766 research outputs found
Call for Papers, Issue 5/2021 Process Mining at the Enterprise Level
No full textMendling, J (reprint author), Vienna Univ Econ & Business, Vienna, Austria.
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BPMN research : what we know and what we don’t know
No full textIn this short keynote paper, I will briefly explore the current state of research and practice surrounding the BPMN standard. On basis of this analysis I will offer a personal outlook into the key emerging areas where I believe more research will be required to further understand BPMN, its premise and promise, and how we can shape – and join together – the landscape of BPMN practice and development in academia and industry
Challenges of smart business process management: an introduction to the special issue
No full textThis paper describes the foundations of smart business process management and serves as an editorial to the corresponding special issue.sponsorship: We thank the authors of the papers collected in this special issue and the editor-in-chief James Marsden for his comments on this editorial. The work of Jan Mendling has received funding from the EU H2020 programme under the MSCA-RISE agreement 645751 (RISE BPM). (EU H programme under the MSCA-RISE agreement|645751)status: Publishe
Event-case correlation for process mining using probabilistic optimization
No full textProcess mining supports the analysis of the actual behavior and performance of business processes using event logs. An essential requirement is that every event in the log must be associated with a unique case identifier (e.g., the order ID of an order-to-cash process). In reality, however, this case identifier may not always be present, especially when logs are acquired from different systems or extracted from non-process-aware information systems. In such settings, the event log needs to be pre-processed by grouping events into cases — an operation known as event correlation. Existing techniques for correlating events have worked with assumptions to make the problem tractable: some assume the generative processes to be acyclic, while others require heuristic information or user input. Moreover, they abstract the log to activities and timestamps, and miss the opportunity to use data attributes. In this paper, we lift these assumptions and propose a new technique called EC-SA-Data based on probabilistic optimization. The technique takes as inputs a sequence of timestamped events (the log without case IDs), a process model describing the underlying business process, and constraints over the event attributes. Our approach returns an event log in which every event is associated with a case identifier. The technique allows users to flexibly incorporate rules on process knowledge and data constraints. The approach minimizes the misalignment between the generated log and the input process model, maximizes the support of the given data constraints over the correlated log, and the variance between activity durations across cases. Our experiments with various real-life datasets show the advantages of our approach over the state of the art
Business Process Quality Management
No full textProcess modeling is a central element in any approach to Business Process Management (BPM). However, what hinders both practitioners and academics is the lack of support for assessing the quality of process models – let alone realizing high quality process models. Existing frameworks are highly conceptual or too general. At the same time, various techniques, tools, and research results are available that cover fragments of the issue at hand. This chapter presents the SIQ framework that on the one hand integrates concepts and guidelines from existing ones and on the other links these concepts to current research in the BPM domain. Three different types of quality are distinguished and for each of these levels concrete metrics, available tools, and guidelines will be provided. While the basis of the SIQ framework is thought to be rather robust, its external pointers can be updated with newer insights as they emerge
An artifact-driven approach to monitor business processes through real-world objects
No full textNowadays, many business processes once intra-organizational are becoming inter-organizational. Thus, being able to monitor how such processes are performed, including portions carried out by service providers, is paramount. Yet, traditional process monitoring techniques present some shortcomings when dealing with inter-organizational processes. In particular, they require human operators to notify when business activities are performed, and to stop the process when it is not executed as expected. In this paper, we address these issues by proposing an artifact-driven monitoring service, capable of autonomously and continuously monitor inter-organizational processes. To do so, this service relies on the state of the artifacts (i.e., physical entities) participating to the process, represented using the E-GSM notation. A working prototype of this service is presented and validated using real-world processes and data from the logistics domain
The NESTT - Rapid Process Redesign
No full textThe higher education sector faces like most information-intensive industries an opportunity-rich, digital future. Nowadays, students demand contemporary, multi-channel learning experiences and fast evolving digital affordances provide universities with a growing design space for their future processes. Legislative changes, a globalizing market of learners and educational providers, and the emergence of new technology-based business models (<i>EduTech</i>) and legislative changes are further features of the current situation in this sector. In order to prepare for and to capitalize on this changing environment the <i>Queensland University of Technology (QUT)</i>, like any university, needs to ensure operational inefficiencies are addressed as part of the required organisational transformation. However, traditional BPM approaches are often time-consuming and not tailored to immediate process transformation, meaning a new, dedicated and agile approach for <i>QUT</i> was needed
Applying process mining to smart spaces: perspectives and research challenges
No full textA software system managing a smart space takes, among its inputs, models of human behavior; such models are usually difficult to obtain and to validate. The employment of techniques from business process modeling and mining may represent a solution to both the problems, but a set of challenges need to be faced in order to cope with major differences between human activities and business processes. In this work we provide insights about these challenges, and propose further research activities to tackle the
Process Innovation as Creative Problem-Solving: An Experimental Study of Textual Descriptions and Diagrams
No full textThe use of process models to support business analysts' idea-generation tasks has been a long-standing topic of interest in process improvement. We examine how two types of representations of organizational processes - textual and diagrammatic - assist analysts in developing innovative solutions to process-redesign tasks. The results of our study clarify the types of process-redesign ideas generated by analysts who work with text versus those who work with models. We find that the volume and originality of process-redesign ideas do not differ significantly but that appropriateness of ideas varies. We discuss the implications of these findings for research and practice in process improvement
Recommendations from analyzing the state-of-the-art of\ud business process management research
No full textBusiness Process Management (BPM) as a research field integrates different perspectives from the disciplines computer science, management science and information systems research. Its evolution has by been shaped by the corresponding conferences series, the International Conference on Business Process Management (BPM conference). As much as in other academic discipline, there is an ongoing debate that discusses the identity, the quality and maturity of the BPM field. In this paper, we review and summarize the major findings a larger study that will be published in the Business & Information Systems Engineering journal in 2016. In the study, we investigate the identity and progress of the BPM conference research community through an analysis of the BPM conference proceedings. Based on our findings from this analysis, we formulate recommendations to further develop the conference community in terms of methodological advance, quality, impact and progression
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