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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Bigprovision: a provisioning framework for big data analytics
Huan Li,Kejie Lu,Shicong Meng +2 more
TL;DR: This article proposes a novel provisioning framework, BigProvision, to provision big data analytics systems and develops an experimental prototype that supports three analytics platforms, Hadoop, Spark, and GraphLab, and demonstrates that the proposed framework has great potential to facilitate the provision and optimization of future big data Analytics systems.
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Scalable nearest neighbor query processing based on Inverted Grid Index
TL;DR: This paper presents distributed approaches that construct a novel distributed spatial data index: Inverted Grid Index, which is a combination of inverted index and grid partition, and demonstrates the efficiency and scalability of the NN query algorithms based on Inverted grid Index.
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Datafication and the Seductive Power of Uncertainty—A Critical Exploration of Big Data Enthusiasm
TL;DR: This contribution explores the fine line between overestimated expectations and underrepresented momentums of uncertainty that correlate with the prevalence of big data.
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PEBIL: binary instrumentation for practical data-intensive program analysis
Michael A. Laurenzano,Joshua Peraza,Laura Carrington,Ananta Tiwari,William A. Ward,Roy L. Campbell +5 more
TL;DR: Two novel mechanisms in the PEBIL binary instrumentation platform are detailed that make it well-suited for analyzing data-intensive programs by providing support for fast lookup of instrumentation thread-local storage (ITLS) and for the fast enabling and disabling ofstrumentation at runtime as a methodology for supporting sampling.
There's gold to be mined from all our data
Tim Berners-Lee,Nigel Shadbolt +1 more
TL;DR: The article on the economic potential of Open Data first appeared in The Times 31st Dec 2011.