User Acceptance Factors of Usage-Based Insurance

Quintero J, Karaseva V, Gassmann F, Benenson Z (2023)

Publication Type: Conference contribution

Publication year: 2023

Publisher: IOS Press BV

Book Volume: 34

Pages Range: 137-147

Conference Proceedings Title: Advances in Transdisciplinary Engineering

Event location: Paris, FRA

ISBN: 9781643683843

DOI: 10.3233/ATDE230018

Abstract

Intelligent Transportation Systems (ITS) are utilized in car insurance policies known as Usage-Based Insurance (UBI), where driving data is collected using a telematics device to determine driving behavior. This enables offering personalized car insurance fees based on driving performance. Current research focuses on advantages, disadvantages, and privacy aspects of UBI, paying less attention to its user acceptance. In this work, we propose a UBI acceptance model based on an adaptation of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and test it with 585 participants by means of structural equation modeling. We find that social influence and hedonic motivation are the most important predictors of the intention to use UBI, and perceived privacy influences it indirectly. Furthermore, we refine the model with new connections, improving model fit.

Authors with CRIS profile

Juan Quintero Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen) Victoria Karaseva Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen) Zinaida Benenson Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)

Involved external institutions

Universität des Saarlandes (UdS) DE Germany (DE)

How to cite

APA:

Quintero, J., Karaseva, V., Gassmann, F., & Benenson, Z. (2023). User Acceptance Factors of Usage-Based Insurance. In Mahmoud Shafik (Eds.), Advances in Transdisciplinary Engineering (pp. 137-147). Paris, FRA: IOS Press BV.

MLA:

Quintero, Juan, et al. "User Acceptance Factors of Usage-Based Insurance." Proceedings of the 6th International Conference on Intelligent Traffic and Transportation, ICITT 2022, Paris, FRA Ed. Mahmoud Shafik, IOS Press BV, 2023. 137-147.

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