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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Human resources analytics: A systematization of research topics and directions for future research
TL;DR: A systematic literature review process deconstructs the concept of human resources analytics as presented in a vast although fragmented literature, and identifies 106 key research topics associated to three major areas, i.e. enablers of HR analytics, applications and value.
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An empirical investigation of online review helpfulness: A big data perspective
Hoon Seok Choi,Steven Leon +1 more
TL;DR: The major findings include (1) review extremity, review depth, and reviewer expertise have a positive effect on review helpfulness; (2) review inconsistency, product intangibility, product satisfaction, product popularity, product variety, and review experience have negative effects; and (3) product intangsibility moderates the effect of review extremities and depth onreview helpfulness.
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The digitization of agricultural industry – a systematic literature review on agriculture 4.0
TL;DR: In this article , a systematic literature review based on Protocol of Preferred Reporting Items for Systematic Reviews and Meta-Analyses is conducted to analyse the scientific literature related to crop farming published in the last decade.
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A survey study on Internet of Things resource management
Abishi Chowdhury,Shital A. Raut +1 more
TL;DR: There is still a lot of scope in improving IoT resource management maintaining the overall quality needed, and the paper considers with such a future direction of research in this field.
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Understanding market agility for new product success with big data analytics
TL;DR: The study is reasonably telling in that it shows that the effective use of data aggregation and data analysis tools results in customer agility which in itself explains how an organisation senses and responds speedily to opportunities for innovation in the competitive marketing environment.
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