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Digital architectures: frameworks for supply chain data and Information governance

Digital architectures: frameworks for supply chain data and Information governance
Digital architectures: frameworks for supply chain data and Information governance
Advances in digitalization present new and emerging Supply Chain (SC) Information Architectures that rely on data and information as vital resources. While the importance of data and information in SCs has long been understood, there is a dearth of research or understanding about the effective governance, control, or management of data ecosystems at the SC level. This chapter examines data architectures through a navigation of the background of database management and data quality research of previous decades. The chapter unfolds the critical architectural elements around data and information sharing in the SC regarding the context, systems, and infrastructure. A review of various frameworks and conceptual models is presented on data and information in SCs, as well as access control policies. The critical importance of data quality and the management of data in the cyber-physical systems are highlighted. Policies for data sharing agreements (DSAs) and access control are discussed and the importance of effective governance in the distributed environments of digitally enabled SCs is emphasized. We extend the concept of data sharing agreements to capture the interplay between the various SC stakeholders around data use. Research gaps and needs relevant to new and emerging SC data and information ecosystems are highlighted.
147-161
Elsevier
Spanaki, Konstantina
bd7cf80d-ce07-4b50-a8c9-b064daae8d32
Karafili, Erisa
f5efa31c-22b8-443e-8107-e488bd28918e
Despoudi, Stella
117b08d8-3934-4a64-8abb-4311c2bebec4
MacCarthy, Bart L
Ivanov, Dmitry
Spanaki, Konstantina
bd7cf80d-ce07-4b50-a8c9-b064daae8d32
Karafili, Erisa
f5efa31c-22b8-443e-8107-e488bd28918e
Despoudi, Stella
117b08d8-3934-4a64-8abb-4311c2bebec4
MacCarthy, Bart L
Ivanov, Dmitry

Spanaki, Konstantina, Karafili, Erisa and Despoudi, Stella (2022) Digital architectures: frameworks for supply chain data and Information governance. In, MacCarthy, Bart L and Ivanov, Dmitry (eds.) The Digital Supply Chain. Elsevier, pp. 147-161. (doi:10.1016/B978-0-323-91614-1.00009-5).

Record type: Book Section

Abstract

Advances in digitalization present new and emerging Supply Chain (SC) Information Architectures that rely on data and information as vital resources. While the importance of data and information in SCs has long been understood, there is a dearth of research or understanding about the effective governance, control, or management of data ecosystems at the SC level. This chapter examines data architectures through a navigation of the background of database management and data quality research of previous decades. The chapter unfolds the critical architectural elements around data and information sharing in the SC regarding the context, systems, and infrastructure. A review of various frameworks and conceptual models is presented on data and information in SCs, as well as access control policies. The critical importance of data quality and the management of data in the cyber-physical systems are highlighted. Policies for data sharing agreements (DSAs) and access control are discussed and the importance of effective governance in the distributed environments of digitally enabled SCs is emphasized. We extend the concept of data sharing agreements to capture the interplay between the various SC stakeholders around data use. Research gaps and needs relevant to new and emerging SC data and information ecosystems are highlighted.

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Chapter 3.1 Digital Architectures
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Published date: June 2022

Identifiers

Local EPrints ID: 478422
URI: http://eprints.soton.ac.uk/id/eprint/478422
PURE UUID: 67f4306c-3ef1-4441-b8a2-94756d7f59b4
ORCID for Erisa Karafili: ORCID iD orcid.org/0000-0002-8250-4389

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Date deposited: 30 Jun 2023 16:49
Last modified: 17 Mar 2024 03:59

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Contributors

Author: Konstantina Spanaki
Author: Erisa Karafili ORCID iD
Author: Stella Despoudi
Editor: Bart L MacCarthy
Editor: Dmitry Ivanov

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