Big Data Analytics Adoption Factors in Improving Information Systems Security

Autor:	Scott Mensch, Marouane Balmakhtar
Rok vydání:	2019
Předmět:	business.industry 020204 information systems 0502 economics and business 05 social sciences Big data 0202 electrical engineering electronic engineering information engineering Information systems security 02 engineering and technology business Data science 050203 business & management
Zdroj:	International Journal of Strategic Information Technology and Applications. 10:1-21
ISSN:	1947-3109 1947-3095
DOI:	10.4018/ijsita.2019070101
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2fe96e661847cff0330176552f34e30e https://doi.org/10.4018/ijsita.2019070101 Zobrazit plný text záznamu