Abstract Machine learning (ML) provides algorithms to create computer programs based on
data without explicitly programming them. In business process management (BPM), ML …

Purpose The value of big data in supply chain management (SCM) is typically motivated by
the improvement of business processes and decision-making practices. However, the …

Purpose Significant numbers of business process management (BPM) projects fail. Their
failure is attributed toward many factors. Among them, low quality of BPM is one reason …

Purpose The nature and amount of data that public organizations have to monitor to
counteract corruption lead to a phenomenon called “KPI overload”, consisting of the …

Purpose–The purpose of this paper is to examine how business process management
(BPM) is incorporated within organisational structure. The authors demonstrate how a …

Purpose Business process management (BPM) and lean management (LM) are both
recognized for improving organizational performance through continuous improvement, yet …

Purpose The authors observe that actionable guidelines are missing from many reference
works on business process management (BPM). Also, success factors are mostly not …

Automation has profoundly transformed the operational landscape of companies across
various industries. As organizations strive to adapt to this rapidly evolving technology, it …

Purpose This research proposes how Design for Six Sigma (DFSS) provides a
complementary approach for business process management (BPM) lifecycle implementation …

Abstract Context Business Process Management (BPM) is considered an important
management approach that encompasses a set of methods for managing the business …