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

Ruggeri, Kai and Kácha, Ondřej and Menezes, Igor and Kos, Michaela and Franklin, Matija and Parma, Laurie and Langdon, Patrick and Miles, John (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 . pp. 39-44. ISSN 0923-4748

Full content URL: https://doi.org/10.1016/j.jengtecman.2018.09.001

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

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Item Type:Article
Item Status:Live Archive

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.

Keywords:Autonomous vehicles, Public attitudes, Population behavior, Self-driving cars, Innovation management, Policy management
Subjects:J Technologies > J990 Technologies not elsewhere classified
Divisions:Lincoln International Business School
ID Code:33388
Deposited On:14 Jan 2019 12:05

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