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See detailThe Evolution of an Architectural Paradigm - Using Blockchain to Build a Cross-Organizational Enterprise Service Bus
Amend, Julia; Fridgen, Gilbert UL; Rieger, Alexander UL et al

in 54th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii (Virtual) (2021, April)

Cross-organizational collaboration and the exchange of process data are indispensable for many processes in federally organized governments. Conventional IT solutions, such as cross-organizational ... [more ▼]

Cross-organizational collaboration and the exchange of process data are indispensable for many processes in federally organized governments. Conventional IT solutions, such as cross-organizational workflow management systems, address these requirements through centralized process management and architectures. However, such centralization is difficult and often undesirable in federal contexts. One alternative solution that emphasizes decentralized process management and a decentralized architecture is the blockchain solution of Germany’s Federal Office for Migration and Refugees. Here, we investigate the architecture of this solution and examine how it addresses the requirements of federal contexts. We find that the solution’s architecture resembles an improvement and cross-organizational adaption of an old architectural paradigm, the enterprise service bus. [less ▲]

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See detailReconciling Blockchain with the GDPR: Insights from the German Asylum Procedure
Rieger, Alexander UL; Stohr, Alexander; Wenninger, Annette et al

in Blockchain and the Public Sector: Theories, Reforms, and Case Studies (2021)

Detailed reference viewed: 82 (2 UL)
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See detailAffordance-Experimentation-Actualization Theory in Artificial Intelligence Research : a Predictive Maintenance Story
Keller, Robert; Stohr, Alexander; Fridgen, Gilbert UL et al

in 40th International Conference on Information Systems (2019)

Artificial intelligence currently counts among the most prominent digital technologies and promises to generate significant business value in the future. Despite a growing body of knowledge, research ... [more ▼]

Artificial intelligence currently counts among the most prominent digital technologies and promises to generate significant business value in the future. Despite a growing body of knowledge, research could further benefit from incorporating technological features, human actors, and organizational goals into the examination of artificial intelligence-enabled systems. This integrative perspective is crucial for effective implementation. Our study intends to fill this gap by introducing affordance-experimentation-actualization theory to artificial intelligence research. In doing so, we conduct a case study on the implementation of predictive maintenance using affordance-experimentation-actualization theory as our theoretical lens. From our study, we find further evidence for the existence of the experimentation phase during which organizations make new technologies ready for effective use. We propose extending the experimentation phase with the activity of ‘conceptual exploration’ in order to make affordance-experimentation-actualization theory applicable to a broader range of technologies and the domain of AI-enabled systems in particular. [less ▲]

Detailed reference viewed: 176 (7 UL)