The Use of Big Data Analytics in Information Systems Research

2018 ◽  
Author(s):  
Parupudi Aditya Vineet Kumar
2022 ◽  
pp. 1231-1248
Author(s):  
Marouane Balmakhtar ◽  
Scott E. Mensch

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.


Author(s):  
Marouane Balmakhtar ◽  
Scott E. Mensch

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.


2017 ◽  
Vol 31 (3) ◽  
pp. 1-4 ◽  
Author(s):  
A. Faye Borthick ◽  
Robin R. Pennington

ABSTRACT Big Data and the data analytical software for analyzing it have developed far enough that some trends have emerged. People are clever. Leave them alone with resources and they will do interesting things with them, giving both intended and unintended consequences. This commentary stems from the 2016 Journal of Information Systems Research Conference (JISC2016) on Big Data. It highlights the landscape of Big Data, including how organizations are starting to use data in different ways. While it is true that some of what this commentary offers does not, strictly speaking, require Big Data with respect to volume, diversity, and structure, the connotations that Big Data bestowed have prompted new ways to stage and use data. For example, “70% of firms now say that big data is of critical importance to their firms” (Malone 2016). The articles in this issue were presented as papers at JISC2016. They treat different aspects of the growing availability and use of data in organizations.


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