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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Big data, key factor for the knowledge society
TL;DR: In this paper, the influence of Big Data on the knowledge society through a review of the state of the art supported by research articles and books published in the last 15 years is analyzed.
Journal ArticleDOI
Studying the Inter-Relationship amongst the Barriers to Implementation of Analytics in Manufacturing Supply Chains
TL;DR: This research work focuses on studying and exploring the barriers to implementation of analytics or big data analytics to manufacturing supply chains, and further study the interrelationship amongst them with the help of Interpretive Structural Modelling (ISM) methodology.
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Review the Utilization of Big Data and K-Means Algorithm in Supporting The Determination of Village Status As Support To The Ministry of Village PDTT
TL;DR: This research aims to produce a description of the role of big data in supporting activities in a grouping by involving an algorithm process and using a qualitative approach related to data collection based on scientific work with the source of data information needed to study literature techniques from various studies.
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Eco-Innovation and Industry 4.0: A Big Data Usage conceptual model
TL;DR: In this article, the authors conduct an analysis of previously published research literature and contribute to this emerging research area looking at Big Data Usage from a strategic and organizational perspective, particularly as the world becomes more concerned about the environment.
Proceedings ArticleDOI
Diffusion of Abstractive Summarisation to Improve Ease of Use and Usefulness
TL;DR: Based on analysis, five main factors were identified as influencing the adoption of the abstractive summarisation method, and complexity, practical effectiveness, experimental, shortened output and lack of friendliness were discussed towards gaining a better understanding of how the diffusion of abstractive summary method can be improved.
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