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

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dc.contributor.author Williams, Susan
dc.contributor.author Hardy, Catherine
dc.contributor.author Nitschke, Patrick
dc.date.accessioned 2019-01-03T00:42:55Z
dc.date.available 2019-01-03T00:42:55Z
dc.date.issued 2019-01-08
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/60020
dc.description.abstract Big 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.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Business Intelligence, Business Analytics and Big Data: Innovation, Deployment and Management
dc.subject Organizational Systems and Technology
dc.subject Big data analytics, Governance, Internet of Things, Responsible Research and Innovation, Scale
dc.title Configuring The Internet of Things (IoT): A Review and Implications for Big Data Analytics
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2019.706
Appears in Collections: Business Intelligence, Business Analytics and Big Data: Innovation, Deployment and Management


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