Abstract

Driverless cars are seen as one of the key disruptors in the next technology revolution. However, the main barrier to adoption is the lack of public trust. The purpose of this study is to investigate the key factors influencing the adoption of driverless cars. Drawing on quantitative evidence, the study found that the ability of the driverless car to meet performance expectations and its reliability were important adoption determinants. Significant concerns included privacy (autonomy, location tracking and surveillance) and security (from hackers). The paper provides implications for firms developing the next generation of car features and early implementation sites.

Highlights

  • The World Health Organization has indicated that 1.2 million people die in accidents each year (WHO, 2015)

  • Driverless cars have been deemed an important technology in reducing a portion of those deaths due to human error (Kyriakidis et al, 2015)

  • A driverless car, otherwise termed a self-driving car or an autonomous car, broadly refers to a robotic vehicle that works without a human operator (Benenson et al, 2008; Paden et al, 2016)

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Summary

Introduction

The World Health Organization has indicated that 1.2 million people die in accidents each year (WHO, 2015). A driverless car, otherwise termed a self-driving car or an autonomous car, broadly refers to a robotic vehicle that works without a human operator (Benenson et al, 2008; Paden et al, 2016). There are various levels of automation of driverless cars and various classification systems exist (the widely adopted SAE standard, the National Highway Traffic Safety Administration (NHTSA) standard and the German Federal Highway Research Institute (BASt) standard). These systems generally encompass five levels of automation from no automation to various levels of partial automation to fully automated (Kyriakidis et al, 2015)

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