Tamjidyamcholo et al., 2014: Evaluation Model for Knowledge Sharing in Information Security Professional Virtual Community

Topic:

Perceived consequences, affect, and facilitating conditions have significant effects on knowledge sharing behavior. In contrast, social factors have shown insignificant effects on knowledge sharing behavior in information security communities. The results of the study demonstrate that there is a positive and strong relationship between knowledge sharing behavior and information security risk reduction expectation.

Survey, 142 responses

Constructs in this publication:

Construct Cites Category Questions given? Content validity Pretests Response type Notes
Knowledge sharing behavior Hsu et al., 2007, Lin et al., 2009 yes 2 phd students pilot 5-point likert scales
Usefulness Cheung et al., 2000, Al-Khaldi, 1999 Perceived consequences yes 2 phd students pilot 5-point likert scales
Social interaction Huang, 2009, Chang, 2011 Perceived consequences yes 2 phd students pilot 5-point likert scales
Reputation Chang, 2011, Hsu, 2008 Perceived consequences yes 2 phd students pilot 5-point likert scales
Affect Jeon et al., 2011 yes 2 phd students pilot 5-point likert scales
Social factor Bergeron et al., 1995, Hsu, 2008 yes 2 phd students pilot 5-point likert scales
Facilitating conditions Jeon et al., 2011 yes 2 phd students pilot 5-point likert scales
Information security risk reduction expectation Feledi et al., 2013, Feledi, 2012, Tamjidyamcholo et al., 2013 yes 2 phd students pilot 5-point likert scales

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Citation:

Alireza Tamjidyamcholo, Mohd Sapiyan Bin Baba, Nor Liyana Mohd Shuib, and Vala Ali Rohani. Evaluation model for knowledge sharing in information security professional virtual community. Computers & Security, 43:19–34, June 2014. doi:10.1016/j.cose.2014.02.010.

Bibtex


@article{tamjidyamcholo_evaluation_2014,
 abstract = {Knowledge sharing has been proven to have affirmative effects on both the education and business sectors. Nevertheless, many professional virtual communities (PVC) have failed due to reasons, such as the low willingness of members to share knowledge with other members. In addition, it is not explicitly evident whether knowledge sharing in information security is able to reduce risk. To date, there have been relatively few empirical studies concerning the effects of knowledge sharing and its capability to reduce risk in information security communities. This paper proposes a model that is composed of two main parts. The first part is the Triandis theory, which is adapted to understand and foster the determinants of knowledge sharing behavior in PVCs. The second part explores the quantitative relationship between knowledge sharing and security risk reduction expectation. One hundred and forty-two members from the LinkedIn information security groups participated in this study. PLS analysis shows that perceived consequences, affect, and facilitating conditions have significant effects on knowledge sharing behavior. In contrast, social factors have shown insignificant effects on knowledge sharing behavior in information security communities. The results of the study demonstrate that there is a positive and strong relationship between knowledge sharing behavior and information security risk reduction expectation.},
 author = {Tamjidyamcholo, Alireza and Bin Baba, Mohd Sapiyan and Shuib, Nor Liyana Mohd and Rohani, Vala Ali},
 doi = {10.1016/j.cose.2014.02.010},
 issn = {0167-4048},
 journal = {Computers \& Security},
 keywords = {Information Security,risk,Knowledge sharing,Professional virtual community},
 month = {June},
 pages = {19-34},
 title = {Evaluation Model for Knowledge Sharing in Information Security Professional Virtual Community},
 volume = {43},
 year = {2014}
}