What drives the acceptance of autonomous driving?: An investigation of acceptance factors from an end-user's perspective

Ilja Nastjuk; Bernd Herrkind; Mauricio Marrone; Alfred Benedikt Brendel; Lutz M. Kolbe

doi:10.1016/j.techfore.2020.120319

What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective

Ilja Nastjuk, Bernd Herrkind, Mauricio Marrone, Alfred Benedikt Brendel, Lutz M. Kolbe

Department of Accounting and Corporate Governance

Research output: Contribution to journal › Article › peer-review

196 Citations (Scopus)

677 Downloads (Pure)

Abstract

Autonomous driving is believed to provide numerous benefits for individuals and society, including increased road safety, reduced traffic congestion, and an improved ecological footprint. However, many barriers still hinder the widespread acceptance of autonomous vehicles. Research has proposed governmental policy strategies to accelerate the diffusion of autonomous driving, but less is known about end-user perceptions of this innovative technology. First, we employ a qualitative research design to identify the elements attributed to individual acceptance of autonomous driving. Furthermore, we organize a research model based on the technology acceptance model, validated with an online survey of 316 participants. The findings reveal how social influence, system characteristics, and individual factors determine individual acceptance of autonomous driving. The research helps to strengthen the existing body of knowledge by highlighting individual perceptions, with implications for practitioners.

Original language	English
Article number	120319
Pages (from-to)	1-26
Number of pages	26
Journal	Technological Forecasting and Social Change
Volume	161
DOIs	https://doi.org/10.1016/j.techfore.2020.120319
Publication status	Published - Dec 2020

Bibliographical note

Copyright © 2020 The Author(s). Published by Elsevier Inc. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

Autonomous driving
User acceptance
Technology Acceptance Model
Technology acceptance model

Access to Document

10.1016/j.techfore.2020.120319Licence: CC BY-NC-ND

Publisher version (open access)Final published version, 1.51 MBLicence: CC BY-NC-ND

Cite this

@article{7fa9ab0c3ea04da99e257153632af9e7,

title = "What drives the acceptance of autonomous driving?: An investigation of acceptance factors from an end-user's perspective",

abstract = "Autonomous driving is believed to provide numerous benefits for individuals and society, including increased road safety, reduced traffic congestion, and an improved ecological footprint. However, many barriers still hinder the widespread acceptance of autonomous vehicles. Research has proposed governmental policy strategies to accelerate the diffusion of autonomous driving, but less is known about end-user perceptions of this innovative technology. First, we employ a qualitative research design to identify the elements attributed to individual acceptance of autonomous driving. Furthermore, we organize a research model based on the technology acceptance model, validated with an online survey of 316 participants. The findings reveal how social influence, system characteristics, and individual factors determine individual acceptance of autonomous driving. The research helps to strengthen the existing body of knowledge by highlighting individual perceptions, with implications for practitioners.",

keywords = "Autonomous driving, User acceptance, Technology Acceptance Model, Technology acceptance model",

author = "Ilja Nastjuk and Bernd Herrkind and Mauricio Marrone and Brendel, {Alfred Benedikt} and Kolbe, {Lutz M.}",

note = "Copyright {\textcopyright} 2020 The Author(s). Published by Elsevier Inc. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.",

year = "2020",

month = dec,

doi = "10.1016/j.techfore.2020.120319",

language = "English",

volume = "161",

pages = "1--26",

journal = "Technological Forecasting and Social Change",

issn = "0040-1625",

publisher = "EXCERPTA MEDICA INC-ELSEVIER SCIENCE INC",

}

TY - JOUR

T1 - What drives the acceptance of autonomous driving?

T2 - An investigation of acceptance factors from an end-user's perspective

AU - Nastjuk, Ilja

AU - Herrkind, Bernd

AU - Marrone, Mauricio

AU - Brendel, Alfred Benedikt

AU - Kolbe, Lutz M.

N1 - Copyright © 2020 The Author(s). Published by Elsevier Inc. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2020/12

Y1 - 2020/12

N2 - Autonomous driving is believed to provide numerous benefits for individuals and society, including increased road safety, reduced traffic congestion, and an improved ecological footprint. However, many barriers still hinder the widespread acceptance of autonomous vehicles. Research has proposed governmental policy strategies to accelerate the diffusion of autonomous driving, but less is known about end-user perceptions of this innovative technology. First, we employ a qualitative research design to identify the elements attributed to individual acceptance of autonomous driving. Furthermore, we organize a research model based on the technology acceptance model, validated with an online survey of 316 participants. The findings reveal how social influence, system characteristics, and individual factors determine individual acceptance of autonomous driving. The research helps to strengthen the existing body of knowledge by highlighting individual perceptions, with implications for practitioners.

AB - Autonomous driving is believed to provide numerous benefits for individuals and society, including increased road safety, reduced traffic congestion, and an improved ecological footprint. However, many barriers still hinder the widespread acceptance of autonomous vehicles. Research has proposed governmental policy strategies to accelerate the diffusion of autonomous driving, but less is known about end-user perceptions of this innovative technology. First, we employ a qualitative research design to identify the elements attributed to individual acceptance of autonomous driving. Furthermore, we organize a research model based on the technology acceptance model, validated with an online survey of 316 participants. The findings reveal how social influence, system characteristics, and individual factors determine individual acceptance of autonomous driving. The research helps to strengthen the existing body of knowledge by highlighting individual perceptions, with implications for practitioners.

KW - Autonomous driving

KW - User acceptance

KW - Technology Acceptance Model

KW - Technology acceptance model

UR - http://www.scopus.com/inward/record.url?scp=85091505828&partnerID=8YFLogxK

U2 - 10.1016/j.techfore.2020.120319

DO - 10.1016/j.techfore.2020.120319

M3 - Article

SN - 0040-1625

VL - 161

SP - 1

EP - 26

JO - Technological Forecasting and Social Change

JF - Technological Forecasting and Social Change

M1 - 120319

ER -