A Conceptual Reference Framework for Data-driven Supply Chain Collaboration

Anna-Maria Nitsche, Anna-Maria Nitsche, Christian-Andreas Schumann, Bogdan Franczyk, Bogdan Franczyk

Abstract

This paper presents the preliminary results of the systematic empirically based development of a conceptual reference framework for data-driven supply chain collaboration based on the process model for empirically grounded reference modelling by Ahlemann and Gastl. The wider application of collaborative supply chain management is a requirement of increasingly competitive and global supply networks. Thus, the different aspects of supply chain collaboration, such as inter-organisational exchange of data and knowledge as well as sharing are considered to be essential factors for organisational growth. The paper attempts to fill the gap of a missing overview of this field by providing the initial results of the development of a comprehensive framework of data-driven supply chain collaboration. It contributes to the academic debate on collaborative enterprise architecture within collaborative supply chain management by providing a conceptualisation and categorisation of supply chain collaboration. Furthermore, this paper presents a valuable contribution to supply chain processes in organisations of all sectors by both providing a macro level perspective on the topic of collaborative supply chain management and by delivering a practical contribution in the form of an adaptable reference framework for application in the information technology sector.

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Paper Citation


in Harvard Style

Nitsche A., Schumann C. and Franczyk B. (2021). A Conceptual Reference Framework for Data-driven Supply Chain Collaboration. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-509-8, pages 751-758. DOI: 10.5220/0010474107510758


in Bibtex Style

@conference{iceis21,
author={Anna-Maria Nitsche and Christian-Andreas Schumann and Bogdan Franczyk},
title={A Conceptual Reference Framework for Data-driven Supply Chain Collaboration},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2021},
pages={751-758},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010474107510758},
isbn={978-989-758-509-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Conceptual Reference Framework for Data-driven Supply Chain Collaboration
SN - 978-989-758-509-8
AU - Nitsche A.
AU - Schumann C.
AU - Franczyk B.
PY - 2021
SP - 751
EP - 758
DO - 10.5220/0010474107510758