Degree

Doctor of Business Administration (DBA)

Department

Stephenson Department of Entrepreneurship and Information Systems

Document Type

Dissertation

Abstract

This dissertation is focused on SAE Level 2 Advanced Driver Assistance Systems (L2ADAS), with an emphasis on driver acceptance and perceptions. It navigates through the confusion surrounding semi-automated driving technologies, helping inform the discussion of how misleading terminologies like "Autopilot" and "Super Cruise" can lead to driver overestimation of these systems' capabilities, raising safety concerns due to overreliance. Employing the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model (Venkatesh, Thong, & Xu, 2012), the research investigates factors influencing L2ADAS adoption, incorporating social and behavioral elements to provide a comprehensive view of the obstacles and catalysts for technology acceptance in terms of L2ADAS. The findings aim to guide advancements in research, driver education, policy making, and the continued evolution of automated driving technologies towards enhanced efficiency, while keeping an appropriate focus on public safety. The study offers insights beneficial to researchers, manufacturers, policymakers, and educators, emphasizing the importance of transparent communication about the capabilities and limitations of semi-automated driver assistance systems. This research helps inform the present and future, where the use of these systems continues its upward trend.

Date

4-25-2024

Committee Chair

Schneider, Helmut

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Available for download on Sunday, April 25, 2027

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