Drivers of autonomous vehicles-analyzing consumer preferences for self-driving car brand extensions

被引:14
|
作者
Eggers, Felix [1 ]
Eggers, Fabian [2 ]
机构
[1] Univ Groningen, Dept Mkt, POB 800, NL-9700 AV Groningen, Netherlands
[2] Menlo Coll, Dept Mkt, 1000 El Camino Real, Atherton, CA 94027 USA
关键词
Autonomous cars; Brand extension; Brand image; Innovations; Conjoint analysis; FIT; SIMILARITY; SUCCESS; CONTEXT; CHOICE; IMPACT; IMAGE;
D O I
10.1007/s11002-021-09571-x
中图分类号
F [经济];
学科分类号
02 ;
摘要
Autonomous cars are considered to be the next disruptive innovation that will affect consumers. It can be expected that not only traditional automakers will enter this market (e.g., Ford) but also technology companies (e.g., Google) and newer companies dedicated to self-driving cars (e.g., Tesla). We take a brand extension perspective and analyze to what extent consumers prefer autonomous cars from these brand categories. Our empirical study is based on discrete choice experiments about adopting autonomous vehicles in a purchase scenario and in a renting context. Our findings show that brands play a central role when making autonomous driving decisions. Brand preferences differ systematically when buying versus renting a self-driving car. While technology brands are most preferred overall, consumers favor automaker brands over new brands only when purchasing, not when renting. We further disentangle the brand strength into the marginal effects of image associations. For example, Google's strong brand positioning can be explained by experiences with the parent brand, but it could still improve brand strength by highlighting the relevance of the associated brand portfolio for self-driving cars. The effect of these brand extension success factors differs between parent-brand categories and also between the renting and purchasing scenarios, which requires a dedicated brand management.
引用
收藏
页码:89 / 112
页数:24
相关论文
共 39 条
  • [31] Virtual Assistants and Self-Driving Cars: To what extent is Artificial Intelligence needed in Next-Generation Autonomous Vehicles?
    Lugano, Giuseppe
    2017 15TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS (ITST), 2017,
  • [32] AI, you can drive my car: How we evaluate human drivers vs. self-driving cars
    Hong, Joo-Wha
    Cruz, Ignacio
    Williams, Dmitri
    COMPUTERS IN HUMAN BEHAVIOR, 2021, 125
  • [33] Coverage based testing for V&V and Safety Assurance of Self-driving Autonomous Vehicles: A Systematic Literature Review
    Tahir, Zaid
    Alexander, Rob
    2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE TESTING (AITEST), 2020, : 23 - 30
  • [34] Learning the "Language" of Road Users - How Shall a Self-driving Car Convey Its Intention to Cooperate to Other Human Drivers?
    Kauffmann, Nina
    Naujoks, Frederik
    Winkler, Franz
    Kunde, Wilfried
    ADVANCES IN HUMAN FACTORS AND SYSTEMS INTERACTION, 2018, 592 : 53 - 63
  • [36] Review of Learning-Based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps Between Self-Driving and Traffic Congestion
    Zhou, Hao
    Laval, Jorge
    Zhou, Anye
    Wang, Yu
    Wu, Wenchao
    Qing, Zhu
    Peeta, Srinivas
    TRANSPORTATION RESEARCH RECORD, 2022, 2676 (01) : 324 - 341
  • [37] It's Small Talk, Jim, But Not as We Know It." Engendering Trust through Human-Agent Conversation in an Autonomous, Self-Driving Car
    Large, David R.
    Clark, Leigh
    Burnett, Gary
    Harrington, Kyle
    Luton, Jacob
    Thomas, Peter
    Bennett, Pete
    PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON CONVERSATIONAL USER INTERFACES (CUI 2019), 2019,
  • [38] Acceptance of self-driving cars among the university community: Effects of gender, previous experience, technology adoption propensity, and attitudes toward autonomous vehicles
    Hogye-Nagy, Agnes
    Kovacs, Gabor
    Kurucz, Gyozo
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2023, 94 : 353 - 361
  • [39] Capturing the behavioural determinants behind the adoption of autonomous vehicles: Conceptual frameworks and measurement models to predict public transport, sharing and ownership trends of self-driving cars
    Acheampong, Ransford A.
    Cugurullo, Federico
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 62 : 349 - 375