http://dl.gi.de/handle/20.500.12116/36339 2026-07-21T13:56:16Z 2026-07-21T13:56:16Z Kerpedzhiev, Georgi Dimov König, Ulrich Matthias Röglinger, Maximilian Rosemann, Michael http://dl.gi.de/handle/20.500.12116/36358 2021-05-01T06:24:03Z 2021-01-01T00:00:00Z

An Exploration into Future Business Process Management Capabilities in View of Digitalization Kerpedzhiev, Georgi Dimov; König, Ulrich Matthias; Röglinger, Maximilian; Rosemann, Michael Business process management (BPM) is a mature discipline that drives corporate success through effective and efficient business processes. BPM is commonly structured via capability frameworks, which describe and bundle capability areas relevant for implementing process orientation in organizations. Despite their comprehensive use, existing BPM capability frameworks are being challenged by socio-technical changes such as those brought about by digitalization. In line with the uptake of novel technologies, digitalization transforms existing and enables new processes due to its impact on individual behavior and needs, intra- and inter-company collaboration, and new forms of automation. This development led the authors to presume that digitalization calls for new capability areas and that existing frameworks need to be updated. Hence, this study explored which BPM capability areas will become relevant in view of digitalization through a Delphi study with international experts from industry and academia. The study resulted in an updated BPM capability framework, accompanied by insights into challenges and opportunities of BPM. The results show that, while there is a strong link between current and future capability areas, a number of entirely new and enhanced capabilities are required for BPM to drive corporate success in view of digitalization.

2021-01-01T00:00:00Z González-Rojas, Oscar Castro, Nicolás Lesmes, Sebastian http://dl.gi.de/handle/20.500.12116/36356 2021-05-01T06:24:03Z 2021-01-01T00:00:00Z

Quantifying Risk Propagation Within a Network of Business Processes and IT Services González-Rojas, Oscar; Castro, Nicolás; Lesmes, Sebastian Nowadays, the organic nature of business processes and the increasingly complex and dynamic business environment make organizations face severe operational risks. However, current risk analysis methods of Information Technology (IT) resources ignore inter-process correlation and thus inter-process risk propagation. This gap needs a solution since the rigid alignment of organizations cause the risks which propagate throughout the whole organization to be the most serious operational risks. This paper presents a holistic approach for quantifying risk propagation in business processes based on the risk analysis of their underlying IT and human resources. This approach adapts financial techniques to quantify the level of risk that average and severe events on IT resources generate on individual business processes, and to quantify the risk propagation impact among dependent processes. This approach was applied to an enterprise modeling case study to quantify risk propagation for different risk epicenter scenarios. The results show that the proposed approach is capable of finding and quantifying both direct and indirect dependencies among operational assets within an organization. A high level of accuracy was observed when comparing the actual value of the process risk and the projected value considering risk propagation.

2021-01-01T00:00:00Z Hawlitschek, Florian http://dl.gi.de/handle/20.500.12116/36357 2021-05-01T06:24:03Z 2021-01-01T00:00:00Z

Interview with Benjamin Scheffler on "The Future of Waste Management" Hawlitschek, Florian

2021-01-01T00:00:00Z Silva, Nuno Sousa, Pedro Mira da Silva, Miguel http://dl.gi.de/handle/20.500.12116/36354 2021-05-01T06:24:03Z 2021-01-01T00:00:00Z

Maintenance of Enterprise Architecture Models Silva, Nuno; Sousa, Pedro; Mira da Silva, Miguel Enterprise architecture (EA) models are tools of analysis, communication, and support towards enterprise transformation. These models need a suitable maintenance process to support comprehensive knowledge of the enterprise’s structure and dynamics. This study aims to identify and discuss the existing approaches to EA model maintenance published in the scientific literature. A systematic literature review was employed as the research method. A keyword-based search in six databases identified a total of 4495 papers in which 31 primary studies were included. A total of nine categories of EA model maintenance approaches were identified from both information systems and enterprise engineering fields of research. The increasing amount of research in EA model maintenance suggests that the topic still presents opportunities for research contributions. This study also proposes future lines of research according to the results identified in the theoretical corpus.

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