Business process models are becoming available in large numbers due to their widespread
use in many industrial applications such as enterprise and quality engineering projects. On …

Purpose–The purpose of this paper is to highlight how systems thinking contributes to
decision making in uncertain contexts that are characteristic of service systems. Based on …

Process mining refers to the extraction of process models from event logs. Real-life
processes tend to be less structured and more flexible. Traditional process mining …

While the maturity of process mining algorithms increases and more process mining tools
enter the market, process mining projects still face the problem of different levels of …

Modularization is a widely advocated mechanism to manage a business process model's
size and complexity. However, the widespread use of subprocesses in models does not rest …

The discipline of business process management aims at capturing, understanding, and
improving work in organizations by using process models as central artifacts. Since …

As a result of the growing adoption of Business Process Management (BPM) technology,
different stakeholders need to understand and agree upon the process models that are used …

In order to execute, study, or improve operational processes, companies document them as
business process models. Often, business process analysts capture every single exception …

Hierarchy has widely been recognized as a viable approach to deal with the complexity of
conceptual models. For instance, in declarative business process models, hierarchy is …

There are many fields of computing in which having access to large volumes of data allows
very precise models to be developed. For example, machine learning employs a range of …