Assessing Big Data Analytics Capability and Sustainability in Supply Chains

dc.contributor.author Cetindamar, Dilek
dc.contributor.author Shdifat, Baraah
dc.contributor.author Erfani, Shadi
dc.date.accessioned 2020-01-04T07:10:35Z
dc.date.available 2020-01-04T07:10:35Z
dc.date.issued 2020-01-07
dc.description.abstract Big data analytics capability (BDAC) is a technology-based capability, which can influence sustainability performance of firms in supply chains. By using BDAC strategically, supply chains could improve their responses to social, environmental, and social changes taking place in uncertain business environments. This paper presents a detailed literature review on the two ends of the equation: BDACs and sustainability in supply chains performance (SSCP). The theoretical perspective of the dynamic capabilities helps us to understand BDAC holistically, a combination of non-human and human capabilities. Then, we adapt the three-bottom-line approach: economic, environmental, and social performance in order to offer a comprehensive measurement of SSCP Based on the overview of the literature, the paper offers metrics to be used in assessing both BDAC and SSCP that can advance the understanding of the relationship between them.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.026
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/63765
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd 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 and Big Data for Innovative and Sustainable Development of Organizations
dc.subject big data analytics capability
dc.subject literature review
dc.subject supply chain
dc.subject sustainability
dc.title Assessing Big Data Analytics Capability and Sustainability in Supply Chains
dc.type Conference Paper
dc.type.dcmi Text
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