Abstract
This thesis explores how digital twins enable explorative business process design patterns and whether their adoption leads to measurable improvements in process performance. Although digital twins are recognized for their potential in automation, real-time monitoring, and predictive decision-making, little empirical evidence exists on their role in process innovation. Building on Rosemann’s framework of explorative design patterns and the Task-Technology Fit (TTF) theory, the study examines how specific digital twin functionalities—such as real-time synchronization, data integration, and bidirectional links—support process redesign. The research combines survey data with case insights from organizations in areas such as after-sales, recycling, and redistribution. Linear regression will be used to test the relationship between TTF scores and performance outcomes. The expected findings suggest that digital twins create value when their characteristics align with task requirements, while adoption barriers such as limited training and usability issues may restrict their impact.
Recommended Citation
Schrage, Tennessee, "Evaluating the Implementation of Explorative Process Design
Patterns Enabled by the Digital Twin – A Task-Technology
Fit Perspective" (2025). ACIS 2025 Proceedings. 284.
https://aisel.aisnet.org/acis2025/284