A LONGITUDINAL STUDY OF UNAUTHORIZED ACCESS ATTEMPTS ON INFORMATION SYSTEMS: THE ROLE OF OPPORTUNITY CONTEXTS

• 成果类型: Article
• 署名作者: Wang, Jingguo; Shan, Zhe; Gupta, Manish; Rao, H. Raghav
• 署名单位: University of Texas System; University of Texas Arlington; University System of Ohio; Miami University; State University of New York (SUNY) System; University at Buffalo, SUNY; University of Texas System; University of Texas at San Antonio
• 刊物名称: MIS QUARTERLY
• ISSN/ISSBN: 0276-7783
• DOI: 10.25300/MISQ/2019/14751
• 发表日期: 2019
• 页码: 601-+
• 关键词: security policy compliance; insider threat prediction; computer abuse; routine activities; crime; RISK; deterrence; ORGANIZATIONS; victimization; behaviors

摘要

This study investigates employee behavior of unauthorized access attempts on information systems (IS) applications in a financial institution and examines how opportunity contexts facilitate such behavior. By contextualizing multilevel criminal opportunity theory, we develop a model that considers both employee- and department-level opportunity contexts. At the employee level, we hypothesize that the scope and data value of the applications that an employee has legitimately accessed, together with the time when and location where the employee initiates access, affect the likelihood of the employee making unauthorized access attempts. At the department level, we hypothesize that department size moderates the impact of employee-level contextual variables on the likelihood of an employee making unauthorized attempts. To test these hypotheses, we collected six months of access log data from an enterprise single sign-on system of a financial institution. We find the hypothesized main effects of all employee-level contextual variables and department size are supported. In addition, department size reinforces the effects of data value, off-hour access, off-site access, and their interaction term, except for that of scope, on the outcome variable. Robustness analyses indicate that the proposed model does not align with those employees who might not know the systems well enough or who might make honest mistakes. We also discuss the theoretical and practical implications of the study.