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A quantitative investigation of the ...
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Trident University International.
A quantitative investigation of the security factors affecting the use of IT systems in public networks.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
A quantitative investigation of the security factors affecting the use of IT systems in public networks./
作者:
Mitra, Sanjeev.
面頁冊數:
1 online resource (586 pages)
附註:
Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.
Contained By:
Dissertation Abstracts International78-02B(E).
標題:
Information technology. -
電子資源:
click for full text (PQDT)
ISBN:
9781369036800
A quantitative investigation of the security factors affecting the use of IT systems in public networks.
Mitra, Sanjeev.
A quantitative investigation of the security factors affecting the use of IT systems in public networks.
- 1 online resource (586 pages)
Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.
Thesis (Ph.D.)
Includes bibliographical references
This research investigated whether the System Security Quality of IT Systems like mobile technologies when used in public networks like the Wi-Fi Internet had a positive effect on their users' behavioral intentions to use such systems. The motivation for doing this research was based on to investigate what is the System Security Quality of mobile technologies and how is it perceived by users of those technologies when used in public networks like the Internet (Wi-Fi). The relevant theories identified for this research were Technology Acceptance Model, Technology Threat Avoidance Theory, Theory of Planned Behavior, Self-Efficacy in Information Security, Protection Motivation Theory and 'IS' Success Model. The main constructs are System Security Quality of IT Systems, Users' perceptions about System Security Quality of IT Systems, Users' Behavioral Intentions to use IT Systems, Users' Self-Efficacy about IT Systems Security, and Users' Response Efficacy about IT Systems security. Web based questionnaire using Likert scale was used for data collection online. Statistical analysis was done using SPSS by Factor Analysis, Anova and Multiple Regression Analysis. Hypotheses testing was also done by techniques like Structural Equation Modeling, using AMOS and SmartPLS. In the research model Users' Response Efficacy (URE) was found to have the strongest impact on Users' Behavioral Intentions to use (UBIU) the Mobile Technologies. By itself the System Security Quality (SSQ) was also found to be positively associated with UBIU but not when considered as part of the research model. UPSSQ fully mediated the relation between SSQ and UBIU. Practically this study showed that manufacturers of smartphones should offer secure VPN to users to increase their behavioral intentions to use such mobile technologies more in insecure WiFi. This study can be repeated in secured WiFi in US universities to measure actual IT usage which was a limitation in this study. Original contribution of this study was that it extended the IS success model by including Security Effectiveness of the IT Systems as an additional measure of IT System's Security Quality.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781369036800Subjects--Topical Terms:
559429
Information technology.
Index Terms--Genre/Form:
554714
Electronic books.
A quantitative investigation of the security factors affecting the use of IT systems in public networks.
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This research investigated whether the System Security Quality of IT Systems like mobile technologies when used in public networks like the Wi-Fi Internet had a positive effect on their users' behavioral intentions to use such systems. The motivation for doing this research was based on to investigate what is the System Security Quality of mobile technologies and how is it perceived by users of those technologies when used in public networks like the Internet (Wi-Fi). The relevant theories identified for this research were Technology Acceptance Model, Technology Threat Avoidance Theory, Theory of Planned Behavior, Self-Efficacy in Information Security, Protection Motivation Theory and 'IS' Success Model. The main constructs are System Security Quality of IT Systems, Users' perceptions about System Security Quality of IT Systems, Users' Behavioral Intentions to use IT Systems, Users' Self-Efficacy about IT Systems Security, and Users' Response Efficacy about IT Systems security. Web based questionnaire using Likert scale was used for data collection online. Statistical analysis was done using SPSS by Factor Analysis, Anova and Multiple Regression Analysis. Hypotheses testing was also done by techniques like Structural Equation Modeling, using AMOS and SmartPLS. In the research model Users' Response Efficacy (URE) was found to have the strongest impact on Users' Behavioral Intentions to use (UBIU) the Mobile Technologies. By itself the System Security Quality (SSQ) was also found to be positively associated with UBIU but not when considered as part of the research model. UPSSQ fully mediated the relation between SSQ and UBIU. Practically this study showed that manufacturers of smartphones should offer secure VPN to users to increase their behavioral intentions to use such mobile technologies more in insecure WiFi. This study can be repeated in secured WiFi in US universities to measure actual IT usage which was a limitation in this study. Original contribution of this study was that it extended the IS success model by including Security Effectiveness of the IT Systems as an additional measure of IT System's Security Quality.
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