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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Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices
TL;DR: In this article, the authors developed and tested a holistic model that depicts and examines the relationships among green innovation, its drivers, as well as factors that help overcome the technological challenges and influence the performance and competitive advantage of the firm.
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A survey towards an integration of big data analytics to big insights for value-creation
Mandeep Kaur Saggi,Sushma Jain +1 more
TL;DR: This article presents a comprehensive, well-informed examination, and realistic analysis of deploying big data analytics successfully in companies and presents a methodical analysis for the usage of Big Data Analytics in various applications such as agriculture, healthcare, cyber security, and smart city.
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Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review
TL;DR: In this article, the authors investigated the role of Artificial Intelligence (AI) in the construction of sustainable business models (SBMs) and provided a quantitative overview of the academic literature that constitutes the field.
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Big data analytics as an operational excellence approach to enhance sustainable supply chain performance
TL;DR: In this paper, the authors used dynamic capability theory as a foundation for evaluating the role of BDA capability as an operational excellence approach in improving sustainable supply chain performance, and identified two pathways that managers can use to improve sustainable supply-chain outcomes in the mining industry based on big data analytics capabilities.
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Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities
TL;DR: In this article, the authors employed institutional theory and resource-based view theory to elucidate the way in which automotive firms configure tangible resources and workforce skills to drive technological enablement and improve sustainable manufacturing practices and furthermore develop circular economy capabilities.
References
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Proceedings ArticleDOI
Application of Web 2.0 Technologies in E-Government: A United Kingdom Case Study
TL;DR: It is concluded that a combined analysis of the evaluation and impact factors rather than a singular approach would better assist the decision making process that leads to effective application of Web 2.0 technologies.
Journal ArticleDOI
Countering the concept-drift problems in big data by an incrementally optimized stream mining model
Hang Yang,Simon Fong +1 more
TL;DR: A singletree with an optimized node-splitting mechanism to detect the drift in a test-then-training tree-building process and shows that the new algorithm performs with good accuracy while a more compact model size and less use of memory than the others.
Journal ArticleDOI
MOMTH: multi-objective scheduling algorithm of many tasks in Hadoop
TL;DR: A multi-objective scheduling algorithm of many tasks in Hadoop for big data processing, named MOMTH, which considers objective functions related to users and resources in the same time with constraints like deadline (scheduling in due time) and budget.
Journal ArticleDOI
Efficient Multipattern Event Processing Over High-Speed Train Data Streams
TL;DR: Experimental results show that MPEP can effectively optimize the complex event detection process and improve its throughput by eliminating duplicate automata states and redundant computations.
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Scheduling algorithm based on prefetching in MapReduce clusters
TL;DR: The experiment results have shown that the HPSO (High Performance Scheduling Optimizer), a prefetching service based task scheduler to improve data locality for MapReduce jobs, can reduce the map tasks causing remote data delay, and improves the performance of Hadoop clusters.