Data science: developing theoretical contributions in information systems via text analytics
Abstract
Scholars have been increasingly calling for innovative research in the organizational sciences in general, and the information systems (IS) field in specific, one that breaks from the dominance of gap-spotting and specific methodical confinements. Hence, pushing the boundaries of information systems is needed, and one way to do so is by relying more on data and less on a priori theory. Data, being considered one of the most important resources...
Paper Details
Title
Data science: developing theoretical contributions in information systems via text analytics
Published Date
Jan 9, 2020
Journal
Volume
7
Issue
1
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