectional data collected from the managers of Pakistan’s manufacturing industries. Accordingly, the authors based this study’s findings on 373 valid samples.

This study’s structural equation modeling results reveal that DM has a positive and significant effect on sustainable development, which comprises competitiveness, business performance enhancement, flexibility, customer satisfaction and technology development. Moreover, DM positively and significantly affects BS.

This study’s findings support sustainable development, strengthen the socioeconomic conditions and bring about the industries’ well-being through DM. In addition, these findings demonstrate the need for the circular economy to tackle industrial challenges and simultaneously open up economic and environmental growth opportunities for society.

This study offers the original contribution from a circular economy perspective; there needs to be more empirical evidence among managers of manufacturing industries. Besides, this study provides DM’s role in achieving sustainable development in the presence of BS, which has disappeared in an integrated way, particularly in a circular context.