Abstract
The increasing importance of data in business processes has led to the emergence of data-centric business process management, which deviates from the widely used activity-centric paradigm. Data-centric approaches set their focus on data, aiming at supporting data-intensive business processes and increased process flexibility. The objective of this article is to gain profound insights into the maturity of different data-centric approaches as well as their capabilities. In particular, this article will provide a framework for systematically evaluating and comparing data-centric approaches, with regard to the phases of the business process lifecycle. To this end, a systematic literature review (SLR) was conducted with the goal of evaluating the capabilities of data-centric process management approaches. The SLR comprises 38 primary studies which were thoroughly analyzed. The studies were categorized into different approaches, whose capabilities were thoroughly assessed. Special focus was put on the tooling and software of the approaches. The article provides the empirically grounded DALEC framework to evaluate and compare data-centric approaches. Furthermore, the results of the SLR offer insights into existing data-centric approaches and their capabilities. Data-centric approaches promise better support of loosely structured and data-intensive business processes, which may not be adequately represented by activity-centric paradigms.
Highlights
Over the last decade, organizations and companies have started adopting process management methodologies and tools, with the aim of increasing the level of automation support for their operational business processes
We aim at filling this gap through a twofold contribution: 1. We present results from a systematic literature review (SLR) of data-centric process management approaches
Based on the empirical evidence and the results provided by the SLR, we derive the Data-centric Approach Lightweight Evaluation and Comparison (DALEC) framework
Summary
Organizations and companies have started adopting process management methodologies and tools, with the aim of increasing the level of automation support for their operational business processes. Business Process Management (BPM) has become one of the leading research areas in the broader field of information systems [73]. In the BPM research area, various languages, techniques, methodologies, paradigms, and environments have been proposed for modeling, analyzing, executing, and evolving business processes [62]. A PrMS is a system created to support the management and execution of business processes involving humans, applications, and external sources of information. 2.1, we first provide an overview of the existing modeling approaches to process management. Examples of graphical activity-centric modeling notations include the Business Process Model and Notation (BPMN), Event-driven Process Chains (EPC), and UML Activity Diagrams (UML AD). BPMN has been widely adopted in current practice and can be considered as the de-facto standard for business process modeling
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