Titlebook: Business Process Management Workshops; BPM 2020 Internation Adela Del Río Ortega,Henrik Leopold,Flávia Maria S Conference proceedings 2020

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Root Cause Analysis in Process Mining Using Structural Equation Models their performance indicators by helping them to find and amend the root causes of performance or compliance problems. This task usually involves gathering process data from the event log and then applying some data mining and machine learning techniques. However, using the results of such technique

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Allergic

D3BA: A Tool for Optimizing Business Processes Using Non-deterministic Planningl Business Automation) – to optimize business processes using AI planning. The tool provides a powerful framework to build, optimize, and maintain complex business processes and optimize them by composing with services that automate one or more subtasks. We illustrate salient features of this compos

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Conceptualizing a Capability-Based View of Artificial Intelligence Adoption in a BPM Contextother technologies, many of them have difficulties leveraging AI technologies and realizing performance gains. Research on the business value of information technology (IT) suggests that the adoption of AI should improve organizational performance, though indirectly, through improved business proces

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https://doi.org/10.1007/978-3-030-66498-5business process management; business process modeling; business process monitoring; business intellige

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978-3-030-66497-8Springer Nature Switzerland AG 2020

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Business Process Management Workshops978-3-030-66498-5Series ISSN 1865-1348 Series E-ISSN 1865-1356

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Hectic

Verifiable Multi-Party Business Process AutomationLack of trust is one of the main problems preventing multi-party business process automation. Solutions based on smart contracts and distributed ledgers have been proposed, but suffer from scalability issues. We present a more performant alternative approach to enable trust between business partners, based on authenticated data structures.

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