AI-Augmented Business Process Management Systems: A Research Manifesto

Dumas, Marlon; Fournier, Fabiana; Limonad, Lior; Marrella, Andrea; Montali, Marco; Rehse, Jana-Rebecca; Accorsi, Rafael; Calvanese, Diego; Giacomo, Giuseppe De; Fahland, Dirk; Gal, Avigdor; Rosa, Marcello La; Völzer, Hagen; Weber, Ingo

doi:10.48550/arxiv.2201.12855

Cited by 2 publications

(1 citation statement)

References 66 publications

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“…Business processes in service-oriented organisations are managed by their service management systems, which are responsible for systematising offered services in the form of business processes [1]. These management systems are also responsible for executing business processes in the most effective manner so that customers (both internal and external) receive the best services possible.…”

Section: Introductionmentioning

confidence: 99%

Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis

et al. 2022

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A significant challenge for organisations is the timely identification of the abnormalities or deviations in their process executions. Abnormalities are generally due to missing vital aspects of a process or possession of unwanted behaviour in the process execution. Conformance analysis techniques examine the synchronisation between the recorded logs and the learned process models, but the exploitation of event logs for abnormality detection is a relatively under-explored area in process mining. In this paper, we proposed a novel technique for the identification of abnormalities in business process execution through the extension of available conformance analysis techniques. Non-traditional conformance analysis techniques are used to find correlations and discrepancies between simulated and observed behaviour in process logs. Initially, the raw event log is filtered into two variants, successful and failed, based upon the outcome of the instances. Successfully executed instances refer to an ideal conduct of process and are utilised to discover an optimal process model. Later, the process model is used as a behavioural benchmark to classify the abnormality in the failed instances. Abnormal behaviour is compiled grounded on three dimensions of conformance, control flow-based alignment, trace-level alignment and event-level alignment. For early predictions, we introduced the notion of conformance lifeline presenting the impact of varying fitness scores during process execution. We applied the proposed methodology to a real-world event log and presented several process-specific improvement measures in the discussion section.

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Section: Introductionmentioning

confidence: 99%

Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis

et al. 2022

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Managing next generation BP-x initiatives

Schaschek,

Gwinner,

Neis

et al. 2024

Inf Syst E-Bus Manage

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Past generations of BPM involved the efficient and effective management of business processes. Yet, we currently face a turning point. The technological facets of data-driven BPM add complexity to traditional BPM applications. As a result, organizations face intended and unintended technology-related changes across all business process initiatives. Using the term BP-x, we summarize the recent changes in BPM knowledge that has hitherto been fragmented across academic literature. To address the challenges of BP-x initiatives, we envision a holistic model that focuses on managing related cutting-edge technologies and BPM. Thus, we propose the operationalized BP-x management model as a valuable IT meta-artifact. We develop the model using a two-cycled Design Science Research methodology and conduct a threefold summative evaluation. The results of our study indicate that creating awareness of potentials and opportunities accelerates the process toward action and fosters new business outcomes in terms of performance and innovation. By strategically aligning BP-x endeavors, organizations promote visibility, shared understanding, and culture among stakeholders. Our model guides managers throughout the BP-x adoption journey in conjunction with organizational, managerial, and technological prerequisites.

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AI-Augmented Business Process Management Systems: A Research Manifesto

Cited by 2 publications

References 66 publications

Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis

Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis

Managing next generation BP-x initiatives

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