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Testing a Model of Users' Web Risk Information Seeking Intention.

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Title: Testing a Model of Users' Web Risk Information Seeking Intention.
Authors: Lixuan Zhang1 gzhang@gru.edu, Pavur, Robert2 robert.pavur@unt.edu, York, Paul1 pyork@gru.edu, Amos, Clinton3 clint.amos@gmail.com
Source: Informing Science. 2013, Vol. 16, p1-18. 18p.
Subjects: Research on Internet users, Computer security research, Scripting languages (Computer science), College students, Affect (Psychology)
Geographic Terms: United States
Abstract: This study aims to understand the web risk information seeking intention of end users. Applying the risk information seeking and processing model (RISP), this paper examines end users' web risk information seeking intention. Hypotheses are proposed concerning the intention to seek information about one emerging web risk: cross site scripting. Data were collected from 201 college students in the southern United States. The results suggest that information insufficiency, informational subjective norm, and affective response are positively related to web risk information seeking intention. In addition, informational subjective norm and negative affect are positively related to information insufficiency. Negative affect is determined by perceived vulnerability and perceived severity of the web risk. The study proves RISP to be an adequate model to use in the web risk context and provides an enriched understanding about users' intention to seek web risk information. [ABSTRACT FROM AUTHOR]
Copyright of Informing Science is the property of Informing Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="AR" term="%22Lixuan+Zhang%22">Lixuan Zhang</searchLink><relatesTo>1</relatesTo><i> gzhang@gru.edu</i><br /><searchLink fieldCode="AR" term="%22Pavur%2C+Robert%22">Pavur, Robert</searchLink><relatesTo>2</relatesTo><i> robert.pavur@unt.edu</i><br /><searchLink fieldCode="AR" term="%22York%2C+Paul%22">York, Paul</searchLink><relatesTo>1</relatesTo><i> pyork@gru.edu</i><br /><searchLink fieldCode="AR" term="%22Amos%2C+Clinton%22">Amos, Clinton</searchLink><relatesTo>3</relatesTo><i> clint.amos@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Informing+Science%22">Informing Science</searchLink>. 2013, Vol. 16, p1-18. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Research+on+Internet+users%22">Research on Internet users</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+security+research%22">Computer security research</searchLink><br /><searchLink fieldCode="DE" term="%22Scripting+languages+%28Computer+science%29%22">Scripting languages (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22College+students%22">College students</searchLink><br /><searchLink fieldCode="DE" term="%22Affect+%28Psychology%29%22">Affect (Psychology)</searchLink>
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  Data: This study aims to understand the web risk information seeking intention of end users. Applying the risk information seeking and processing model (RISP), this paper examines end users' web risk information seeking intention. Hypotheses are proposed concerning the intention to seek information about one emerging web risk: cross site scripting. Data were collected from 201 college students in the southern United States. The results suggest that information insufficiency, informational subjective norm, and affective response are positively related to web risk information seeking intention. In addition, informational subjective norm and negative affect are positively related to information insufficiency. Negative affect is determined by perceived vulnerability and perceived severity of the web risk. The study proves RISP to be an adequate model to use in the web risk context and provides an enriched understanding about users' intention to seek web risk information. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Informing Science is the property of Informing Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Scripting languages (Computer science)
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              Text: 2013
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