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Authors: Anna-Maria Nitsche 1 ; 2 ; Christian-Andreas Schumann 1 and Bogdan Franczyk 3 ; 2

Affiliations: 1 Faculty of Business and Economics, University of Applied Sciences Zwickau, Zwickau, Germany ; 2 Faculty of Economics and Management Science, University of Leipzig, Leipzig, Germany ; 3 Department of Information Systems, Wrocław University of Economics, Wrocław, Poland

ISBN: 978-989-758-509-8

ISSN: 2184-4992

Keyword(s): Empirically Grounded Reference Modelling, Supply Chain Collaboration, Digitalisation, Collaborative Enterprise Architecture.

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 collab oration. 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. (More)

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Paper citation in several formats:
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; ISSN 2184-4992, pages 751-758. DOI: 10.5220/0010474107510758

@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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Nitsche, A.
AU - Schumann, C.
AU - Franczyk, B.
PY - 2021
SP - 751
EP - 758
DO - 10.5220/0010474107510758

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