TY - GEN
T1 - Quality attributes of robotic vehicles and their market potential
AU - Frank, B.
AU - Schvaneveldt, S. J.
N1 - Funding Information:
The authors extend their gratitude to all survey participants and gratefully acknowledge financial support by JSPS KAKENHI (grant no. 16K13396).
Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/9
Y1 - 2018/2/9
N2 - The development of robotic, self-driving vehicles is set to revolutionize the automotive industry. While automotive manufacturers, automotive suppliers, and IT firms are pushing the technical development of this new technology, there is a gap of knowledge in the literature on the customer perceptions of quality attributes of this new technology and on how these quality attributes influence purchase intentions positively or negatively. Therefore, this study aims to analyze what customers perceive as functional, economic, hedonic, and symbolic benefits and drawbacks of robotic vehicles and how these benefits and drawbacks influence customer intentions to purchase and recommend robotic vehicles. Based on cross-national customer data, this study identifies what drives customer intentions to purchase and recommend both fully autonomous and partially autonomous robotic vehicles for different legal scenarios. The results are relevant for managers, policy makers, and researchers interested in improving customer orientation in the development of autonomous driving technology.
AB - The development of robotic, self-driving vehicles is set to revolutionize the automotive industry. While automotive manufacturers, automotive suppliers, and IT firms are pushing the technical development of this new technology, there is a gap of knowledge in the literature on the customer perceptions of quality attributes of this new technology and on how these quality attributes influence purchase intentions positively or negatively. Therefore, this study aims to analyze what customers perceive as functional, economic, hedonic, and symbolic benefits and drawbacks of robotic vehicles and how these benefits and drawbacks influence customer intentions to purchase and recommend robotic vehicles. Based on cross-national customer data, this study identifies what drives customer intentions to purchase and recommend both fully autonomous and partially autonomous robotic vehicles for different legal scenarios. The results are relevant for managers, policy makers, and researchers interested in improving customer orientation in the development of autonomous driving technology.
KW - Autonomous driving
KW - customer value
KW - quality perceptions
KW - robotic vehicle
KW - self-driving car
UR - http://www.scopus.com/inward/record.url?scp=85045234605&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045234605&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2017.8289991
DO - 10.1109/IEEM.2017.8289991
M3 - Conference contribution
AN - SCOPUS:85045234605
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 750
EP - 754
BT - 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
PB - IEEE Computer Society
T2 - 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Y2 - 10 December 2017 through 13 December 2017
ER -