Security and Privacy Risk Associated Cloud Computing

Security and Privacy Risk Associated Cloud Computing

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Security and Privacy Risk Associated Cloud Computing

Security And Privacy Risks Associated Of Cloud Computing:

A Correlational Study

by

Edgardo Vargas Moya

SHAWON S. M. RAHMAN, PhD, Faculty Mentor, and Chair

WENBIN LUO, PhD, Committee Member

WILLIAM J. McKIBBIN, PhD, Committee Member

Todd C. Wilson, PhD, Dean, School of Business and Technology

A Dissertation Presented in Partial Fulfillment

Of the Requirements for the Degree

Doctor of Philosophy

Capella University

April 2021

SECURITY & PRIVACY RISK ASSOCIATED CLOUD COMPUTING

© Edgardo Vargas Moya, 2021

SECURITY & PRIVACY RISK ASSOCIATED CLOUD COMPUTING

Abstract

The study investigates the relationship between security and privacy risks and their connection

with the adoption of cloud computing in the business sector. The scholarly literature has an

existing gap regarding threat severity, threat susceptibility, response efficacy, and self-efficacy in

adopting cloud computing. The investigation variables are from the protection motivation theory

(PMT) and the theory of planned behavior (TPB). Due to those mentioned earlier, the study has

two research questions. The first question is, to what extent do perceptions of threat severity,

threat susceptibility, response efficacy, and self-efficacy on security risks contribute to the

variance in the intention to adopt cloud computing in the business sector? The second question

is, to what extent do perceptions of threat severity, threat susceptibility, response efficacy, and

self-efficacy on private risks contribute to the variance in the intention to adopt cloud computing

in the business sector? The subquestions, null, and alternative hypotheses measure each

independent variable factor, individually. The methodology for the study is quantitative with a

correlational approach. Individuals with a minimum of five years of experience, in information

technology (IT), in the United States are the target population. The demographic information in

the survey questionnaire included sex, years of employment, application service area, and

geographical area. Participants answered questions from a survey; the collected data used a

Likert-type 1-to-7-point scale, ranking the responses. The multiple correlational (R) and the

multiple correlations squared (R2) coefficients of the multiple linear regression answered the two

research questions and determined the effect of the variables. The F distribution and probability

(p) are the values to confirm the results obtained. The findings, based on the research literature

and the statistical data, showed each examined factor affects the intention to adopt cloud

SECURITY & PRIVACY RISK ASSOCIATED CLOUD COMPUTING

computing to different degrees. In the investigation results the most significant effect was self-

efficacy for a security risk situation, R(216) = .55, R2 = .30, p < .00001. Also the most significant

effect was self-efficacy for a privacy risk situation, R(216) = .61, R2 = .37, p < .00001. A

practical implication from the investigation, training is essential for both IS personnel and

company officers. Corporate officials’ hesitation in adopting new technology, such as cloud

computing, can be reduced. The impact of facilitating training for the Information Systems (IS)

personnel allows the personnel a better understanding of cloud computing technology. The

training needs to include techniques on deploying the new technology and methods in

safeguarding against threats. Another implication of this training leads to obtain better results

regardless of the other three factors. Company officials and IS personnel need to collaborate in

the implementation of cloud computing. The investigation concludes that both training and

collaboration will have an immediate positive impact by improving the adoption and

implementation of cloud computing technology.

SECURITY & PRIVACY RISK ASSOCIATED CLOUD COMPUTING

iii

Dedication

I wish to thank God for His compassion in my successful completion of the entire

doctoral program, especially during the challenging moments. Without you, I would not have

achieved this goal. This dissertation is dedicated to all my family, especially to my parents, Mr.

José Vargas and Mrs. Doris Moya, who showed me the way of studying and fighting for my

goals. My sister, Linette Vargas, has always supported me during my challenges and in my

achievements. The dedication is extended to Jarel and Jareliz, my nephews, bringing joy to my

life, during this process. To my friend Abraham Aponte and his family, for their encouragement

throughout the academic and dissertation process. To my coworkers at the Interamerican

University of Puerto Rico, Aguadilla Campus, especially Dr. José Otaola, for his support. Again

thank all for your patience and help during my academic quest.

SECURITY & PRIVACY RISK ASSOCIATED CLOUD COMPUTING

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