A Conceptual Reference Framework for Data-driven Supply Chain Collaboration

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

2021

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.

Download


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