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Employee adoption of information sec...
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Rose, Desmond M.
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Employee adoption of information security measures in the manufacturing sector using extended TAM under a quantitative study.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Employee adoption of information security measures in the manufacturing sector using extended TAM under a quantitative study./
Author:
Rose, Desmond M.
Description:
150 p.
Notes:
Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
Contained By:
Dissertation Abstracts International76-12B(E).
Subject:
Information technology. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3718652
ISBN:
9781321985641
Employee adoption of information security measures in the manufacturing sector using extended TAM under a quantitative study.
Rose, Desmond M.
Employee adoption of information security measures in the manufacturing sector using extended TAM under a quantitative study.
- 150 p.
Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
Thesis (Ph.D.)--Capella University, 2015.
Organizations spend billions of dollars on information and data security, and most of this expenditure is directed externally; however, there is ample evidence in the literature that employees account for most security breaches. For information security (IS) measures to work, employees need to adopt the organization's information system security measures. To understand employees' adoption of security systems in the manufacturing industry in the US, this empirical study tested the extended Technology Acceptance model and Theory of Planned behavior in relation to employees' perceptions of the IS measures usefulness, ease of use, and subjective norms and how these perceptions predicted their intention to use the security measures. Additionally, under investigation was whether age and employees' perception of managerial support moderated the aforementioned perceptions to affect employees' intention to use the security measures. Results of a standard multiple regression and a hierarchical regression indicated that the TAM and the TBP explained variances in the DV; however, contrary to extant literature, employees' perceived usefulness of IS measures did not statistically significantly predict their intention to use IS measures. Implications of these findings are discussed, as well as recommendations for future research.
ISBN: 9781321985641Subjects--Topical Terms:
532993
Information technology.
Employee adoption of information security measures in the manufacturing sector using extended TAM under a quantitative study.
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Employee adoption of information security measures in the manufacturing sector using extended TAM under a quantitative study.
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150 p.
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Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
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Advisers: Sharon Gagnon; Jill Kaspszak.
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Thesis (Ph.D.)--Capella University, 2015.
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Organizations spend billions of dollars on information and data security, and most of this expenditure is directed externally; however, there is ample evidence in the literature that employees account for most security breaches. For information security (IS) measures to work, employees need to adopt the organization's information system security measures. To understand employees' adoption of security systems in the manufacturing industry in the US, this empirical study tested the extended Technology Acceptance model and Theory of Planned behavior in relation to employees' perceptions of the IS measures usefulness, ease of use, and subjective norms and how these perceptions predicted their intention to use the security measures. Additionally, under investigation was whether age and employees' perception of managerial support moderated the aforementioned perceptions to affect employees' intention to use the security measures. Results of a standard multiple regression and a hierarchical regression indicated that the TAM and the TBP explained variances in the DV; however, contrary to extant literature, employees' perceived usefulness of IS measures did not statistically significantly predict their intention to use IS measures. Implications of these findings are discussed, as well as recommendations for future research.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3718652
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