Big Data Analytics Adoption Factors in Improving Information Systems Security

Marouane Balmakhtar and Scott E. Mensch
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Marouane Balmakhtar: Northern Virginia Community College, USA
Scott E. Mensch: Indiana University of Pennsylvania, USA

International Journal of Strategic Information Technology and Applications (IJSITA), 2019, vol. 10, issue 3, 1-21

Abstract: This research measured determinants that influence the willingness of IT/IA professionals to recommend Big Data analytics to improve information systems security in an organization. A review of the literature as well as the works of prior researchers provided the basis for formulation of research questions. Results of this study found that security effectiveness, organizational need, and reliability play a role in the decision to recommend big data analytics to improve information security. This research has implications for both consumers and providers of big data analytics services through the identification of factors that influence IT/IA professionals. These factors aim to improve information systems security, and therefore, which service offerings are likely to meet the needs of these professionals and their organizations.

Date: 2019
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