The popularization of professional virtual communities (PVCs) as a platform for people to share experiences and knowledge has produced a paradox of convenience versus security. The desire to communicate results in disclosure where users experience ongoing professional and social interaction. Excessive disclosure and unsecured user security behavior in PVCs increase users' vulnerability to technology threats. Nefarious entities frequently use PVCs such as LinkedIn to launch digital attacks. Hence, users are faced with a gamut of technology threats that may cause harm to professional and personal lives. Few studies, however, have examined users' information security behavior and their motivation to engage in technology threat avoidance behavior in a PVC.
This study tested a professional virtual community technology threat avoidance model empirically. The model was developed from the conceptualization of different aspects of the technology threat avoidance theory, social cognitive theory, and involvement theory through an integrated approach. This quantitative study employed a random sampling methodology. Prior to collecting data for the main study an expert panel review and a pilot study were conducted. A web-based survey designed with a 5-point Likert scale was distributed to 1285 LinkedIn members to gather self-reported data on users' technology threat avoidance behavior. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the data gathered from 380 respondents.
The results of the data analysis revealed that perceived susceptibility, perceived severity, and information security knowledge sharing are strong predictors of avoidance motivation. Information security knowledge sharing had the most significant predicting effect on avoidance motivation in PVCs. Also, self-efficacy, group norms, and avoidance motivation all have a significant predicting effect on users' information security avoidance behavior in PVCs. However, information security experience and safeguarding measure cost do not have a significant predicting effect on users' information security avoidance motivation. This study makes significant contributions to the IS body of knowledge and has implications for practitioners and academics. This study offers a comprehensive model through the integration of behavioral and cognitive theories to better understand user information security behavior in PVCs. The model also identifies essential elements to motivate users to engage in technology threat avoidance behavior.
|Commitee:||Hur, Inkyoung, Paul, Souren|
|School:||Nova Southeastern University|
|Department:||Information Systems (DISS)|
|School Location:||United States -- Florida|
|Source:||DAI-B 80/11(E), Dissertation Abstracts International|
|Keywords:||Information security, Professional virtual communities, Technology threat avoidance, User information security, Virtual communities|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be