Management Information Systems Commons^™

Investigation Of Algorithmic Nudging On Decision Quality: Evidence From Randomized Experiments In Online Recommendation Settings, Yuxiao Luo

Dissertations, Theses, and Capstone Projects

Most recently, academic research has started to address the relationship between nudges and Artificial Intelligence/Machine Learning (AI/ML) and found that personalized targeting algorithms can influence individual and collective behaviors in ways that may lead to undesired consequences for both end-users and firms. This dissertation investigates the effects of digital nudging, particularly algorithmic nudging, on user’s decision quality in online badge recommendations in the e-commerce context. Nudge is a choice architecture that alters individual’s behavior in a predictable way while preserving all available options and keeping the same economic incentives. In this dissertation, I conducted three independent and relevant studies and …

Artificial Intelligence In Aviation: A Path Analysis, Leila Halawi Dba, Mark D. Miller Ed.D., Sam J. Holley Ph.D.

Journal of Aviation/Aerospace Education & Research

The study applied the Technology Acceptance Model (TAM) to assess trust in artificial intelligence (AI) within the US commercial aviation industry. It found that ease of use and usefulness positively influenced attitudes toward AI, impacting users’ intention to use it. However, perceived usefulness did not significantly affect meaning, purpose, and mood positively correlated with trust in AI. In some cases, higher perceived usefulness led to lower trust, indicating the complexity of trust in AI in aviation. This study highlights the importance of trust in AI and suggests the need for further investigation in the aviation context. It also recommends expanding …

An Empirical Study To Understand The Role Of Institution-Based Trust And Its Antecedents In Iot Adoption By Individuals, Anupam Kumar Nath, Amit Kumar Nath

Journal of International Technology and Information Management

ABSTRACT

The Internet of Things (IoT) enables the connection between humans, physical objects, and cyber objects, resulting in monitoring, automation, and decision-making capabilities. This connection can be complex and lead to uncertainty for individuals before adopting IoT technology. To address this, we conducted research on the role of Institution-based trust in the context of IoT adoption. Our model for IoT adoption is based on existing literature and includes the components of Institution-based trust and its antecedents. Through empirical testing, we confirmed that Institution-based trust positively affects IoT adoption at the individual level. Additionally, we found that User confirmation/disconfirmation and familiarity …