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Two Project On Information Systems Capabilities And Organizational Performance, Giridhar Reddy Bojja
Two Project On Information Systems Capabilities And Organizational Performance, Giridhar Reddy Bojja
Masters Theses & Doctoral Dissertations
Information systems (IS), as a multi-disciplinary research area, emphasizes the complementary relationship between people, organizations, and technology and has evolved dramatically over the years. IS and the underlying Information Technology (IT) application and research play a crucial role in transforming the business world and research within the management domain. Consistent with this evolution and transformation, I develop a two-project dissertation on Information systems capabilities and organizational outcomes.
Project 1 examines the role of hospital operational effectiveness on the link between information systems capabilities and hospital performance. This project examines the cross-lagged effects on a sample of 217 hospitals measured over …
Leaderboard Design Principles Influencing User Engagement In An Online Discussion, Brian S. Bovee
Leaderboard Design Principles Influencing User Engagement In An Online Discussion, Brian S. Bovee
Masters Theses & Doctoral Dissertations
Along with the popularity of gamification, there has been increased interest in using leaderboards to promote engagement with online learning systems. The existing literature suggests that when leaderboards are designed well they have the potential to improve learning, but qualitative investigations are required in order to reveal design principles that will improve engagement. In order to address this gap, this qualitative study aims to explore students' overall perceptions of popular leaderboard designs in a gamified, online discussion. Using two leaderboards reflecting performance in an online discussion, this study evaluated multiple leaderboard designs from student interviews and other data sources regarding …
Improving Adversarial Attacks Against Malconv, Justin Burr
Improving Adversarial Attacks Against Malconv, Justin Burr
Masters Theses & Doctoral Dissertations
This dissertation proposes several improvements to existing adversarial attacks against MalConv, a raw-byte malware classifier for Windows PE files. The included contributions greatly improve the success rates and performance of gradient-based file overlay attacks. All improvements are included in a new open-source attack utility called BitCamo.
Several new payload initialization strategies for use with gradient-based attacks are proposed and evaluated as potential replacements for the randomized initialization method used by current attacks. An algorithm for determining the optimal payload size is also proposed. The resulting improvements achieve a 100% evasion rate against eligible target executables using an average payload size …