PESTLE+ risk analysis model to assess pandemic preparedness of digital ecosystems

Anwar, MJ; Gill, AQ; Fitzgibbon, AD; Gull, I

PESTLE+ risk analysis model to assess pandemic preparedness of digital ecosystems

Anwar, MJ Gill, AQ Fitzgibbon, AD Gull, I

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Publisher:: John Wiley & Sons
Publication Type:: Journal Article
Citation:: Security & Privacy, 2022, 5, (1)
Issue Date:: 2022-01-03

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Field	Value	Language
dc.contributor.author	Anwar, MJ
dc.contributor.author	Gill, AQ
dc.contributor.author	Fitzgibbon, AD
dc.contributor.author	Gull, I
dc.date.accessioned	2022-11-22T07:25:12Z
dc.date.available	2022-11-22T07:25:12Z
dc.date.issued	2022-01-03
dc.identifier.citation	Security & Privacy, 2022, 5, (1)
dc.identifier.issn	1540-7993
dc.identifier.issn	2475-6725
dc.identifier.uri	http://hdl.handle.net/10453/163654
dc.language	en
dc.publisher	John Wiley & Sons
dc.relation.ispartof	Security & Privacy
dc.relation.isbasedon	10.1002/spy2.187
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0802 Computation Theory and Mathematics, 0803 Computer Software, 0804 Data Format
dc.subject.classification	Strategic, Defence & Security Studies
dc.title	PESTLE+ risk analysis model to assess pandemic preparedness of digital ecosystems
dc.type	Journal Article
utslib.citation.volume	5
utslib.for	0802 Computation Theory and Mathematics
utslib.for	0803 Computer Software
utslib.for	0804 Data Format
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/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-11-22T07:25:11Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	5
utslib.citation.issue	1

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

http://hdl.handle.net/10453/163654