Big Data Methods

Volume: 21, Issue: 3, Pages: 525 - 547
Published: Nov 16, 2016
Abstract
Advances in data science, such as data mining, data visualization, and machine learning, are extremely well-suited to address numerous questions in the organizational sciences given the explosion of available data. Despite these opportunities, few scholars in our field have discussed the specific ways in which the lens of our science should be brought to bear on the topic of big data and big data's reciprocal impact on our science. The purpose...
Paper Details
Title
Big Data Methods
Published Date
Nov 16, 2016
Volume
21
Issue
3
Pages
525 - 547
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