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Authors: Christoph Stoiber and Stefan Schönig

Affiliation: University of Regensburg, Germany

Keyword(s): Internet of Things, Decision Model, Business Process Improvement, Analytical Hierarchy Process.

Abstract: Following the trend of Industry 4.0 and Cyber-Physical Systems (CPS), many industrial companies perform costly projects to integrate Internet of Things (IoT) applications aiming at beneficial business process improvements. However, deciding on the right IoT projects is challenging and often based on unilateral assessments that lack the required profoundness. A suitable method for deciding on specific IoT applications is required that incorporates the desired goals and considers the underlying process details. We therefore propose a structured decision model that considers IoT application clusters, anticipated Business Process Improvement (BPI) goals, and details of the process where the application should be implemented. At first, specific IoT application clusters are developed by conducting an extensive literature review. These clusters are examined regarding several characteristic such as their value proposition or technical aspects. Using this information, an Analytical Hierarchy Process (AHP) model is proposed, that incorporates the main objective, relevant BPI dimensions, and the formulated application clusters. To validate our approach, we applied the model to an actual business process of a leading industrial company. (More)

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Paper citation in several formats:
Stoiber, C. and Schönig, S. (2021). Process-aware Decision Support Model for Integrating Internet of Things Applications using AHP. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 869-876. DOI: 10.5220/0010400208690876

@conference{iceis21,
author={Christoph Stoiber. and Stefan Schönig.},
title={Process-aware Decision Support Model for Integrating Internet of Things Applications using AHP},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2021},
pages={869-876},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010400208690876},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Process-aware Decision Support Model for Integrating Internet of Things Applications using AHP
SN - 978-989-758-509-8
IS - 2184-4992
AU - Stoiber, C.
AU - Schönig, S.
PY - 2021
SP - 869
EP - 876
DO - 10.5220/0010400208690876
PB - SciTePress