Testing a model of users' web risk information seeking intention

Lixuan Zhang, Paul York, Robert Pavur, Clinton Amos

Research output: Contribution to journalArticle

3 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1-18
Number of pages18
JournalInforming Science
Volume16
Issue number1
DOIs
StatePublished - 2013

Keywords

  • Communication effectiveness
  • Computer crime
  • Information security
  • Web risk

ASJC Scopus subject areas

  • Library and Information Sciences

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