Date of Conferral

2019

Degree

Doctor of Information Technology (D.I.T.)

School

Information Systems and Technology

Advisor

Cassandra Bowland

Abstract

Cloud computing emerged as an alternative to traditional in-house data centers that businesses can leverage to increase the operation agility and employees' productivity. IT solution architects are tasked with presenting to IT managers some analysis reflecting cloud computing adoption critical barriers and challenges. This quantitative correlational study established an enhanced technology acceptance model (TAM) with four external variables: perceived security (PeS), perceived privacy (PeP), perceived connectedness (PeN), and perceived complexity (PeC) as antecedents of perceived usefulness (PU) and perceived ease of use (PEoU) in a cloud computing context. Data collected from 125 participants, who responded to the invitation through an online survey focusing on Afghanistan's main cities Kabul, Mazar, and Herat. The analysis showed that PEoU was a predictor of the behavioral intention of cloud computing adoption, which is consistent with the TAM; PEoU with an R2 = .15 had a stronger influence than PU with an R2 = .023 on cloud computing behavior intention of adoption and use. PeN, PeS, and PeP significantly influenced the behavioral intentions of IT architects to adopt and use the technology. This study showed that PeC was not a significant barrier to cloud computing adoption in Afghanistan. By adopting cloud services, employees can have access to various tools that can help increase business productivity and contribute to improving the work environment. Cloud services, as an alternative solution to home data centers, can help businesses reduce power consumption and consecutively decrease in carbon dioxide emissions due to less power demand.

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