TY - JOUR
T1 - Investigating consumer acceptance of autonomous technologies: the case of self-driving automobiles
AU - Baccarella, Christian V.
AU - Wagner, Timm F.
AU - Scheiner, Christian W.
AU - Maier, Lukas
AU - Voigt, Kai Ingo
N1 - Publisher Copyright:
© 2020, Emerald Publishing Limited.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/7/2
Y1 - 2020/7/2
N2 - Purpose: Autonomous technologies represent an increasingly important, but at the same time controversial technological field with enormous potential. From a consumer perspective, however, the growing autonomy of technologies might result in a perceived loss of control, which can lead to consumer resistance. Given the practical and theoretical relevance, this research examines antecedents to consumer adoption of autonomous technologies in the context of self-driving cars. Design/methodology/approach: This article looks through the lens of the technology acceptance model and conducts structural equation modeling. Findings: The study validates the positive effect of perceived usefulness on behavioral intention to adopt self-driving cars. The results further suggest that individuals with a generally negative attitude toward technologies are afraid that they might not be capable of handling the new technology. Moreover, further mediation analyses reveal that perceived ease of use and perceived usefulness help us to explain the indirect effects of novelty seeking and technology anxiety on adoption intention. Practical implications: The results imply that users' perceptions of an autonomous technology's usefulness are an important determinant of technology adoption. Adoption barriers could be overcome by emphasizing the usability of the new technology. On the other hand, individuals who enjoy using the old technology may be persuaded by arguments that focus on the usefulness of the new technology rather than its ease of use. Originality/value: Self-driving automobiles will change our perception of mobility. It is important to understand the mechanisms that drive the adoption of such innovations.
AB - Purpose: Autonomous technologies represent an increasingly important, but at the same time controversial technological field with enormous potential. From a consumer perspective, however, the growing autonomy of technologies might result in a perceived loss of control, which can lead to consumer resistance. Given the practical and theoretical relevance, this research examines antecedents to consumer adoption of autonomous technologies in the context of self-driving cars. Design/methodology/approach: This article looks through the lens of the technology acceptance model and conducts structural equation modeling. Findings: The study validates the positive effect of perceived usefulness on behavioral intention to adopt self-driving cars. The results further suggest that individuals with a generally negative attitude toward technologies are afraid that they might not be capable of handling the new technology. Moreover, further mediation analyses reveal that perceived ease of use and perceived usefulness help us to explain the indirect effects of novelty seeking and technology anxiety on adoption intention. Practical implications: The results imply that users' perceptions of an autonomous technology's usefulness are an important determinant of technology adoption. Adoption barriers could be overcome by emphasizing the usability of the new technology. On the other hand, individuals who enjoy using the old technology may be persuaded by arguments that focus on the usefulness of the new technology rather than its ease of use. Originality/value: Self-driving automobiles will change our perception of mobility. It is important to understand the mechanisms that drive the adoption of such innovations.
UR - http://www.scopus.com/inward/record.url?scp=85087552288&partnerID=8YFLogxK
U2 - 10.1108/EJIM-09-2019-0245
DO - 10.1108/EJIM-09-2019-0245
M3 - Journal articles
AN - SCOPUS:85087552288
SN - 1460-1060
JO - European Journal of Innovation Management
JF - European Journal of Innovation Management
ER -