报告主题：A LONGITUDINAL STUDY OF UNAUTHORIZED ACCESS ATTEMPTS ON INFORMATION SYSTEMS: THE ROLE OF OPPORTUNITY CONTEXTS
报告人：Jingguo Wang 教授
报告简介：This study investigates employees’ behavior of making unauthorized access attempts on information systems (IS) applications in a financial institution and how opportunity contexts leads to 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 the location where, the employee initiated the accesses, affect the likelihood of the employee’s 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 the employee’s making unauthorized attempts. To test the 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, expect that of scope. Robustness analyses indicate that the results do not align with employees who might not know the systems well enough and could be making mistakes. We also discuss the theoretical and practical implications of the study.
人物简介：Jingguo Wang is a Professor of Information Systems and Haitian scholar of Dalian university of technology. He graduated from SUNY-Buffalo. His work has been published in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, Decision Support Systems, among others. His papers have received best paper awards at AMCIS and the International Conference on Internet Monitoring and Protection. His research has been supported by National Science Foundation and the University of Texas at Arlington.