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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Antecedents of big data analytics adoption: an analysis with future managers in a developing country
TL;DR: In this article , the authors identify the antecedents' factors that positively and negatively influence the intention to use big data analytics (BDA) by future managers of companies and present influencing factors for future managers.
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Research data management literacy amongst lecturers at Strathmore University, Kenya
TL;DR: In this paper, a mixed-methods approach was used to collect, analyse and interpret quantitative and qualitative data from lecturers at Strathmore University in Nairobi, Kenya.
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Measuring the Big Data Readiness of Developing Countries – Index Development and its Application to Africa
TL;DR: In this article, a design science approach is used to develop the "Big Data Readiness Index" (BDRI), which is then applied to all African countries to answer the second research question: how do African countries perform in terms of the BDRI?
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Investigating the influence of big data analytics capabilities and human resource factors in achieving supply chain innovativeness
TL;DR: In this paper , the authors aim to bridge the gap in understanding how big data analytics and human resource factors impact supply chain innovation and enhance supply chain sustainability, and they synthesize literature and develop an integrated research model that combines technology and human resources factors altogether to investigate supply chain innovativeness and sustainability in supply chain performance.
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