Business Process Technology
Permanent URI for this collectionhttps://hdl.handle.net/10125/112534
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Item type: Item , From Logs to Language and Vision: A Review on Integrating Multimodal Data into Predictive Process Monitoring(2026-01-06) Hafner, Alina; Kim, Noah; Wittges, HolgerPredictive Process Monitoring (PPM) forecasts future outcomes of business processes based on event logs. However, current approaches often overlook rich multimodal data – such as text, audio, video, and sensor inputs – that are increasingly generated in real-world settings. This paper presents a systematic literature review of 89 studies on multimodal data integration in PPM and related BPM tasks. We identify dominant modalities (e.g., sensor and text), methodological trends, and application domains, along with key challenges such as data fusion complexity, scarcity of labeled datasets, and model interpretability. At the same time, we highlight opportunities, including context-aware prediction, synthetic data augmentation, and real-time decision support. We propose future research directions which lay the foundation for advancing multimodal, intelligent BPM systems in complex environments.Item type: Item , Citizen Developers at Work: Roles, Activities, and Interfaces in Low-Code/No-Code Development(2026-01-06) Kampmann, Marlon; Femmer, Henning; Kouadria, Dehbia; Plattfaut, Ralf; Coners, AndreCitizen Development (CDev) refers to a low-code/no-code (LCNC) paradigm, where non-IT employees develop digital solutions using low-code or no-code tools. In this approach, employees without formal IT education develop solutions within their application domain and outside the traditional structures of IT departments. While CDev is often contrasted with software development conducted by IT professionals, it remains unclear to what extent citizen developers (CD) follow similar development practices. To investigate this, we conducted an empirical study involving 21 LCNC developers, including 17 CDs and four IT professionals from 14 different companies. We analyzed the actual development practices and derived roles, their activities, and interfaces. The study contributes to a differentiated role concept for CDev and highlights the future opportunities for the condensation of best practices in the CDev process. The findings contribute to a deeper understanding of CDev practices and provide a basis for formalizing and optimizing LCNC processes.Item type: Item , Process Mining IoT-Enriched Tyre Lifecycles for Predictive Maintenance Across Fleet Operators(2026-01-06) Dorniak, Jens; Hoberg, KaiTyre maintenance remains a cost-critical process for trailer fleets, yet the industry’s tread-depth rule often prompts premature replacements. We propose an IoT-aware process-mining bridge that fuses build records, workshop events, and 15-min telematics into 7 826 tyre lifecycles (> 60 000 events). Gradient-boosted trees trained on 25 lifecycle-level stress features reach R² = 0.60 and MAE ≈ 7 900 km on a 2024/25 hold-out set. Inverse-power learning curves from 10 %, 20 %, … to 100 % training slices (422 → 4 226 lifecycles) reveal a sharp elbow: accuracy plateaus after ≈ 2 500 lifecycles (60 %), and the remaining data trim MAE by only 22 km (< 0.3 %). The study quantifies data-efficiency thresholds and offers actionable benchmarks for process-technology adoption in predictive tyre maintenance. It also demonstrates how IoT-enriched event logs can be leveraged within business-process-technology frameworks to support continuous improvement and regulatory-compliance assurance.Item type: Item , Discovering the Impact of Regulation Changes on Processes: Findings from a Process Science Study in Finance(2026-01-06) Wurzer, Antonia; Hartl, Sophie; Franzoi, Sandro; Vom Brocke, JanRegulatory changes such as new environmental, social and government (ESG) requirements can profoundly impact how organizations operate, especially by altering their business processes. Yet, we still know little about the connection between the implementation of regulatory changes in corporate information systems (IS) and their dynamic effects on business processes. This study addresses that gap by investigating how regulatory changes, once embedded in an IS, affect the trade order process of a European financial institution. Conducting a process science study, specifically using both digital trace data and qualitative insights, we identify patterns between regulation implementation and process performance indicators. Our findings show that these indicators shift dynamically after regulatory changes and that such shifts are shaped by contextual factors such as employee experience. These insights underscore the need to move beyond static views of compliance and toward a nuanced understanding of how regulation implementation unfolds over time in technology-mediated work environments.Item type: Item , On the Business Value of Declarative Business Process Management(2026-01-06) Keramidis, Panagiotis; Hildebrandt, ThomasThe business value of Business Process Management (BPM) systems is a prominent topic for research and practice. Several existing conceptualizations of BPM business value inform on the benefits afforded by BPM systems and their measurements. Most of the knowledge on business value follows the imperative BPM paradigm, since this is the more widely followed process conceptualization. Yet, there are alternative conceptualizations and they afford different business value instances, with the declarative paradigm being one of them. By applying conceptual frameworks built for the imperative paradigm to the declarative applications creates mismatches and misses the unique business value dimensions afforded specifically from the declarative paradigm. We address this problem, by conducting a longitudinal single case study on the business value of a set of declarative BPM systems. We identify themes and measurements for the declarative BPM business value, offering conceptual clarity and actionable measurements that can benefit both researchers and practitioners.Item type: Item , Introduction to the Minitrack on Business Process Technology(2026-01-06) Leopold, Henrik; Corea, Carl; Depaire, Benoit