Quality attributes of robotic vehicles and their market potential

B. Frank, S. J. Schvaneveldt

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
出版社IEEE Computer Society
ページ750-754
ページ数5
ISBN(電子版)9781538609484
DOI
出版ステータスPublished - 2018 2 9
外部発表はい
イベント2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore
継続期間: 2017 12 102017 12 13

出版物シリーズ

名前IEEE International Conference on Industrial Engineering and Engineering Management
2017-December
ISSN(印刷版)2157-3611
ISSN(電子版)2157-362X

Other

Other2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
CountrySingapore
CitySingapore
Period17/12/1017/12/13

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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