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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The digitalisation of manufacturing and blurring industry boundaries
TL;DR: In this paper , the authors integrate previously disparate theories and constructs into a single conceptual framework to elucidate the mechanisms by which digital technologies make industry boundaries increasingly permeable, and illustrated with references to recent developments in the automotive industry.
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An Improved Multi-Modal based Machine Learning Approach for the Prognosis of Alzheimer’s disease
TL;DR: In this article , the authors proposed a five-stage ML pipeline, where each stage was further categorized in different sub-levels and the performance metrics for Random Forest (RF) classifier showed the highest output in the classification accuracy.
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Awareness and Perception of the Artificial Intelligence in the Management of University Libraries in Nigeria
Owolabi Kehinde Abayomi,Fauziyah Nihinlolawa Adenekan,Olateju Abayomi Adeleke,Taiwo Abosede Ajayi,Adesina Olaitan Aderonke +4 more
TL;DR: In this article, the authors investigated the awareness and perception about artificial intelligence in the management of universit al. in developed countries, and found that artificial intelligence has a positive effect on the performance of the university management.
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Archetypes of Supply Chain Analytics Initiatives—An Exploratory Study
Tino T. Herden,Steffen Bunzel +1 more
TL;DR: Based on a cluster analysis applied to 46 case studies of Supply Chain Analytics, 6 archetypes of initiatives in SCA are proposed to provide orientation for managers as means to overcome barriers and build competitive advantage.
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A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection
TL;DR: A systematic literature review is conducted to critically evaluate 76 articles on IoMT systems for different medical applications, especially for COVID-19 and other health sectors and proposes a framework, named ‘cov-AID’, that remotely monitors and diagnoses the disease.
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