Critical analysis of Big Data challenges and analytical methods
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In this article, the authors present a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions.About:
This article is published in Journal of Business Research.The article was published on 2017-01-01 and is currently open access. It has received 1267 citations till now. The article focuses on the topics: Analytics & Big data.read more
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Journal ArticleDOI
Big Data Analytics and Its Role to Support Groundwater Management in the Southern African Development Community
TL;DR: It is shown that sufficient big data exist in groundwater domain and that BDA exists to be used in groundwater sciences thereby providing the basis to further explore data-driven sciences in groundwater management.
Journal ArticleDOI
Behavioral economics in information systems research: Critical analysis and research strategies:
David Arnott,Shijia Gao +1 more
TL;DR: Theories of decision-making have long been important foundations for information systems research and much of the information system is concerned with information processing for decision making as discussed by the authors, which is the basis for this paper.
Journal ArticleDOI
Elucidation of big data analytics in banking: a four-stage Delphi study
TL;DR: The results revealed that the most important applications of big data in banks are “fraud detection” and “credit risk analysis", and the focal challenge threatening the efforts and expected outputs is “information silos and unintegrated data.”
Journal ArticleDOI
Impacts of big data analytics management capabilities and supply chain integration on global sourcing: a survey on firm performance
TL;DR: In this article, the authors used a conceptual attitude model to show that big data analytics management capability leads to an increase in firm performance by the mediating role of integration, using an online questionnaire, 158 managers from 13 Iranian companies taking advantage of the global sourcing process.
Book ChapterDOI
Semantic Data Integration of Big Biomedical Data for Supporting Personalised Medicine
TL;DR: The results of applying the knowledge-driven framework in the EU funded project iASiS are reported on in order to transform big data into actionable knowledge, paving thus the way for personalised medicine.
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