Patterns for IoT-based Business Process Improvements: Developing a Metamodel

Christoph Stoiber, Stefan Schönig

2022

Abstract

The number of Internet of Things (IoT) devices is constantly growing across all areas of private and professional life. Especially industrial organizations are increasingly recognizing the IoT’s disruptive capabilities and potential benefits for business processes along all value chain activities. In this regard, the integration of IoT technology into existing business processes enables valuable Business Process Improvements (BPI). However, it often remains unclear which BPIs can be expected by organizations and how the anticipated BPIs are realized in detail. Furthermore, the integration of IoT technology into existing business processes constitutes a major challenge caused by a lack of supporting methods, models, or guidelines. The paper at hand addresses this research gap by providing a metamodel that enables the illustration of generic IoT-based BPI patterns. It contains all relevant elements that are comprised by IoT applications with BPI propositions and can be used by industrial organizations as blueprints for conducting IoT projects. The metamodel development follows fundamental principles of design science research (DSR) and is extensively evaluated by deriving a first set of patterns from real-life IoT applications of three market- leading corporations. In addition, an expert survey is conducted to assess the metamodel’s usefulness.

Paper Citation

in Harvard Style

Stoiber C. and Schönig S. (2022). Patterns for IoT-based Business Process Improvements: Developing a Metamodel. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-569-2, pages 655-666. DOI: 10.5220/0011059300003179

in Bibtex Style

@conference{iceis22,
author={Christoph Stoiber and Stefan Schönig},
title={Patterns for IoT-based Business Process Improvements: Developing a Metamodel},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2022},
pages={655-666},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011059300003179},
isbn={978-989-758-569-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Patterns for IoT-based Business Process Improvements: Developing a Metamodel
SN - 978-989-758-569-2
AU - Stoiber C.
AU - Schönig S.
PY - 2022
SP - 655
EP - 666
DO - 10.5220/0011059300003179