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Perceived Behaviors and Security Com...

Beugre, Goli Marius.

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Perceived Behaviors and Security Compliance Intention of Employees Processing Big Data: A Correlational Study.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Perceived Behaviors and Security Compliance Intention of Employees Processing Big Data: A Correlational Study./
作者:	Beugre, Goli Marius.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	139 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-06, Section: A.
Contained By:	Dissertations Abstracts International81-06A.
標題:	Information technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27664294
ISBN:	9781392680988

Perceived Behaviors and Security Compliance Intention of Employees Processing Big Data: A Correlational Study.
Beugre, Goli Marius.

Perceived Behaviors and Security Compliance Intention of Employees Processing Big Data: A Correlational Study. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 139 p.

Source: Dissertations Abstracts International, Volume: 81-06, Section: A.

Thesis (Ph.D.)--Capella University, 2019.

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

Big data is a new information system paradigm that is composed of structured, unstructured, or semi-structured datasets. The data model is believed to be the dataset of the future as its advent provides many benefits. The benefits include improved productivity and competitiveness of organizations, enhanced marketing and planning scenarios, effective forecasting and decision-making prospects, and better sale opportunities. Despite all the advantages of big data, practitioners and scholars identified several security issues, some of which are new challenges to current information security solutions and data regulations. Hence, there are limited data points in the information security research literature that address the unconventional security problems related to big data. Additionally, employees account for more than half of noncompliance security issues in firms. The purpose of this nonexperimental correlational study is to examine the relationships between the perceived behaviors and security compliance intention of employees of client organizations that process big data. A client organization refers to a firm that stores and processes its owned big data from a cloud computing service provider's facility. The theoretical foundation of this study consisted of a framework composed of deterrence theory, the theory of planned behavior, and protection motivation theory. The population for this research encompassed IT professionals who specialized in big data and worked for big data owner client organizations. These IT professionals resided in the United States of America, had at least a bachelor's degree and five years of work experience, and were twenty-seven years of age or more. SurveyGizmo collected data from 169 participants operating in different industries. The study used multiple linear regression analysis with the stepwise method and the IBM SPSS statistical software to process and analyze the collected data. The findings of the study were that the subjective norm, self-efficacy, perceived certainty of detection, and security attitude constructs were statistically significant in their correlation with security compliance intention of employees of client organizations that process big data. However, the perceived probability of security breach, perceived severity of security breach, response cost, response efficacy, and severity of sanction constructs were not statistically significant in their correlation with security compliance intention of employees of client organizations that process big data. Given the findings of this research, practitioners and researchers should continue to develop security policies that emphasize the subjective norm, self-efficacy, perceived certainty of detection, and security attitude behaviors of employees in organizations. Further investigations of the perceived certainty of security breach and response efficacy constructs using different instruments are recommended for future research due to opposing findings of previous studies.

ISBN: 9781392680988Subjects--Topical Terms:

532993
Information technology.

Perceived Behaviors and Security Compliance Intention of Employees Processing Big Data: A Correlational Study.
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