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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Design principles for creating digital transparency in government
TL;DR: A set of barriers to digital transparency in government is identified, 16 design principles to overcome such barriers are defined, and these principles are evaluated using three case studies from different countries.
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The profile of innovation driven Italian SMEs and the relationship between the firms’ networking abilities and dynamic capabilities
TL;DR: In this paper, the authors developed a framework depicting the traits and profile of the innovation driven SMEs operating in the Italian manufacturing sector based on a detailed examination of the existent literature and the findings that emerged from an empirical study carried out within Italian manufacturing SMEs.
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Data Science as an Innovation Challenge: From Big Data to Value Proposition
TL;DR: The transformation process from first ideas to ready analytics applications or in building analytics competence is covered, which seeks to address the gap in clear strategies and process for value generation from data.
Journal ArticleDOI
Machine learning approach for systematic analysis of energy efficiency potentials in manufacturing processes: A case of battery production
Sebastian Thiede,Artem Turetskyy,Thomas Loellhoeffel,Arno Kwade,Sami Kara,Christoph Herrmann +5 more
TL;DR: A methodology based on machine learning is presented, which has the capability of identifying improvement potentials using machine and process specific influencing factors.
Proceedings ArticleDOI
A Review on Applications of Big Data for Disaster Management
TL;DR: The paper will first presents the visual definition of disaster management and describes big data, then illustrate the findings and give future recommendations after a systematic literature review on the applications of big data in disaster management.
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