Configuring The Internet of Things (IoT): A Review and Implications for Big Data Analytics

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dc.contributor.authorWilliams, Susan
dc.contributor.authorHardy, Catherine
dc.contributor.authorNitschke, Patrick
dc.date.accessioned2019-01-03T00:42:55Z
dc.date.available2019-01-03T00:42:55Z
dc.date.issued2019-01-08
dc.description.abstractBig data analytics is emerging as a key initiative in the IoT field as data grows at unprecedented scale and depth. However, considerable uncertainty remains about how organizations are using big data analytics to capitalize on IoT. In this paper we argue that there is a need for a more refined depiction of the relationship between IoT and big data analytics as it tends to be linked by technological and economic viewpoints. Three principal claims are made. Firstly, there is a pressing need to clarify the characteristics configuring and shaping the discourses around IoT. We find that IoT is characterized as a complex, (more than) technological, multi-scale and multi-level information infrastructure that is emergent and uncertain. Secondly, the unique characteristics of IoT are challenging governance capabilities in big data analytics. Thirdly, the impact of IoT through big data analytics for building ‘sustainable futures’ raises questions about responsible research and innovation.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.706
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/60020
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBusiness Intelligence, Business Analytics and Big Data: Innovation, Deployment and Management
dc.subjectOrganizational Systems and Technology
dc.subjectBig data analytics, Governance, Internet of Things, Responsible Research and Innovation, Scale
dc.titleConfiguring The Internet of Things (IoT): A Review and Implications for Big Data Analytics
dc.typeConference Paper
dc.type.dcmiText

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