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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Managing climate change risks in global supply chains: a review and research agenda
TL;DR: It is found that climate change driven by extreme weather conditions significantly impacts food production, natural resources and transportation worldwide, and direct impact on food, mining and logistics sectors cascades into other interlinked global supply chain network.
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Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches
TL;DR: It is demonstrated that the insights obtained from big building data can be extremely helpful for enriching the existing knowledge repository regarding building energy modeling and the big data-driven research paradigm will become an essential supplement to existing scientific research methods in the building sector.
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History, Evolution and Future of Big Data and Analytics: A Bibliometric Analysis of Its Relationship to Performance in Organizations
Sasa Batistic,Paul van der Laken +1 more
TL;DR: In this paper, the authors present a review of big data and analytics (BDA) research, using three bibliometric methods: co-citation analysis, historical evolution of BDA and performance research and its substreams through algorithmic historiography.
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Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis
J. Piet Hausberg,Kirsten Liere-Netheler,Sven Packmohr,Sven Packmohr,Stefanie Pakura,Kristin Vogelsang +5 more
TL;DR: In this paper, the authors provide an overview of the different disciplines of digital transformation research from a holistic business perspective, focusing on three dominant areas in literature: finance, marketing, and innovation management.
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Does big data enhance firm innovation competency? The mediating role of data-driven insights
Maryam Ghasemaghaei,Goran Calic +1 more
TL;DR: In this paper, the authors collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on firm innovation competency mediated through data-driven insight generation.
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