JISAR

Journal of Information Systems Applied Research

Volume14

V14 N2 Pages 22-30

Jun 2021


A Comparative Study on Information Technology (IT) Infrastructure and Disaster Recovery Methodology


Samuel Sambasivam
Woodbury University
Burbank CA

Delester Brown Jr
Colorado Technical University
Colorado Springs, CO USA

Abstract: The threats of disruptions to business continuity looms over companies as they enhance more capabilities using information technology (IT) infrastructures. What is the best way to divert a disaster that occurs in IT infrastructure? Many individuals are unsure as to the best method. The research introduces to readers a quantitative correlational design of this conceptual frame centered on a specific population, a research investigation, and forecasted plans of research execution. A comprehensive literature covering subjects like software-defined network principles, business continuity, and their connection to unified theory of acceptance and use of technology included in the study. The participants, information technology professionals, located in the Southeastern region of the U.S. will benefit from the anticipated value or impact to the problem domain. By extracting information from a survey questionnaire instrument, data is analyzed primarily using binary logistic regression calculations. The research goal is to determine if a significant quantitative difference exists between distinct variables and two different types of recovery methodologies; traditional backup and virtualization. This study analyzes variables such as key performance indicators, education, recovery experience, and professions to develop insight concerning the current status of recovery methodology.

Download this article: JISAR - V14 N2 Page 22.pdf


Recommended Citation: Sambasivam, S., Brown Jr, D., (2021). A Comparative Study on Information Technology (IT) Infrastructure and Disaster Recovery Methodology. Journal of Information Systems Applied Research14(2) pp 22-30. http://JISAR.org/2021-2/ ISSN : 1946 - 1836. A preliminary version appears in The Proceedings of CONISAR 2020