Digital privacy GDPR: a proposed digital transformation framework

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dc.contributor.authorRussell, Kenneth D.
dc.contributor.authorO'Raghallaigh, Paidi
dc.contributor.authorO'Reilly, Philip
dc.contributor.authorHayes, Jeremy
dc.date.accessioned2018-11-14T10:21:43Z
dc.date.available2018-11-14T10:21:43Z
dc.date.issued2018-08-16
dc.description.abstractThe art and science of successful digital transformation lies in the organization’s ability to implement change at pace, across people, processes, and platforms. While many enterprises begin with brave ambitions, just a few manage to plan, implement and deliver those initial aspirations. The GDPR privacy challenge is symptomatic, being digitally substantial, and oftentimes underestimated. Time-critical transformation demands maintaining change-momentum through employee involvement earlier in the initiative. Our objective in this paper is to evolve a framework to guide engagement, and to assist in the identification and measurement of propensity for change in digital privacy. This paper describes a design science approach to developing the trusted framework to identify and measure resource gaps, both organizational and individual. The resulting Gap-Map framework evolved over several multinational transformation programmes, evaluated through workshops, interviews, surveys, and advanced use-cases. The artefact was found to enable informed decision-making resulting in comprehensive implementation of GDPR (General Data Protection Regulation), through building a shared understanding of those gaps.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRussell, K. D., O'Raghallaigh, P., O'Reilly, P. and Hayes, J. (2018) ‘Digital privacy GDPR: a proposed digital transformation framework’, Proceedings of the 24th Americas Conference on Information Systems (AMCIS 2018), New Orleans, LA, August 16-18. Available at: https://aisel.aisnet.org/amcis2018/DataScience/Presentations/36/ (Accessed: 14 November 2018)en
dc.identifier.endpage10en
dc.identifier.isbn978-0-9966831-6-6
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/7111
dc.language.isoenen
dc.publisherAssociation for Information Systemsen
dc.relation.ispartofAMCIS 2018 - 24th Americas Conference on Information Systems
dc.relation.urihttps://aisel.aisnet.org/amcis2018/DataScience/Presentations/36/
dc.rights© 2018, the Authors. Published by the Association for Information Systems (AIS). All rights reserved.en
dc.subjectGDPRen
dc.subjectDigital transformationen
dc.subjectPrivacyen
dc.subjectShared understandingen
dc.subjectInternal intelligenceen
dc.subjectGap-Map frameworken
dc.titleDigital privacy GDPR: a proposed digital transformation frameworken
dc.typeConference itemen
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