Conference Agenda

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Session Overview
Digital Processes and Architectures
Monday, 09/Mar/2020:
3:30pm - 5:00pm

Session Chair: Henrik Leopold
Session Chair: Christof Thim
Location: S15


Ein Vergleich von Deep-Learning-Architekturen für die Prozessprognose

Kai Heinrich, Patrick Zschech, Christian Janiesch, Markus Bonin

TU-Dresden, Germany

Vor dem Hintergrund einer zunehmenden Datenverfügbarkeit sowie der Motivation von Unternehmen, Geschäftsprozesse kontinuierlich zu verbessern, untersucht der Beitrag verschiedene Deep-Learning-Architekturen, die im Kontext der Prozessprognose angewendet werden können, um durch eine verbesserte Prognose kritische Prozessrisiken früher und besser zu erkennen. Das Forschungsziel ist dabei durch die Identifikation und Gegenüberstellung innovativer Architekturkonzepte für die Aufgabe der Prozessprognose gegeben Dazu werden zunächst Ansätze aus dem Bereich ‚Deep Learning‘ mithilfe eines Literature Review identifiziert, welche ein klares Anwendungspotenzial in der Prozessprognose aufweisen. Anschließend wird ein Testdesign entwickelt, anhand dessen die identifizierten Ansätze evaluiert und systematisch gegenübergestellt werden. Die Ergebnisse zeigen, dass die innovativen Deep-Learning-Architekturen konkurrenzfähige und teilweise bessere Prognosequalitäten aufweisen als die bisher in der Literatur verwendeten Ansätze.

Blockchain-based Cross-Organizational Execution Framework for Dynamic Integration of Process Collaborations

Philipp Klinger, Freimut Bodendorf

Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Cross-organizational business processes involving multiple participants are choreographed, thus rely on mutual trust of collaborators or need to be coordinated by a central instance. Using Smart Contracts, business processes can be executed without a mutually trusted and centralized orchestrating authority. Former Blockchain-based execution framework proposals focus on orchestration diagrams as a basis for execution. Contrary, this work focuses on BPMN process collaboration diagrams as implementation basis and makes additional transformation steps obsolete. With the herein proposed framework for execution of cross-organizational process collaborations, another approach for the implementation and execution of inter-organizational processes on a Blockchain is presented, including a voting mechanism for process deployment as well as a subscription service to facilitate process handovers between participants more efficiently. The framework is exemplified and evaluated with a use case from a large German industrial manufacturing company.

Evaluating the User Experience of an Augmented Reality Prototype for Enterprise Architecture

Kevin Rehring, Frederik Ahlemann

University of Duisburg-Essen, Germany

Enterprise architecture (EA) visualizations like text, diagrams, and models are commonly displayed on 2D screens and are manipulated with a computer mouse and keyboard. The additional application of augmented reality (AR) promises improvements in terms of understanding complex architectural relationships and enables more natural manipulation of visualizations, ultimately leading to better decision-making. As part of a Design Science Research (DSR) project, we report on an empirical evaluation of user experience of an EA visualizing prototype deployed on an optical see-through head-mounted display (HMD) with 13 practitioners. The examined prototype displays a three-layer model that allows the analysis of randomly generated EAs. The participants performed 13 tasks which differed in complexity and context. In this study we qualitatively observe users’ behavior. Our results indicate that AR is suitable to analyze EA. In particular those stakeholders less experienced with EA can benefit from utilizing EA visualizations in AR.