From the editors: Big data and management
Academy of Management Journal, ISSN: 0001-4273, Vol: 57, Issue: 2, Page: 321-326
2014
- 861Citations
- 17,978Usage
- 1,970Captures
- 5Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations861
- Citation Indexes844
- 844
- CrossRef481
- Academic Citation Index (ACI) - airiti3
- Policy Citations15
- Policy Citation15
- Patent Family Citations2
- Patent Families2
- Usage17,978
- Downloads16,319
- 16,319
- Abstract Views1,659
- 1,659
- Captures1,970
- Readers1,970
- 1,219
- 751
- Mentions5
- References5
- Wikipedia5
Review Description
Big data is everywhere. In recent years, there has been an increasing emphasis on big data, business analytics, and "smart" living and work environments. Though these conversations are predominantly practice driven, organizations are exploring how large-volume data can usefully be deployed to create and capture value for individuals, businesses, communities, and governments (McKinsey Global Institute, 2011). Whether it is machine learning and web analytics to predict individual action, consumer choice, search behavior, traffic patterns, or disease outbreaks, big data is fast becoming a tool that not only analyzes patterns, but can also provide the predictive likelihood of an event.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84900399014&origin=inward; http://dx.doi.org/10.5465/amj.2014.4002; http://journals.aom.org/doi/10.5465/amj.2014.4002; https://journals.aom.org/doi/10.5465/amj.2014.4002; https://ink.library.smu.edu.sg/lkcsb_research/4621; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=5620&context=lkcsb_research; https://dx.doi.org/10.5465/amj.2014.4002; https://journals.aom.org/doi/abs/10.5465/amj.2014.4002
Academy of Management
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