Numerical, secondary Big Data quality issues, quality threshold establishment, & guidelines for journal policy development
An IS researcher may obtain Big Data from primary or secondary data sources. Sometimes, acquiring primary Big Data is infeasible due to availability, accessibility, cost, time, and/or complexity considerations. In this paper, we focus on Big Data-based IS research and discuss ways in which one may,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2019
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |