A multi-analytical approach to studying customers motivations to use innovative totally autonomous vehicles

Increasing technological innovation means level 5 fully autonomous vehicle pods (AVPs) that do not require a human driver are approaching reality. However, the adoption of AVPs continues to lag behind predictions. In this paper, the authors draw on Mowen's (2000) 3M model taking a multi-analytical approach utilising PLS-SEM and fuzzy set qualitative comparative analysis, to investigate how personality trait sets motivate consumers to adopt AVPs. Based on a survey of 551 US respondents, the authors identify four necessary traits and five combinations of traits that predict adoption. They contribute to consumer psychology theory by advancing the understanding of the motivational mechanisms of consumers’ adoption of autonomous vehicles that are triggered and operationalised by personality traits and conceptualising innovativeness as a complex multidimensional construct. From a managerial perspective, the authors' findings highlight the significance of incorporating elements that are congruent with target customers’ personality traits, when designing, manufacturing and commercializing innovative products.

• Record URL:
  https://doi.org/10.1016/j.techfore.2021.121252
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0040162521006867
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00401625
• Supplemental Notes:
  • © 2021 Elsevier Inc. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • McLeay, Fraser
  • 0000-0002-5535-1591
  • Olya, Hossein
  • Liu, Hongfei
  • 0000-0001-8539-9054
  • Jayawardhena, Chanaka
  • 0000-0003-0928-9835
  • Dennis, Charles
  • 0000-0001-8793-4823
• Publication Date: 2022-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Serial:
  • Technological Forecasting and Social Change
  • Volume: 174
  • Issue Number: 0
  • Publisher: Elsevier Science Publishing Company, Incorporated
  • ISSN: 0040-1625
  • Serial URL: http://www.sciencedirect.com/science/journal/00401625

Subject/Index Terms

• TRT Terms: Attitudes; Autonomous vehicles; Consumer preferences; Level 5 driving automation; Motivation
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01785147
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 22 2021 9:02AM