@inproceedings{63754, abstract = {{Data spaces are receiving an emerging interest in Information Systems Research and industry practice. They are central to many European research initiatives and shape the data economy in Industry 4.0. Generally, they aim to create secure environments for cross-organizational data management and sharing. Currently, there is considerable interest in developing new data spaces in Industry 4.0, also accelerated through regulatory changes. However, key questions about what precisely characterizes a data space in Industry 4.0 remain unresolved. Against this backdrop, we build a taxonomy of data spaces in the Industry 4.0 context. We identified nine distinctive dimensions and 40 corresponding characteristics among the 19 data spaces analyzed. The taxonomy enables clearer classification and nomenclature of data spaces in this context. This short paper will ignite planned further research on data spaces in Industry 4.0 and contribute to a conceptualization of a taxonomic theory for interested researchers.}}, author = {{Werth, Oliver and Koldewey, Christian and Uslar, Mathias and Zerbin, Julian}}, booktitle = {{Lecture Notes in Business Information Processing}}, isbn = {{9783032145178}}, issn = {{1865-1348}}, keywords = {{Industry 4.0, Taxonomy, Data spaces, Characterization}}, location = {{Stuttgart, Germany}}, publisher = {{Springer Nature Switzerland}}, title = {{{What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding}}}, doi = {{10.1007/978-3-032-14518-5_3}}, year = {{2026}}, } @inbook{59802, author = {{Löhr, Bernd and Bartelheimer, Christian and Köhne, Frank and Nordlohne, Sina and Alile, Daniel and Latten, Andrees}}, booktitle = {{Business Process Management Workshops}}, isbn = {{9783031786655}}, issn = {{1865-1348}}, publisher = {{Springer Nature Switzerland}}, title = {{{Forging the LongSWORD: Exaptation and Enhancement of the SWORD Framework for Workaround Detection}}}, doi = {{10.1007/978-3-031-78666-2_24}}, year = {{2025}}, } @inbook{58724, author = {{Brennig, Katharina and Kaltenpoth, Sascha Benjamin and Müller, Oliver}}, booktitle = {{Lecture Notes in Business Information Processing}}, isbn = {{9783031786655}}, issn = {{1865-1348}}, publisher = {{Springer Nature Switzerland}}, title = {{{Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?}}}, doi = {{10.1007/978-3-031-78666-2_15}}, year = {{2025}}, } @inbook{50450, author = {{Brennig, Katharina and Benkert, Kay and Löhr, Bernd and Müller, Oliver}}, booktitle = {{Business Process Management Workshops}}, isbn = {{9783031509735}}, issn = {{1865-1348}}, title = {{{Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?}}}, doi = {{10.1007/978-3-031-50974-2_33}}, year = {{2023}}, } @inbook{34023, abstract = {{Decision makers increasingly rely on decision support systems for optimal decision making. Recently, special attention has been paid to process-driven decision support systems (PD-DSS) in which a process model prescribes the invocation sequence of software-based decision support services and the data exchange between them. Thus, it is possible to quickly combine available decision support services as needed for optimally supporting the decision making process of an individual decision maker. However, process modelers may accidentally create a process model which is technically well-formed and executable, but contains functional and behavioral flaws such as redundant or missing services. These flaws may result in inefficient computations or invalid decision recommendations when the corresponding PD-DSS is utilized by a decision maker. In this paper, we therefore propose an approach to validate functionality and behavior of a process model representing a PD-DSS. Our approach is based on expressing flaws as anti-patterns for which the process model can be automatically checked via graph matching. We prototypically implemented our approach and demonstrate its applicability in the context of decision making for energy network planning.}}, author = {{Kirchhoff, Jonas and Engels, Gregor}}, booktitle = {{Software Business}}, isbn = {{9783031207051}}, issn = {{1865-1348}}, pages = {{227----243}}, publisher = {{Springer International Publishing}}, title = {{{Anti-pattern Detection in Process-Driven Decision Support Systems}}}, doi = {{10.1007/978-3-031-20706-8_16}}, volume = {{463}}, year = {{2022}}, } @inbook{32792, abstract = {{Decision makers in complex business environments have different goals and constraints and therefore require tailored decision support systems (DSS). Following a low-code approach, a tailored DSS can be created by a decision maker as a process-based composition of existing, interoperable decision support services. Data incompatibilities may be introduced during the design or execution of such a process-driven DSS, e.g., when a service always generates or a decision maker selects data which violates a data constraint of a subsequent service. These incompatibilities cause interrupted or erroneous decision processes. In this paper, we contribute an approach which enables the detection of data incompatibilities in process-driven DSS during process design and execution. Our approach utilizes the JSON Schema specification to define service interfaces and associated type constraints which data produced by services or decision makers can be validated against. We demonstrate our approach in the context of decision support for energy network planning using a prototypical open-source implementation.}}, author = {{Kirchhoff, Jonas and Gottschalk, Sebastian and Engels, Gregor}}, booktitle = {{Lecture Notes in Business Information Processing}}, isbn = {{9783031115097}}, issn = {{1865-1348}}, publisher = {{Springer International Publishing}}, title = {{{Detecting Data Incompatibilities in Process-Driven Decision Support Systems}}}, doi = {{10.1007/978-3-031-11510-3_6}}, year = {{2022}}, } @inbook{7430, author = {{Rittmeier, Florian and Engels, Gregor and Teetz, Alexander}}, booktitle = {{Business Process Management Workshops}}, editor = {{Daniel, Florian and Sheng, Quan Z. and Motahari, Hamid}}, isbn = {{9783030116408}}, issn = {{1865-1348}}, pages = {{531--542}}, publisher = {{Springer International Publishing}}, title = {{{Process Weakness Patterns for the Identification of Digitalization Potentials in Business Processes}}}, doi = {{10.1007/978-3-030-11641-5_42}}, volume = {{342}}, year = {{2019}}, } @inproceedings{15391, author = {{Berendes, Carsten Ingo}}, booktitle = {{Business Information Systems Workshops}}, isbn = {{9783030366902}}, issn = {{1865-1348}}, title = {{{Towards Analyzing High Street Customer Trajectories - A Data-Driven Case Study}}}, doi = {{10.1007/978-3-030-36691-9_27}}, year = {{2019}}, } @inproceedings{3550, abstract = {{Nowadays companies like Apple create ecosystems of third- party providers and users around their software platforms. Often online stores like Apple App Store are created to directly market third-party solutions. We call such ecosystems store-oriented software ecosystems. While the architecture of these ecosystems is mainly derived from busi- ness decisions of their owners, ecosystems with greatly different archi- tectural designs have been created. This diversity makes it challenging for future ecosystem providers to understand which architectural design is suitable to fulfill certain business decisions. In turn, opening a plat- form becomes risky while endangering intellectual property or scarifying quality of services. In this paper, we identify three main design options of store-oriented software ecosystems by classifying existing ecosystems based on similarities in their business decisions. We elaborate on the design options, discuss their main contributions, and provide exemplary ecosystems. Our work provides aspiring ecosystem providers with the reusable knowledge of existing ecosystems and helps them to take more informed architectural decisions and reduce risks in future.}}, author = {{Jazayeri, Bahar and Zimmermann, Olaf and Engels, Gregor and Küster, Jochen and Kundisch, Dennis and Szopinski, Daniel}}, booktitle = {{Proceeding of International Symposium on Business Modeling and Software Design}}, isbn = {{9783319942131}}, issn = {{1865-1348}}, pages = {{390--400}}, publisher = {{Springer}}, title = {{{Design Options of Store-Oriented Software Ecosystems: An Investigation of Business Decisions}}}, doi = {{10.1007/978-3-319-94214-8_30}}, volume = {{319}}, year = {{2018}}, } @inproceedings{15104, author = {{Böttcher, Stefan and Fernhomberg, Lars and Hartel, Rita}}, booktitle = {{Web Information Systems and Technologies - 7th International Conference, WEBIST 2011, Revised Selected Papers}}, isbn = {{9783642280818}}, issn = {{1865-1348}}, pages = {{116--130}}, publisher = {{Springer}}, title = {{{Reducing Data Transfer by Combining XML-Compression and XML-Caching}}}, doi = {{10.1007/978-3-642-28082-5_9}}, year = {{2011}}, } @inproceedings{15136, author = {{Böttcher, Stefan and Hartel, Rita and Messinger, Christian}}, booktitle = {{Enterprise Information Systems - 12th International Conference, ICEIS 2010, Revised Selected Papers}}, isbn = {{9783642198014}}, issn = {{1865-1348}}, pages = {{451--463}}, publisher = {{Springer}}, title = {{{Using XML Schema Subtraction to Compress Electronic Payment Messages}}}, doi = {{10.1007/978-3-642-19802-1_31}}, year = {{2010}}, } @inproceedings{15143, author = {{Böttcher, Stefan and Hartel, Rita and Heinzemann, Christian}}, booktitle = {{Web Information Systems and Technologies, 4th International Conference, WEBIST 2008, Revised Selected Papers}}, isbn = {{9783642013430}}, issn = {{1865-1348}}, pages = {{65--79}}, publisher = {{Springer}}, title = {{{Compressing XML Data Streams with DAG+BSBC}}}, doi = {{10.1007/978-3-642-01344-7_6}}, year = {{2008}}, }