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A Quantitative Regression Study of t...

Alsay, Jerry.

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A Quantitative Regression Study of the Effect of Security Factors on the Social Engineering Awareness Level of Healthcare End-Users.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Quantitative Regression Study of the Effect of Security Factors on the Social Engineering Awareness Level of Healthcare End-Users./
Author:	Alsay, Jerry.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	137 p.
Notes:	Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
Contained By:	Dissertations Abstracts International80-09B.
Subject:	Information Technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10979006
ISBN:	9780438970991

A Quantitative Regression Study of the Effect of Security Factors on the Social Engineering Awareness Level of Healthcare End-Users.
Alsay, Jerry.

A Quantitative Regression Study of the Effect of Security Factors on the Social Engineering Awareness Level of Healthcare End-Users. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 137 p.

Source: Dissertations Abstracts International, Volume: 80-09, Section: B.

Thesis (D.I.T.)--Capella University, 2019.

This item must not be sold to any third party vendors.

Social engineering attacks are a significant cause for data breaches among healthcare organizations that electronically transmit health information in the United States. Such breaches are costly for healthcare organizations, can negatively impact patients, and are becoming increasingly common. The purpose of this quantitative study was to address the research question: to what extent does organizational security factors, information security awareness factors, and individual security factors predict the level of social engineering awareness among end-users of healthcare organizations. The theoretical framework for the study was based on transformational leadership theory, organizational security culture, and the theory of planned behavior. Multiple regression was used to analyze data collected from a sample of 113 employees of healthcare organizations in the continental United States. The level of social engineering awareness was found to be statistically significantly associated with both individual security factors and information security awareness factors. However, no significant relationship was found between organizational security factors and the level of social engineering awareness. The results indicate that to improve social engineering awareness among employees, management should focus more on individual security factors and information security awareness factors and not on organization security factors.

ISBN: 9780438970991Subjects--Topical Terms:

1030799
Information Technology.
Subjects--Index Terms:

Cybersecurity

A Quantitative Regression Study of the Effect of Security Factors on the Social Engineering Awareness Level of Healthcare End-Users.
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520 $a Social engineering attacks are a significant cause for data breaches among healthcare organizations that electronically transmit health information in the United States. Such breaches are costly for healthcare organizations, can negatively impact patients, and are becoming increasingly common. The purpose of this quantitative study was to address the research question: to what extent does organizational security factors, information security awareness factors, and individual security factors predict the level of social engineering awareness among end-users of healthcare organizations. The theoretical framework for the study was based on transformational leadership theory, organizational security culture, and the theory of planned behavior. Multiple regression was used to analyze data collected from a sample of 113 employees of healthcare organizations in the continental United States. The level of social engineering awareness was found to be statistically significantly associated with both individual security factors and information security awareness factors. However, no significant relationship was found between organizational security factors and the level of social engineering awareness. The results indicate that to improve social engineering awareness among employees, management should focus more on individual security factors and information security awareness factors and not on organization security factors.
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