In with the new? Generational differences shape population technology adoption patterns in the age of self-driving vehicles

Ruggeri, Kai; K�cha, Ond?ej; Menezes, Igor G.; Kos, Michaela; Franklin, Matija; Parma, Laurie; Langdon, Patrick; Matthews, Brian; Miles, John

Abstract

With rapid growth of self-driving vehicle technologies, policymakers and industry are actively engaging the public to understand attitudes toward smart mobility. As public officials explore implementing connected systems, they may find diverse reactions. We present an important insight using precise technology adoption curves for three age groups within a major initiative in the United Kingdom, going beyond theoretical expectations. Specifically, the adaptation of self-driving cars reflects the patterns of adaptation to previous technologies. Furthermore, older participants were more likely to be late adopters of the technology than younger participants. Implications from these insights offer the opportunity to enhance public engagement and optimize the implementation of such systems, thereby maximizing population benefits.

Citation

Ruggeri, K., Kácha, O., Menezes, I. G., Kos, M., Franklin, M., Parma, L., Langdon, P., Matthews, B., & Miles, J. (2018). In with the new? Generational differences shape population technology adoption patterns in the age of self-driving vehicles. Journal of Engineering and Technology Management, 50, 39-44. https://doi.org/10.1016/j.jengtecman.2018.09.001

• Journal Article Type: Article
• Acceptance Date: Sep 12, 2018
• Online Publication Date: Sep 27, 2018
• Publication Date: 2018-10
• Deposit Date: Jan 13, 2020
• Journal: Journal of Engineering and Technology Management
• Print ISSN: 0923-4748
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 50
• Pages: 39-44
• DOI: https://doi.org/10.1016/j.jengtecman.2018.09.001
• Public URL: http://researchrepository.napier.ac.uk/Output/2392154