DCEIS 2019 Abstracts

Short Papers
Short Papers
Paper Nr: 1
Title:

Opportunities for Supporting Digital Transformation through Modelling Dynamic Processes
Authors:

Bouafia Khawla and Bálint Molnár
Abstract: At present, companies and business are confronted with a rapidly changing environment that is characterized by high market pressure and technological development and to fulfil the customers’ needs. All those changes of a business must be implemented in business processes (BP) and their maintaining information systems (IS). Therefore, a necessity of new approaches for the dynamic business process (DBP) for their modelling, dynamic execution, simulation and management to express and model the behaviour of the system over time, it uses too software tools for modelling BP, which integrate components for dynamic modelling and measuring the performance of the processes. This gap triggered significant research efforts and several approaches to solve DBP modelling problems and ensures the processes dynamicity. In this paper, we present the founda-tion design and BP models to move to advanced steps of execution over time, facilitate and ensure verification and find new approaches for simulation and optimization. We give special emphasis to the investigation of modelling BP, we investigate some fundamental concepts in this domain related with hypergraphs which con-cepts is strongly supported in Modeling of the DBP.
Paper Nr: 2
Title:

Language Independent Enterprise Model Mapping and Integration
Authors:

Erik Heiland and Andreas Karcher
Abstract: Large organizations use established enterprise architecture frameworks like TOGAF or NAF to master the increasing complexity of their systems and processes. Especially for efficient cooperation the usage of different modelling approaches in different departments or due to company fusions is problematic. Furthermore, the different level of detail as well as different views and focuses makes the adaption or mapping of such models to challenging task. Considering this situation, the Phd objective is the complete and consistent transformation of enterprise architecture models from one specification to another on a generic methodology. This includes the technical verification and validation based on syntax, semantic and ontology. It ultimately forms the basis for objective comparability of operational capabilities and their systematic further development. This enables a sustainable, systematic adaptation of system development processes to constantly evolving operational capability driven requirements.
Paper Nr: 3
Title:

A Distributed Ledger System for Digital Supply Networks
Authors:

Pascal Moriggl
Abstract: The outlined research reviews recent advancements in distributed ledger technology that promises to be an improvement for current supply chain setups. On one hand, requirements demanded by end consumers ask for increased transparency about product data like origin, quality certification or sustainability reassurance. On the other hand, global supply chains have become increasingly difficult to manage due to the increased rate of change and overall complexity. A potential way to improve current supply chains could be to ensure provenance relying on distributed ledger technology, and support data sharing among stakeholders in a network that helps satisfying transparency demands from end consumers and network partners. Supply chain participants need to be able to trust the system and rely on standards, frameworks, and techniques that guide their efforts towards achieving the requirements imposed by the end consumers. One aspect is the ability to mutually share data about a product and provide a single point of truth. Based on industry expert interviews, a significant resistance to implement a solution based on existing technology was so far the fear of having to rely on a centralized data broker, which imposed questions about monopoly laws and data control. With the upcoming of DLT, a new technology became available that might offer to defuse exactly those threats and even improve other supply chain challenges (automation, interoperability, governance). Therefore, this research aims at exploring the technology further by following design science research principles that produce a prototype to be applied to real and relevant business problems.