A Review of General Data Protection Regulation for Supply Chain Ecosystem

Dasgupta, A; Gill, AQ; Hussain, F

A Review of General Data Protection Regulation for Supply Chain Ecosystem

Dasgupta, A

Gill, AQ

Hussain, F

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Citation:: Advances in Intelligent Systems and Computing, 2020, 994 pp. 456 - 465
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Dasgupta, A https://orcid.org/0000-0002-0645-5984
dc.contributor.author	Gill, AQ https://orcid.org/0000-0001-6239-6280
dc.contributor.author	Hussain, F https://orcid.org/0000-0003-1513-8072
dc.date.accessioned	2020-06-18T05:59:33Z
dc.date.available	2020-06-18T05:59:33Z
dc.date.issued	2020-01-01
dc.identifier.citation	Advances in Intelligent Systems and Computing, 2020, 994 pp. 456 - 465	en_US
dc.identifier.isbn	9783030222628
dc.identifier.issn	2194-5357
dc.identifier.uri	http://hdl.handle.net/10453/141517
dc.description.abstract	© 2020, Springer Nature Switzerland AG. The data-intensive digital supply chain management (SCM) ecosystems seem to be impacted by the recent changes in the regulations and advancement in technologies such as Artificial Intelligence, Big Data, Analytics, Networking, IoT including proliferation of less expensive hardware devices. There is limited guidance available on how to govern the logistics sector, particularly from a regulatory compliance perspective. Through this paper, we investigate the impact of General Data Protection Regulation (GDPR) on digitized SCM. The key questions are: What are the GPDR specific legal obligations? What is the best approach to manage data access, quality, privacy, security and ownership effectively in SCM? This research paper aims to assist researchers and practitioners to understand the impact of GDPR on SCM, provide the 4I (Identify, Insulate, Inspect, Improve) Framework and its applicability to streamline the GDPR compliance activities.	en_US
dc.relation.ispartof	Advances in Intelligent Systems and Computing	en_US
dc.relation.isbasedon	10.1007/978-3-030-22263-5_44	en_US
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	A Review of General Data Protection Regulation for Supply Chain Ecosystem	en_US
utslib.citation.volume	994	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	recently_added	*
pubs.publication-status	Published	en_US
pubs.volume	994	en_US

Abstract:

© 2020, Springer Nature Switzerland AG. The data-intensive digital supply chain management (SCM) ecosystems seem to be impacted by the recent changes in the regulations and advancement in technologies such as Artificial Intelligence, Big Data, Analytics, Networking, IoT including proliferation of less expensive hardware devices. There is limited guidance available on how to govern the logistics sector, particularly from a regulatory compliance perspective. Through this paper, we investigate the impact of General Data Protection Regulation (GDPR) on digitized SCM. The key questions are: What are the GPDR specific legal obligations? What is the best approach to manage data access, quality, privacy, security and ownership effectively in SCM? This research paper aims to assist researchers and practitioners to understand the impact of GDPR on SCM, provide the 4I (Identify, Insulate, Inspect, Improve) Framework and its applicability to streamline the GDPR compliance activities.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/141517