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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Building a living economy through modern information decision support systems and UN sustainable development goals
TL;DR: The sustainable development goals (SDGs) set up by the United Nations in 2015 has mounted significant pressure on world economies and business organizations to achieve them by 2030 as mentioned in this paper, which is the goal of the SDGs.
Journal ArticleDOI
Contractor Selection for Construction Projects Using Consensus Tools and Big Data
TL;DR: The results showed that fuzzy AHP and fuzzy TOPSIS methodologies are able to assess contractors’ Big Data in a more scientific and practical way and helped to select the best contractor or share the projects between equally strong contractors.
Journal ArticleDOI
The use of product scarcity in marketing
TL;DR: In this article, a systematic review was conducted to identify and analyse 66 research papers published in business and management journals between 1970 and 2017, and developed a conceptual framework that describes the key factors of product scarcity and how they influence both consumers and the market.
Proceedings ArticleDOI
Implementing Big Data Lake for Heterogeneous Data Sources
Hassan Mehmood,Ekaterina Gilman,Marta Cortes,Panos Kostakos,Andrew Byrne,Katerina Valta,Stavros Tekes,Jukka Riekki +7 more
TL;DR: A data lake approach built on Big Data technologies is suggested, to gather all the data together for further analysis and visualization of the results.
Book ChapterDOI
A Standardised Approach for Preparing Imaging Data for Machine Learning Tasks in Radiology
Hugh Harvey,Ben Glocker +1 more
TL;DR: This chapter proposes a new medical imaging data readiness (MIDaR) scale, designed to objectively clarify data quality for both researchers seeking imaging data and clinical providers aiming to share their data.
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