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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Digitalizing procurement: the impact of data analytics on supply chain performance
TL;DR: In this article, the authors investigated how digital procurement capabilities are linked to data analytics capabilities and supply chain operational performance and how this links to business success, and proposed the conceptual model and hypotheses for empirical testing.
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Examining the role of procurement 4.0 towards remanufacturing operations and circular economy
TL;DR: In this paper, the close attention of firms is required during the configuration of procurement 4.0 rst-generation systems, which can provide significant opportunities for excellence in remanufacturing operations.
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The ‘big data’ myth and the pitfalls of ‘thick data’ opportunism: on the need for a different ontology of markets and consumption
TL;DR: The twin pillars of big data and data analytics are rapidly transforming the institutional conditions that situate marketing research as mentioned in this paper, and many proponents of culturalist paradigms are attempting to counter this trend.
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Big data analytics as a tool for fighting pandemics: a systematic review of literature.
TL;DR: The types and sources of data used in cases of previous epidemics and pandemics were identified, as well as techniques for treating these data, and it was showed that the main Sources of data come from social media and Internet search engines.
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AI applications of data sharing in agriculture 4.0: A framework for role-based data access control
TL;DR: The concept of Data Sharing Agreements (DSAs) is presented as an essential path and a template for AI applications of data management among various actors and adopts design science principles and develops role-based access control based on AI techniques.
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