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Critical analysis of Big Data challenges and analytical methods

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TLDR
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.
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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.

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Improving Agility Using Big Data Analytics: The Role of Democratization Culture

TL;DR: This study examines the moderating effect of organizational culture on the link between BDA use and agility and suggests that the moderates effects of democratization culture on agility are different depending on whether it is combined with advanced or basic Bda use.
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Hadoop‐based analytic framework for cyber forensics

TL;DR: An architectural setup that consists of MapReduce framework on top of Hadoop Distributed File System environment and supervised machine learning (random forest‐based decision tree) algorithm has been implemented to demonstrate better sensitivity.
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Selling circularity: Understanding the relationship between circularity promotion and the performance of manufacturing SMEs in Italy

TL;DR: In this paper, the authors investigated the communication intensity of companies adopting circular economy (CE) practices, with the aim of assessing the extent to which promoting circularity increases their economic performance (measured as return on assets), disentangling this effect for the different quantiles of the ROA distribution.
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A review of big data analysis methods for baleen whale passive acoustic monitoring

TL;DR: A literature review of baleen whale PAM analysis methods was conducted to encourage robust research methods that are comparable across studies and sectors, achievable across research groups, and consistent with previous work.
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Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review

TL;DR: The extent to which the process of systematic review can be applied to the management field in order to produce a reliable knowledge stock and enhanced practice by developing context-sensitive research is evaluated.
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Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review

TL;DR: In this article, the authors evaluate the process of systematic review used in the medical sciences to produce a reliable knowledge stock and enhanced practice by developing context-sensitive research and highlight the challenges in developing an appropriate methodology.
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Beyond the hype

TL;DR: The need to develop appropriate and efficient analytical methods to leverage massive volumes of heterogeneous data in unstructured text, audio, and video formats is highlighted and the need to devise new tools for predictive analytics for structured big data is reinforced.
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